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awesome-coolify-mcp — a friendly mascot next to a glowing dashboard showing a server fleet, a terminal, a deploy arrow, and a safety shield

awesome-coolify-mcp

Operate Coolify from your coding agent.
Verify connectivity, discover infrastructure, create workloads, deploy, follow logs, diagnose incidents, and run gated emergency ops — across one or many self-hosted or Cloud instances —
straight from Cursor, Claude, VS Code, Windsurf, or any MCP-speaking agent.

🇩🇪 Deutsch · Coolify · Model Context Protocol · Install configurator ↗

npm version npm downloads Node.js >= 24 TypeScript Coolify API 4.1.x 18 tools CI status Latest GitHub release MIT License

Overview · Why · Features · Architecture · Quick start · Install · Cloud · Tools · Prompts · Safety · Roadmap

Add awesome-coolify-mcp to Cursor    Install awesome-coolify-mcp in VS Code

One click installs with placeholder credentials — see Install for the full walkthrough, or use the browser configurator to fill in real values safely.


📋 Table of contents


🔭 Overview

Self-hosted Coolify is one of the best open-source alternatives to Heroku/Vercel-style PaaS platforms — but wiring it up to an AI coding agent has historically meant piecing together several small, overlapping community MCP integrations, each with its own schema, its own error format, and its own idea of what "safe" looks like.

awesome-coolify-mcp 1.1.0 replaces that patchwork with a single, community-maintained MCP server that speaks Coolify's REST API 4.1.x through a clean, action-based tool surface. Source, docs, and npm distribution live in one public repo — clezcoding/awesome-coolify — while the installable package stays awesome-coolify-mcp. Instead of memorizing dozens of near-identical tool names, your agent calls one of 18 tools with an action field:

application({ action: "deploy", uuid: "<app-uuid>", wait: false })
deployment({ action: "watch", deployment_uuid: "<deployment_uuid>", timeout: 300 })
diagnose({ action: "scan" })
emergency({ action: "stop_all", confirm: true })

Under the hood, every call goes through the same request pipeline: Zod-validated input, retrying HTTP client, secret-aware output masking, and structured error envelopes with recovery hints — so your agent fails gracefully instead of guessing.

Note

This is a community project built for people who run their own Coolify instances. It is not affiliated with or endorsed by Coolify Labs.


🆚 Why awesome-coolify-mcp

Typical setup without it With awesome-coolify-mcp
Several overlapping community MCP tools, each with its own schema One server, one consistent schema
Dozens of granular, single-purpose tools per resource 18 tools with consistent action discriminators
Ad-hoc error strings that agents have to guess at Structured codes (COOLIFY_401, COOLIFY_404, …) + machine-readable recovery hints
Secrets can leak straight into agent context Default secret masking + confirmation gates on destructive actions
Read a wall of raw JSON to find what changed Bounded, paginated projections tuned for LLM context windows

Today, the shipped surface covers day-2 operations and infrastructure creation: verify connectivity, discover fleets, deploy and watch builds, inspect bounded logs, diagnose incidents, run gated emergency ops, and manage applications, services, databases, SSH keys, servers, projects, environments, backups, and environment variables.


