arabold/docs-mcp-server
Grounded Docs MCP Server: Open-Source Alternative to Context7, Nia, and Ref.Tools
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
5 releases in the last 90 days, the latest 4 days ago, with 19 contributors on GitHub.
Gained 20% fewer stars in the last 90 days than in the 90 days before.
Use Cases & Benefits
- Provides a local server that indexes and serves up-to-date, version-aware documentation to AI coding assistants via the Model Context Protocol.
- Ensures AI-generated code is accurate and current by grounding responses in official, version-specific documentation from multiple sources.
- Use for integrating fresh, precise library documentation into AI coding workflows to reduce hallucinations and stale knowledge.
- Use for managing and searching documentation locally with a web interface or CLI for privacy-conscious development environments.
- Use for embedding documentation indexing directly into AI assistants for seamless, real-time access without separate server processes.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
MIT
Permissive: commercial use, modification and redistribution are allowed with attribution.
Community files
- README: present
- Contributing guide: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
AI coding assistants often struggle with outdated documentation and hallucinations. The Docs MCP Server solves this by providing a personal, always-current knowledge base for your AI. It indexes 3rd party documentation from various sources (websites, GitHub, npm, PyPI, local files) and offers powerful, version-aware search tools via the Model Context Protocol (MCP).
This enables your AI agent to access the latest official documentation, dramatically improving the quality and reliability of generated code and integration details. It's free, open-source, runs locally for privacy, and integrates seamlessly into your development workflow.
LLM-assisted coding promises speed and efficiency, but often falls short due to:
Docs MCP Server solves these problems by:
What is semantic chunking?
Semantic chunking splits documentation into meaningful sections based on structure—like headings, code blocks, and tables—rather than arbitrary text size. Docs MCP Server preserves logical boundaries, keeps code and tables intact, and removes navigation clutter from HTML docs. This ensures LLMs receive coherent, context-rich information for more accurate and relevant answers.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
196+26
Open issues
72+15
Compared with peers in LLM
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| thedotmack/claude-mem | 113.6K | +8.8K | 35 | today |
| NVIDIA/auto-ontology | 7.5K | +5.6K | 37 | — |
| HKUDS/DeepTutor | 55.5K | +5.5K | 65 | 5 days ago |
| affaan-m/ECC | 297.9K | +5.2K | 63 | 35 days ago |
| DietrichGebert/ponytail | 185.3K | +5.1K | 60 | 7 days ago |
| arabold/docs-mcp-server | 1.8K | — | 60 | 4 days ago |
| Category median | 113.6K | +5.5K | 60 | — |
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