Inkeep is a Search MCP server that lets Claude Code, Cursor, Windsurf and any MCP-compatible AI agent rAG search over your documentation and content. Install in 1 minute with mcpizy install inkeep.
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RAG search over your documentation and content. AI-powered knowledge base.
mcpizy install inkeeppip install inkeep-mcpGoogle Search API for structured results
Privacy-first web search engine
Full-text and semantic search engine. Lightning fast, typo-tolerant search with filtering and faceting.
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If Inkeep doesn't fit your stack, these Search MCP servers solve similar problems.
The Inkeep MCP server is an Search Model Context Protocol server that lets Claude Code, Cursor, Windsurf, VS Code with Copilot, and other MCP-compatible AI agents rAG search over your documentation and content. It exposes Inkeep's capabilities as tools the AI can call directly from your editor or CLI.
The fastest way is the MCPizy CLI: run `mcpizy install inkeep` and MCPizy will add the server to your `.claude.json` automatically. You can also install it manually by adding an entry under `mcpServers` in `.claude.json` with the command `pip install inkeep-mcp` and restarting Claude Code.
Yes. The Inkeep MCP server is free and open source (see the GitHub repository linked on this page). You may still need a Inkeep account or API key to connect the server to the underlying service, but the MCP layer itself has no MCPizy subscription cost.
Yes. Any MCP-compatible client works — including Claude Code, Claude Desktop, Cursor (via `.cursor/mcp.json`), Windsurf, VS Code with Copilot Chat, and custom agents built on the MCP SDK. The same install command targets all of them; only the config file path differs.
Once installed, your AI agent can rAG search over your documentation and content directly inside your conversation. Typical use cases include asking Claude Code or Cursor to run Inkeep operations, inspect results, chain Inkeep with other MCP servers (see our Workflow Recipes), and automate repetitive search tasks without leaving your editor.