✨ Features

Feature highlights: action-based tools, safety gates, diagnose, deploy and logs

  • 18 action-based tools — call application({ action: "deploy", uuid }) instead of hunting through dozens of granular tool names. The registered surface is system, meta, resource, diagnose, application, emergency, deployment, service, database, private_key, instance, manifest, server, project, environment, docs, recipe, and setup.
  • Multi-instance registry & routing — register every Coolify instance you own in ~/.coolify-mcp/instances.json via the instance tool; per-call credential resolution with no cross-instance leakage.
  • Coolify Cloud awareinstance({ action: "cloud-info" }) for local discovery, team-scoped tokens, and structured cloud error codes (COOLIFY_CLOUD_FORBIDDEN, COOLIFY_CLOUD_UNSUPPORTED).
  • Local manifest cache.coolify/manifest.json sync via manifest({ action: "sync" }), best-effort auto-hooks on app/service/DB mutations, and _meta.manifestWarning when the cache is stale.
  • Server branding — MCP list icon via serverInfo.icons (embedded data URI + jsDelivr CDN entries from docs/assets/).
  • Ops workflows that mirror real incidents — a single system.infrastructure_overview call for the big picture, fuzzy resource.find when you only remember a name or domain, diagnose.app / diagnose.server for a specific suspect, and diagnose.scan when you just know something is wrong fleet-wide.
  • Deploy lifecycle agents can drive — start/stop/restart, force rebuild, deployment.watch with bounded backoff, deployment.logs for builds, bounded application.logs, and runtime follow with idle/overall timeouts.
  • Full workload CRUD — create, inspect, update, delete, and operate applications, services, and databases; discover live one-click IDs with service.list-types.
  • Recipes and guided setup — create git apps, app-plus-database stacks, and one-click services; run setup.preflight, setup.wire, or setup.resume; install four matching IDE workflow skills.
  • Safety by default, not by convention — emergency mutations require an explicit confirm: true; sensitive keys (password, token, secret, private, env) render as *** unless you opt in with reveal: true.
  • Agent-friendly failure modes — every error is a parseable envelope with a code, a human message, and recoveryHints; transient network/429/5xx failures retry automatically with exponential backoff.
  • Broad client coverage out of the box — Cursor, VS Code / GitHub Copilot, Claude Desktop, Claude Code, Windsurf, and 15+ more via the install configurator.

🏗️ How it works

Architecture: MCP clients talk to awesome-coolify-mcp's domain tools, which talk to the Coolify REST API 4.1.x

MCP client (Cursor / Claude / VS Code / …)
        │  stdio MCP
        ▼
awesome-coolify-mcp  (18 tools + action discriminator)
        │  optional ~/.coolify-mcp/instances.json resolution
        │  HTTPS + Bearer token
        ▼
Coolify REST API 4.1.x  (servers · projects · applications · services · databases)

The server itself is intentionally boring: it holds no long-lived state and never touches your IDE's config files. Your MCP host (Cursor, Claude, VS Code, …) injects COOLIFY_URL and COOLIFY_TOKEN through its MCP config's env block — or you register named instances in ~/.coolify-mcp/instances.json via the instance tool. The process reads credentials from its environment (or the registry) and forwards authenticated requests to your Coolify instance over HTTPS.


🚀 Quick start

Prerequisites

  • Node.js 24+ (Active LTS; CI uses Node 24)
  • A self-hosted Coolify instance on 4.1.x
  • An API token from Coolify → Keys & Tokens (authorization docs)

Run it directly with npx — no global install needed:

npx -y awesome-coolify-mcp

Wire the two required environment variables into your MCP host (see Install for every client). Once connected, a minimal smoke test looks like this:

meta({ action: "version" })                       // server identity — no Coolify call
system({ action: "verify" })                      // authenticate + connectivity check
system({ action: "infrastructure_overview" })     // servers, projects, apps, services, DBs at a glance

Note

Multi-instance users: register each Coolify instance first with instance({ action: "add", name, url, token }), then call system({ action: "verify" }). Single-instance setups can skip the registry and use COOLIFY_URL / COOLIFY_TOKEN in MCP env.

Important

Emergency actions (stop_all, redeploy_project, restart_project) require confirm: true. Call them without confirm first — you'll get a would_affect preview and no mutation runs. Only pass reveal: true when you genuinely need plaintext secrets back.


📦 Install

There are three equally supported paths — pick whichever fits your workflow.

1. One-click deeplink

Best when you already have your Coolify URL and token handy. Placeholder credentials work fine too — you'll be prompted to fill them in, or you can swap them afterwards.

Add awesome-coolify-mcp to Cursor    Install awesome-coolify-mcp in VS Code

How these links work (click to expand)

Both editors implement a protocol handler that reads a JSON server configuration straight out of the URL:

Client Scheme Encoding
Cursor cursor://anysphere.cursor-deeplink/mcp/install?name=…&config=… (mirrored at https://cursor.com/en/install-mcp?… for a friendlier landing page) config is base64-encoded JSON
VS Code / Copilot vscode:mcp/install?name=…&config=… config is URL-encoded JSON

Clicking the button opens your editor, shows the server it's about to add, and lets you review or edit the command/env before accepting — nothing is installed silently.

