ContextMCP Documentation Server

Example Use Cases

• 1

  Query comprehensive documentation and API references via MCP.

• 2

  Access indexed and semantically searchable knowledge bases from multiple doc sources.

• 3

  Integrate custom documentation into AI assistant workflows.

Description

ContextMCP enables users to create a searchable knowledge base from various documentation sources, including MDX, Markdown, and OpenAPI specs. It processes documentation by parsing, chunking, embedding with OpenAI, and storing in Pinecone vector database, allowing AI assistants to query the content efficiently via MCP. This facilitates seamless integration of documentation into AI workflows and custom knowledge retrieval.