[GH-ISSUE #797] Proposal: add ContextMCP under "MCP AI Agents" #6480

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opened 2026-05-31 13:50:24 -05:00 by GiteaMirror · 1 comment
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Originally created by @aagarwal1012 on GitHub (May 10, 2026).
Original GitHub issue: https://github.com/Shubhamsaboo/awesome-llm-apps/issues/797

Hi @Shubhamsaboo,

I'd like to propose adding ContextMCP to the "MCP AI Agents" section of this list.

ContextMCP is an open-source, self-hosted MCP server that turns documentation (Mintlify, Fumadocs, Docusaurus, plain Markdown, OpenAPI specs) into a searchable knowledge base for AI assistants. It indexes docs into Pinecone using OpenAI embeddings and serves them via the Model Context Protocol and a REST API. Used in production by Dodo Payments.

Two ways I could contribute — happy to do either:

  1. README-only entry — a one-line addition under "♾️ MCP AI Agents" pointing to the upstream repo.
  2. Full runnable template — a small mcp_ai_agents/contextmcp_docs_agent/ folder with a minimal end-to-end example (e.g., a Streamlit UI that queries a deployed ContextMCP Worker via MCP, with requirements.txt + README.md), matching the format of existing entries like browser_mcp_agent and github_mcp_agent.

Which do you prefer? If (2), please confirm the directory naming and any preferences on the example UI before I open the PR.

Thanks!

Originally created by @aagarwal1012 on GitHub (May 10, 2026). Original GitHub issue: https://github.com/Shubhamsaboo/awesome-llm-apps/issues/797 Hi @Shubhamsaboo, I'd like to propose adding **ContextMCP** to the "MCP AI Agents" section of this list. **ContextMCP** is an open-source, self-hosted MCP server that turns documentation (Mintlify, Fumadocs, Docusaurus, plain Markdown, OpenAPI specs) into a searchable knowledge base for AI assistants. It indexes docs into Pinecone using OpenAI embeddings and serves them via the Model Context Protocol and a REST API. Used in production by Dodo Payments. - Repo: https://github.com/dodopayments/context-mcp - Website: https://contextmcp.ai - npm CLI: https://www.npmjs.com/package/contextmcp - License: Apache-2.0 Two ways I could contribute — happy to do either: 1. **README-only entry** — a one-line addition under "♾️ MCP AI Agents" pointing to the upstream repo. 2. **Full runnable template** — a small `mcp_ai_agents/contextmcp_docs_agent/` folder with a minimal end-to-end example (e.g., a Streamlit UI that queries a deployed ContextMCP Worker via MCP, with `requirements.txt` + `README.md`), matching the format of existing entries like `browser_mcp_agent` and `github_mcp_agent`. Which do you prefer? If (2), please confirm the directory naming and any preferences on the example UI before I open the PR. Thanks!
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@awesomekoder commented on GitHub (May 16, 2026):

Thanks for the detailed proposal. We do not accept README-only entries for tools or libraries. If you want to contribute ContextMCP, please submit the full runnable tutorial app option in its own folder, with setup instructions, code, and a practical LLM workflow.

A listing-only PR would not be accepted, but a self-contained tutorial app can be reviewed.

<!-- gh-comment-id:4467943905 --> @awesomekoder commented on GitHub (May 16, 2026): Thanks for the detailed proposal. We do not accept README-only entries for tools or libraries. If you want to contribute ContextMCP, please submit the full runnable tutorial app option in its own folder, with setup instructions, code, and a practical LLM workflow. A listing-only PR would not be accepted, but a self-contained tutorial app can be reviewed.
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Reference: github-starred/awesome-llm-apps#6480