2. Install configurator (GitHub Pages)

Use the browser configurator to type in your real COOLIFY_URL / COOLIFY_TOKEN and generate a ready-to-paste snippet for your exact client — JSON, TOML, or YAML depending on what that client expects.

Everything runs client-side in your browser. Your token is never sent to a backend, logged, or stored anywhere but the config file you paste it into.

3. Manual MCP config

Paste this into your host's MCP configuration file. Cursor example (~/.cursor/mcp.json for global, or .cursor/mcp.json in a project):

{
  "mcpServers": {
    "awesome-coolify-mcp": {
      "command": "npx",
      "args": ["-y", "awesome-coolify-mcp"],
      "env": {
        "COOLIFY_URL": "https://coolify.example.com",
        "COOLIFY_TOKEN": "YOUR_COOLIFY_API_TOKEN",
        "COOLIFY_VERIFY_SSL": "true",
        "COOLIFY_MCP_LOG": "info"
      }
    }
  }
}

A ready-made copy-paste template also lives at docs/mcp.example.json.

Tip

Using Coolify Cloud? Generate a team-scoped token and follow the registry setup in docs/en/cloud.md.

IDE skills (Cursor, Claude Code, Codex)

Install Coolify workflow skills for Cursor, Claude Code, and Codex:

npx skills add clezcoding/awesome-coolify -a cursor -a claude-code -a codex

After MCP install, run setup({ action: "preflight" }) or see the Setup guide for gh preflight, project linkage, and greenfield provisioning.


🖥️ Supported clients

Client Config location Notes
Cursor ~/.cursor/mcp.json One-click deeplink or manual JSON
VS Code / GitHub Copilot .vscode/mcp.json Native inputs prompts for URL/token — no plaintext in the file
Claude Desktop claude_desktop_config.json Manual JSON or configurator output today
Claude Code ~/.claude.json or .mcp.json stdio via npx -y awesome-coolify-mcp
Windsurf ~/.codeium/windsurf/mcp_config.json Same npx + env pattern as Cursor

The install configurator covers a much wider matrix — OpenCode, Codex CLI, Gemini CLI, Cline, Kilo Code, Goose, LM Studio, Hermes Agent, Kimi Code, Google Antigravity, OpenClaw, and more — with the correct config shape for each.

Note

Claude Desktop currently uses manual JSON or configurator output.


🔐 Environment variables

Variable Required Default Description
COOLIFY_URL yes* Coolify base URL, no trailing slash — e.g. https://coolify.example.com
COOLIFY_TOKEN yes* Bearer API token, scoped to your team
COOLIFY_VERIFY_SSL no true Set to false only for self-signed certs on local/dev instances
COOLIFY_MCP_LOG no info Log verbosity: debug · info · error

Credentials are read from the process environment (your IDE's MCP env block) or an optional local .env file when running the CLI directly. They are never echoed back inside tool responses.

Note

With the multi-instance registry (~/.coolify-mcp/instances.json), COOLIFY_URL and COOLIFY_TOKEN become optional — the instance tool resolves credentials per call. Env vars remain the simplest path for single-instance setups.


☁️ Coolify Cloud

awesome-coolify-mcp works with Coolify Cloud using the same 18 tools — team-scoped tokens, structured cloud error codes (COOLIFY_CLOUD_FORBIDDEN, COOLIFY_CLOUD_UNSUPPORTED), and local instance action cloud-info for discovery.

Run instance({ action: "cloud-info" }) before your first Cloud session — it returns isCloud, resolved url, credential source (registry | env | infer), knownLimits, and a docs link. No live API call.

Full setup, smoke test, and known limits → docs/en/cloud.md


💬 MCP Prompts

Four parameterized workflow prompts return numbered step guidance (English bodies) that orchestrate existing tools. All arguments are optional — open any prompt without prefill.

