What is Ragie Model Context Protocol Server?
The Ragie Model Context Protocol Server implements the Model Context Protocol (MCP) to enable AI models to retrieve information from a Ragie knowledge base. It provides a single tool called "retrieve" that allows querying the knowledge base for relevant information. It is built for developers and AI assistants that need to integrate Ragie’s knowledge retrieval capabilities.
How to use Ragie Model Context Protocol Server?
Install and run with npx, setting the required RAGIE_API_KEY environment variable. Optionally pass --description or --partition command line flags. The server listens on stdio for MCP messages and can be configured in Cursor via a mcp.json file or shell script, or in Claude Desktop via claude_desktop_config.json.
Key features of Ragie Model Context Protocol Server
- Single
retrieve tool for querying the knowledge base.
- Parameters:
query (string), topK (optional, default 8), rerank (optional, default true), recencyBias (optional, default false).
- Returns an array of content chunks with matching text.
- Supports custom tool descriptions via
--description flag.
- Supports partition-scoped queries via
--partition flag.
- Compatible with Cursor and Claude Desktop MCP clients.
Use cases of Ragie Model Context Protocol Server
- Enable AI assistants to search a company knowledge base for answers.
- Provide relevant document snippets to language models during conversations.
- Integrate Ragie retrieval into automated workflows that use MCP-compatible tools.
- Offer context-aware responses in Cursor or Claude Desktop environments.
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