Contextual MCP Server

Example Use Cases

• 1

  Access and search up-to-date documentation and return answers grounded in source documents with citations.

• 2

  Integrate RAG capabilities into developer tools like Cursor IDE or desktop assistants like Claude Desktop.

• 3

  Maintain conversational context across follow-up queries and surface relevant passages from a specialized knowledge base.

Description

This repository implements an MCP (Model Context Protocol) server that routes client queries to a Contextual AI RAG agent, retrieves relevant documentation, and returns grounded responses with citations. It supports integration with MCP-compatible clients (e.g., Cursor IDE, Claude Desktop) using stdio transport and provides tools for query processing, intelligent retrieval, and maintaining conversation context. The server is configurable with a Contextual AI API key and agent ID and can be extended with additional tools for multi-agent setups or document-specific agents.