Prompt Args (all optional) Purpose
deploy instance?, uuid?, force? Deploy an application and monitor until terminal status
diagnose instance?, uuid? Investigate app, server, or fleet-wide issues
new-project instance?, name?, server_uuid? Create project, environment, and optional server linkage
incident instance?, uuid?, project_uuid? Triage with diagnose, logs, restart, or emergency redeploy

Prompt handlers never read .coolify/manifest.json from disk — they steer the agent to resolve UUIDs from manifest or ask the user.


🧰 Tools reference

Every domain is exposed as one MCP tool with an action discriminator, so your agent's tool list stays short while the capability surface stays wide.

system({ action: "health" })
application({ action: "deploy", uuid: "<app-uuid>", wait: false })
deployment({ action: "watch", deployment_uuid: "<deployment_uuid>", timeout: 300 })
emergency({ action: "stop_all", confirm: true })

🖥️ system — connectivity & overview

Your first call in any session: is Coolify reachable, and what does the fleet look like right now?

Action Purpose
health Verify Coolify API reachability
version Coolify instance version string
verify Authenticate; returns connectivity + version in one call
infrastructure_overview Aggregate counts across servers, projects, applications, services, databases

🏷️ meta — server identity

Action Purpose
version awesome-coolify-mcp's own package name + semver — no Coolify call at all

🔎 resource — discovery

For when you know roughly what you're looking for but not its exact UUID.

Action Purpose
list Applications, services, and databases as summary projections, with pagination _meta
find Fuzzy search by name, domain, or IP across servers and resources — ranked, capped at 10

🩺 diagnose — investigation

The tool you reach for when something feels wrong but you don't yet know what.

Action Purpose
app App status, health, env var count, and recent deployments
server Server resources, domains, and reachability
scan Fleet-wide issues grouped by severity — the "what's on fire" button
logs Resolve an application, return triage context, and optionally include bounded runtime or deployment logs

🚀 application — app operations

Action Purpose
get Detailed application configuration
start / stop / restart Container lifecycle control
deploy Trigger a deploy with optional force rebuild; use wait: false + deployment.watch (recommended) or legacy wait: true poll
logs Bounded runtime logs, or bounded follow mode with idle and overall timeouts
envs:list / envs:get List or fetch env vars (values masked as *** unless reveal: true)
envs:create / envs:update Create or update individual env vars (supports is_preview, is_literal, is_multiline, is_shown_once)
envs:delete Delete one env var — requires confirm: true
envs:bulk-update Patch many env vars at once — requires confirm: true
envs:sync Diff/apply a local .env file or inline content — application only; see Resource env vars

📈 deployment — deploy tracking

Action Purpose
list Deployments for a given application
get Status, commit, and timing details for one deployment
watch Poll until terminal with bounded timeout, backoff, and jitter
cancel Cancel an in-flight deployment cleanly
logs Bounded deployment build logs by deployment UUID, or newest deployment for an application

⏱️ Watch — bounded deploy monitoring

After application.deploy with wait: false, call deployment.watch — do not loop deployment.get manually.

Behavior Detail
Default timeout 300 seconds
Poll interval Starts at 3s, caps at 30s with equal-jitter backoff
Timeout recovery Re-call deployment.watch with the same deployment_uuid (raise timeout for slow builds)
Failed / cancelled Tool returns a clear error — do not treat as success
Legacy application.deploy wait:true still works but is back-compat only; prefer watch
application({ action: "deploy", uuid: "<app-uuid>", wait: false })
deployment({ action: "watch", deployment_uuid: "<deployment_uuid>", timeout: 300 })

The shipped IDE skill packs use this same bounded watch flow and document timeout recovery.

🧩 service / database — sidecar lifecycle

Tool Actions
service get, start, stop, restart, deploy, create (one-click type XOR compose), update, delete, delete_preview, envs:list, envs:get, envs:create, envs:update, envs:delete, envs:bulk-update
database get, start, stop, restart, create (8 engines), update, delete, delete_preview, envs:list, envs:get, envs:create, envs:update, envs:delete, envs:bulk-update, backup:create, backup:list, backup:update, backup:delete, backup:now, backup:history

🍳 recipe — multi-resource orchestration

One MCP call to stand up common workload patterns — application + database wiring, git apps, or validated one-click services.

