I am an independent AI engineer and builder based in Algiers, Algeria, focused on MCP servers, AI agent orchestration, and workflow automation systems.
- Currently building GoT-MCP and MCP Hub.
- Exploring multi-agent systems with CrewAI, LangChain, and custom LLM pipelines.
- Building AI-powered administrative automation for Algerian institutional workflows.
- Interested in GEO/SEO intelligence, domain research, and niche market automation.
- Contact: contact@abderraouf-yt.info
| Project | Description | Stack |
|---|---|---|
| skill7 | Universal MCP server for AI development skills across major coding environments | JavaScript MCP |
| got-mcp | Graph of Thoughts MCP server for bounded, auditable agent reasoning | TypeScript MCP |
| mcp-hub | Self-hosted dashboard for managing and sharing MCP server configurations | Django Python |
| universal-mcp-bridge | Configuration manager for the MCP ecosystem | TypeScript |
| ComplianceGather | Automated SOC 2 compliance evidence collection for startups | Python FastAPI |
| repo-readiness-auditor | Audits repositories for structure, documentation, and security readiness | Shell |
| Repo | Focus |
|---|---|
| skill7 | Universal MCP server for AI development workflows |
| got-mcp | Graph of Thoughts reasoning server for AI agents |
| mcp-hub | Self-hosted MCP management dashboard |
| universal-mcp-bridge | MCP ecosystem configuration manager |
| Repo | Focus |
|---|---|
| repo-readiness-auditor | GitHub readiness and security auditing |
| github-best-practices | GitHub workflows, security, and automation guidance |
| github-pr-updater | PR branch update automation via GitHub REST API |
| Build-Data-libs | AI and SEO workflow automation pipeline |
| Repo | Focus |
|---|---|
| ComplianceGather | SOC 2 compliance evidence collection |
| file-renamer-gui | Desktop GUI for batch file renaming |
| ghosttrack_gui | Python GUI utility |
| Repo | Focus |
|---|---|
| Niche2Gig | Niche research to freelance opportunity workflow |
| portfolio | Personal portfolio website |
- Graph of Thought reasoning architectures.
- Multi-agent orchestration with CrewAI and LangChain.
- Docker-based self-hosted AI infrastructure.
- GEO/SEO intelligence for the Algerian market.
- Administrative process automation for Algerian institutions.
GEO (Generative Engine Optimization) is the discipline of making your brand visible and citable inside ChatGPT, Perplexity, Google AI Overviews, and every AI assistant your customers are already using.
I run scored, 6-dimension GEO audits and deliver ready-to-deploy fix files — not a PDF of recommendations, but the actual llms.txt, robots.txt, and schema code your developer pastes and ships the same day.
| Tier | Service | Deliverable | Timeline |
|---|---|---|---|
| 1 | GEO Quick Check | Score across 6 dimensions + top 3 priority fixes | 24 hrs |
| 2 | Full GEO Audit | Scored report + llms.txt + robots.txt + Schema JSON-LD + 90-day plan + strategy call |
5 days |
| 3 | Monthly GEO Retainer | Ongoing citation monitoring, schema evolution, quarterly re-score | Monthly |
The 6 audit dimensions:
| Dimension | Weight | What it measures |
|---|---|---|
| AI Citability | 25% | Can AI extract a self-contained, citable fact from each key page? |
| Brand Authority | 20% | Wikipedia, Wikidata, LinkedIn entity verification |
| Content Quality (E-E-A-T) | 20% | Real authorship, expertise signals, experience markers |
| Technical Foundations | 15% | SSR vs JS-rendered — AI crawlers miss client-side content entirely |
| Structured Data | 10% | Schema.org markup presence and correctness |
| Platform Optimization | 10% | Reddit, YouTube, and AI training data source visibility |
Who this is for:
Benchmark scores on publicly audited sites:


