Trove Local Search MCP Server

Example Use Cases

• 1

  Efficient semantic search over diverse local and cloud data sources without scanning files individually.

• 2

  Reduce token usage by querying a pre-built index instead of raw file content.

• 3

  A local, privacy-focused search solution with AI-powered answers and multiple embedding options.

Description

Trove is a local-first search tool that indexes content from various sources like local files, GitHub, Notion, Slack, Figma, and more, allowing fast semantic search without cloud dependencies. It provides an MCP server interface to efficiently query a pre-built index, drastically reducing token usage for AI agents. Trove supports multiple embedding methods and offers a desktop app, CLI, and plugin-based connectors for extensibility.