Action Purpose
create-git-app Create a git-backed application with local build_pack detection (Dockerfile / Dockerfile.* glob)
create-app-db Create a database + application and wire DATABASE_URL (or custom env_key) between them
create-one-click Create a one-click service after validating type against the live service-templates catalog

Safety: Recipe creates are intentional — no confirm gate. No dry-run / preview. Partial failure does not auto-rollback; created UUIDs are returned in error.data. Connection strings are masked unless reveal: true.

recipe({ action: "create-git-app", server_uuid, git_repository, git_branch, repo_path: "/path/to/repo" })
recipe({ action: "create-app-db", server_uuid, app_name, db_name, db_engine: "postgresql" })
recipe({ action: "create-one-click", server_uuid, type: "gitea" })

Also use service.list-types to discover valid one-click type IDs before create-one-click.

🌱 Resource environment variables (envs:*)

Manage Coolify runtime configuration on applications, services, and databases through envs:* actions on the existing domain tools — no separate env MCP tool.

Tool envs:* actions Notes
application envs:list, envs:get, envs:create, envs:update, envs:delete, envs:bulk-update, envs:sync Only tool with local .env sync
service envs:list, envs:get, envs:create, envs:update, envs:delete, envs:bulk-update No sync — use application for .env diff/apply
database envs:list, envs:get, envs:create, envs:update, envs:delete, envs:bulk-update is_preview is not supported on database env vars (Coolify OpenAPI gap)

Confirm gates: envs:delete and envs:bulk-update always require confirm: true on all three tools. On application only, envs:sync requires confirm: true when applying (dry_run: false, the default) or when prune: true.

Reveal policy: Env values render as *** by default. Pass reveal: true only after the human explicitly asks for plaintext — the agent must not auto-set reveal: true.

envs:sync semantics (application only): Supply exactly one of env_file (local path) or env_content (inline .env text). dry_run: true returns a diff (added, updated, unchanged, removed, optional conflicts) with no API writes; default dry_run: false applies changes. Remote keys missing locally are never deleted unless prune: true (also requires confirm: true). When local and remote values differ, set conflict_policy to overwrite, keep_remote, or abort after asking the human — apply with conflicts and no policy returns COOLIFY_CONFIRM_REQUIRED.

application({ action: "envs:list", uuid: "<app-uuid>" })
application({ action: "envs:sync", uuid: "<app-uuid>", env_file: "./.env", dry_run: true })
application({ action: "envs:sync", uuid: "<app-uuid>", env_content: "API_KEY=EXAMPLE_VALUE\n", confirm: true, conflict_policy: "overwrite" })

💾 Database backups (backup:*)

Configure, list, update, delete, and trigger backup schedules — and inspect execution history — on the existing database tool. No separate backup MCP tool.

Action Purpose
backup:create Create a backup schedule (frequency required; optional S3, retention, backup_now: true)
backup:list List backup schedules for a database
backup:update Update schedule fields (frequency, retention, S3 flags)
backup:delete Remove a schedule — requires confirm: true
backup:now Trigger an immediate backup run
backup:history List executions for a schedule (status, timestamps, size)

Parent identity: All backup actions require the parent database via uuid or name. Schedule-scoped actions (backup:update, backup:delete, backup:now, backup:history) also require scheduled_backup_uuid.

Confirm gates: backup:delete requires confirm: true — otherwise COOLIFY_CONFIRM_REQUIRED. delete_s3 defaults false (config-only delete). When delete_s3: true, deletion still requires confirm: true — purging S3 artifacts is treated as destructive.

Frequency (Pitfall 1): backup:create accepts OpenAPI named presets (every_minute, hourly, daily, weekly, monthly, yearly) or a cron expression. backup:update accepts presets only — passing cron on update returns COOLIFY_VALIDATION_ERROR.

backup:now semantics: Maps to Coolify PATCH with { backup_now: true } on the schedule — no separate trigger endpoint. Requires scheduled_backup_uuid.

