ContextMCP

Purpose: Keeping AI agents supplied with up-to-date, indexed documentation from multiple sources for accurate context retrieval.

Inferred · not functionally tested

Audience: developers building AI agents with retrieval-augmented generation

Inferred · not functionally tested

Functions: rag, data_extraction

Inferred · not functionally tested

Interfaces: API: indicated (inferred, not tested) · MCP: indicated (inferred, not tested) · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: Apache-2.0 · platforms: API, WEB · deployment: browser, cli, self_hosted, api_only

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: contextmcp.ai · github.com. These links do not verify the individual claims.

ContextMCP is a RAG, search & retrieval project. Inferred · not functionally tested: It focuses on keeping AI agents supplied with up-to-date, indexed documentation from multiple sources for accurate context retrieval. Inferred · not functionally tested: ContextMCP is an open-source project aimed at developers building AI agents with retrieval-augmented generation. Basis unknown · not verified: The project is open source (Apache-2.0). Basis unknown · not verified: ContextMCP is available on the web, the command line, and API, and it can be self-hosted.

It is developed by Dodo Payments, and it first shipped in 2025. Development happens publicly on GitHub with 58 stars and 32 commits in the last 90 days. Inferred · not functionally tested: Among its 5 catalogued features are documentation indexing, configurable sources, and AST-aware chunking. Inferred · not functionally tested: Catalogued interfaces include an MCP server and a public API.

Summary written by a language model from the project’s public pages.