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by supavec • Search & Retrieval
An MCP server that lets AI assistants fetch embeddings and content from Supavec to enable search and retrieval over user files.
Search and retrieve relevant passages or embeddings from a specific Supavec file by file ID and query.
Enumerate a user's Supavec files (with pagination, metadata, and ordering) to select documents for further processing.
An easy-to-install MCP endpoint to integrate Supavec-based content retrieval into Cursor, Claude, VS Code Copilot, and other MCP-compatible tools.
This server implements a Model Context Protocol (MCP) bridge to Supavec, allowing agents to search files, fetch relevant embeddings, and retrieve content programmatically. It provides ready-made tools like fetch-embeddings and list-user-files, and integrates with MCP-compatible clients such as Cursor, Claude, and VS Code Copilot. Authentication is flexible via command-line API key or SUPAVEC_API_KEY environment variable, and it supports easy one-command setup via npx for quick use.
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