Reveal policy: S3-related credentials in backup config responses are masked as *** by default. Pass reveal: true only after the human explicitly asks for plaintext — the agent must not auto-set reveal: true.

Out of scope (v2.x+): Backup execution delete, restore/import from backup, and S3 storage destination CRUD are not available in this release.

database({ action: "backup:list", uuid: "<db-uuid>" })
database({ action: "backup:create", uuid: "<db-uuid>", frequency: "daily", save_s3: false })
database({ action: "backup:now", uuid: "<db-uuid>", scheduled_backup_uuid: "<schedule-uuid>" })
database({ action: "backup:delete", uuid: "<db-uuid>", scheduled_backup_uuid: "<schedule-uuid>", confirm: true })

🔑 private_key — SSH key CRUD

Manage Coolify private keys with PEM content masked by default.

Action Purpose
list / get List or fetch a key (PEM masked unless reveal: true)
create / update Add or rotate SSH keys
delete / delete_preview Remove a key, or preview dependents before delete

🖧 server — server CRUD & validation

Action Purpose
get Server details, domains, and reachability
create / update Register or reconfigure a server
validate Trigger Coolify's server validation check
delete / delete_preview Remove a server, or preview dependents first

📁 project — project CRUD

Action Purpose
list / get Discover or inspect projects
create / update Stand up or rename projects
delete / delete_preview Delete a project, or preview blast radius first

🌍 environment — environment CRUD

Action Purpose
list / get List or inspect environments inside a project
create Add a new environment to a project
delete / delete_preview Remove an environment, or preview dependents first

📚 docs — offline guides

Action Purpose
search Search a bundled, curated Coolify troubleshooting index — not a live web fetch, so it works offline and can't be used as an external fetch vector

🚨 emergency — high-impact ops (gated)

Reach for these only when you mean it — every action below is behind a confirmation gate.

Action Purpose
stop_all Stop every running application, fleet-wide — requires confirm: true
redeploy_project Redeploy every app in a project — requires confirm: true
restart_project Restart every app in a project — requires confirm: true

🗂️ instance — multi-instance registry

Manage named Coolify instances in ~/.coolify-mcp/instances.json. Per-call credential resolution — no cross-instance leakage.

Action Purpose
list List registered instances (tokens masked)
get Fetch one instance by name
add Register a new instance (name, url, token, optional type: "cloud")
update Rotate URL or token for an existing instance
delete Remove an instance — requires confirm: true
set-default Set the default instance for ops without an explicit instance param
import-env Opt-in: copy COOLIFY_URL + COOLIFY_TOKEN from process env into the registry
cloud-info Local Cloud discovery — isCloud, url, source, knownLimits, docs link (no API call)
instance({ action: "add", name: "prod", url: "https://coolify.example.com", token: "<token>" })
instance({ action: "list" })
instance({ action: "cloud-info" })

📜 manifest — local cache

Read/write/sync .coolify/manifest.json — a workspace cache, not source of truth. Remote wins on UUID conflict.

Action Purpose
get Read the local manifest file
upsert Merge projects/servers/resources into the cache
set Replace a manifest section
remove Remove a cached resource entry
clear Wipe the manifest — requires confirm: true
sync Reconcile cache against live Coolify API (optional dry_run, prune with confirm)
diff Non-destructive diff report — always safe to run
manifest({ action: "sync", dry_run: true })
manifest({ action: "diff" })

Note

Best-effort auto-hooks update the manifest after app/service/DB mutations. Stale UUID 404s elsewhere surface _meta.manifestWarning — run manifest({ action: "sync" }) to reconcile.

🧭 setup — guided project wiring

Action Purpose
preflight Check GitHub CLI and workspace prerequisites without changing the project
wire Link an existing workload or provision a greenfield project, with optional domains, env sync, recipe, manifest, and deploy watch steps
resume Continue a paused setup after authentication or another recoverable prerequisite

wire never auto-pushes. The setup flow pauses cleanly when gh authentication is missing and resumes from completed steps.

