Nerq found 835 MCP servers for documentation & docs, ranked below by GitHub stars and weighted compliance score across 52 global AI jurisdictions. The top-ranked MCP server for documentation & docs is Context Generator with 315 stars and a trust score of 74/100. MCP servers for generating, managing, and serving technical documentation.
Last updated: May 01, 2026 | 835 servers in this category | Data from Nerq| # | Name | Stars | Trust | Author | License | Description |
|---|---|---|---|---|---|---|
| 1 | Context Generator | 315 | B 74 | https://github.com/context-hub/generator | N/A | |
| 2 | EvilFreelancer/openapi-to-mcp | 7 | B 73 | EvilFreelancer | MIT | |
| 3 | janwilmake/openapi-mcp-server | 876 | B 72 | Unknown | N/A | |
| 4 | GitHub Pages Documentation | 10 | B 72 | https://github.com/tosin2013/documcp | N/A | |
| 5 | Node.js API Documentation | 10 | B 72 | https://github.com/lirantal/mcp-server-nodejs-api-docs | N/A | |
| 6 | python-dependency-manager-companion-mcp-server | 41 | B 72 | KemingHe | N/A | |
| 7 | TWSEMCPServer | 37 | B 72 | twjackysu | N/A | |
| 8 | LLM Code Context | 296 | B 72 | https://github.com/cyberchitta/llm-context.py | N/A | |
| 9 | apappascs/mcp-servers-hub | 313 | B 71 | apappascs | N/A | |
| 10 | MSLearnMCPChatbot | 0 | B 71 | bonaniibm | MIT | |
| 11 | apitap | 77 | B 71 | n1byn1kt | N/A | |
| 12 | io.github.lastmanupinc-hub/axis-toolbox | 0 | B 71 | https://github.com/lastmanupinc-hub/Toolbox | N/A | |
| 13 | Ollqd | 0 | B 71 | guttbuster | Apache-2.0 | |
| 14 | openapi-mcp | 0 | B 71 | wrxck | MIT | |
| 15 | metamcp | 2,001 | B 71 | metatool-ai | N/A | |
| 16 | a-bonus/google-docs-mcp | 314 | B 71 | a-bonus | MIT | |
| 17 | cratedb-mcp | 8 | B 71 | crate | N/A | |
| 18 | aura | 2 | B 71 | trotor | N/A | |
| 19 | Spec Workflow | 3,966 | B 70 | https://github.com/pimzino/spec-workflow-mcp | N/A | |
| 20 | mcp-airflow-documentation | 0 | B 70 | martoc | N/A |
MCP servers for generating, managing, and serving technical documentation. Nerq tracks 835 MCP servers in the documentation & docs category, each assessed against 52 global AI regulations including the EU AI Act, US state AI laws (California SB53, Colorado SB205), UK AI Bill, and more. Compliance scores are weighted by jurisdiction penalty severity — jurisdictions with higher fines (like the EU AI Act at up to €35M) have more impact on the score than voluntary frameworks.
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