🎨 Branding (serverInfo.icons)

The MCP server advertises icons in initialize via an embedded PNG data URI (primary) and jsDelivr CDN URLs for mcp-icon-192.png and favicon-32.png. Cursor may still show a letter fallback — see maintainer verify record. Not a Coolify API call.


🛡️ Safety model

Confirmation gate

Destructive emergency actions follow a strict two-step pattern:

  1. Call with confirm omitted or false → you get back a would_affect preview and error code COOLIFY_CONFIRM_REQUIREDnothing is mutated.
  2. Call again with confirm: true → the action actually executes.

Regular app/service/database mutations (start, stop, deploy, …) are not behind this gate — they simply follow Coolify's own API semantics, since they're scoped to one resource rather than your whole fleet.

Environment variables: envs:delete and envs:bulk-update require confirm: true on application, service, and database. envs:sync apply (dry_run: false) and envs:sync with prune: true require confirm: true on application only. dry_run: true sync previews never mutate.

Secret masking

  • Keys matching password, token, secret, private, or env render as *** by default in tool output.
  • Pass reveal: true only when you explicitly need plaintext — for example, to copy an env var into another system. Ask the human first before setting reveal: true on any envs:* call.
  • Log line bodies are not masked. Treat raw logs like you would any other sensitive output: don't paste them into long-lived agent memory or public tickets.

Warning

Registry files (~/.coolify-mcp/instances.json) are written with 0o700 directory and 0o600 file permissions. Tokens are never echoed in tool output unless you explicitly pass reveal: true.


⚠️ Structured errors & retries

Every API failure comes back as a parseable envelope your agent can reason about, instead of a raw stack trace:

{
  "code": "COOLIFY_401",
  "message": "Unauthorized — invalid or expired API token",
  "recoveryHints": [
    "Verify the token in Coolify UI → Keys & Tokens",
    "Ensure the token has the required team permissions"
  ],
  "httpStatus": 401
}
Code Meaning
COOLIFY_401 Invalid or missing token
COOLIFY_404 Resource not found
COOLIFY_422 Validation error
COOLIFY_500 Coolify server error
COOLIFY_NETWORK Connection failed
COOLIFY_TIMEOUT Request timed out
COOLIFY_CONFIRM_REQUIRED Emergency preview — pass confirm: true to proceed
COOLIFY_AMBIGUOUS_MATCH Name matched multiple resources — pick a UUID from the ranked list
COOLIFY_CLOUD_FORBIDDEN Cloud token or team permission issue (HTTP 403)
COOLIFY_CLOUD_UNSUPPORTED Endpoint not available on Coolify Cloud (HTTP 404)

Transient failures (HTTP 429, 5xx, or network errors) retry automatically up to 3 times with exponential backoff (1s → 2s → 4s) before giving up and returning the error to your agent.


💬 Example agent workflows

"Is my Coolify reachable, and what do I have?"

system({ action: "verify" })
system({ action: "infrastructure_overview" })
resource({ action: "list" })

"Find the nginx app, deploy it, then show me the logs."

resource({ action: "find", query: "nginx" })
application({ action: "deploy", uuid: "<uuid>", wait: false })
deployment({ action: "watch", deployment_uuid: "<deployment_uuid>", timeout: 300 })
application({ action: "logs", uuid: "<uuid>" })

"Something feels wrong across the fleet."

diagnose({ action: "scan" })
diagnose({ action: "app", uuid: "<suspect>" })
diagnose({ action: "server", uuid: "<server>" })

"Emergency: stop everything, but let me see the blast radius first."

emergency({ action: "stop_all" })                 // preview — would_affect, no mutation
emergency({ action: "stop_all", confirm: true })  // execute

"Multi-instance: list registered instances and verify each."

instance({ action: "list" })
system({ action: "verify" })

✅ Status today

Package 1.1.0 ships 18 tools and four MCP prompts for Coolify API 4.1.x:

Capability Status
Verify connectivity + infrastructure overview ✅ Shipped
Discovery: resource.list / resource.find ✅ Shipped
Diagnose: app, server, fleet-wide scan + follow-up hints ✅ Shipped
Deploy lifecycle: start/stop/restart, deploy with wait-mode + force rebuild ✅ Shipped
Deployment tracking: list / get / cancel ✅ Shipped
Deployment watch and bounded build logs ✅ Shipped
Application runtime logs, bounded follow, and diagnose.logs ✅ Shipped
Application, service, and database CRUD ✅ Shipped
Dynamic one-click type discovery and recipes ✅ Shipped
Setup wizard and four IDE workflow skills ✅ Shipped
Emergency ops: stop-all, project redeploy/restart, behind confirm gate ✅ Shipped
SSH key CRUD (private_key) with PEM masking ✅ Shipped
Server CRUD + validation (server) ✅ Shipped
Project & environment CRUD (project, environment) ✅ Shipped
Secret masking with explicit reveal opt-in ✅ Shipped
Structured errors, recovery hints, automatic retries ✅ Shipped
npm distribution + install configurator for 15+ clients ✅ Shipped
Multi-instance registry (instance, instances.json) ✅ Shipped
Coolify Cloud path (cloud-info, team-scoped tokens) ✅ Shipped
Local manifest sync (.coolify/manifest.json, auto-hooks) ✅ Shipped
Live UAT harness (npm run uat:live) ✅ Shipped
Capability discovery via system.version ✅ Shipped
Deployment build logs via deployment.logs ✅ Shipped

Capability discovery & build logs: system({ action: "version" }) returns coolifyVersion (replacing the legacy version field), mcpVersion, and a capabilities map of Coolify 4.1.2 feature flags. For app triage + bounded runtime tail in one call, use diagnose({ action: "logs", mode: "full", uuid: "..." }) — check capabilities.diagnose_logs. For deployment build logs, prefer deployment({ action: "logs", deployment_uuid: "..." }) (or application_uuid to resolve the newest deployment). The application.logs path with deployment_uuid still works for back-compat. For runtime log follow, use application({ action: "logs", uuid: "...", follow: true }) — bounded MCP polling until idle or timeout; check capabilities.application_logs_follow via system.version.

Warning

Coolify 4.1.x does not expose stable service or database log endpoints. This server therefore does not claim or register service/database log actions. Use application runtime logs and deployment build logs until compatible upstream APIs are available.


🔮 Coming soon

Future work stays bounded by verifiable upstream and repository constraints:

  • Add service/database logs when compatible Coolify APIs are stable and available.
  • Close tracked REST mappings in docs/COVERAGE.md where they add useful agent workflows.
  • Revisit cross-instance fan-out only with explicit rate-limit and credential-isolation guarantees.

No release date or compatibility promise is attached to these boundaries. Use GitHub Issues for concrete requests.


🛠️ Local development

git clone https://github.com/clezcoding/awesome-coolify.git
cd awesome-coolify
pnpm install
pnpm run build    # tsup → dist/
pnpm test         # vitest
pnpm run dev      # watch mode

Logs go to stderr only — stdout is reserved exclusively for the MCP protocol.

The maintainer publish flow (buildpack --dry-runpublish) is documented in CONTRIBUTING.md.

Note

Maintainers can run live UAT against a real Coolify instance with npm run uat:live. See CONTRIBUTING.md — Live UAT Harness for prerequisites and report output — do not duplicate the runbook here.


🔗 Links

Resource URL
Install configurator clezcoding.github.io/awesome-coolify/install.html
Install landing page clezcoding.github.io/awesome-coolify/
Example MCP JSON docs/mcp.example.json
Brand assets docs/assets/
Coolify coolify.io
MCP specification modelcontextprotocol.io
Issues & feature requests GitHub Issues
Contributing CONTRIBUTING.md
Changelog CHANGELOG.md
Security policy SECURITY.md
License MIT

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One MCP server for every self-hosted Coolify instance you own — deploy, diagnose, and CRUD across your fleet. v3.0 Platform Foundation: multi-instance, Coolify Cloud, branding, local manifest.

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