Chroma MCP Server - Vector Database Integration for LLM Applications
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<p align="center"> <a href="https://trychroma.com"><img src="https://user-images.githubusercontent.com/891664/227103090-6624bf7d-9524-4e05-9d2c-c28d5d451481.png" alt="Chroma logo"></a> </p> <p align="center"> <b>Chroma - the open-source embedding database</b>. <br /> The fastest way to build Python or JavaScript LLM apps with memory! </p> <p align="center"> <a href="https://discord.gg/MMeYNTmh3x" target="_blank"> <img src="https://img.shields.io/discord/1073293645303795742?cacheSeconds=3600" alt="Discord"> </a> | <a href="https://github.com/chroma-core/chroma/blob/master/LICENSE" target="_blank"> <img src="https://img.shields.io/static/v1?label=license&message=Apache 2.0&color=white" alt="License"> </a> | <a href="https://docs.trychroma.com/" target="_blank"> Docs </a> | <a href="https://www.trychroma.com/" target="_blank"> Homepage </a> </p> # Chroma MCP Server [](https://smithery.ai/server/@chroma-core/chroma-mcp) [The Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction) is an open protocol designed for effortless integration between LLM applications and external data sources or tools, offering a standardized framework to seamlessly provide LLMs with the context they require. This server provides data retrieval capabilities powered by Chroma, enabling AI models to create collections over generated data and user inputs, and retrieve that data using vector search, full text search, metadata filtering, and more. This is a MCP server for self-hosting your access to Chroma. If you are looking for [Package Search](https://www.trychroma.com/package-search) you can find the repository for that [here](https://github.com/chroma-core/package-search). ## Features - **Flexible Client Types** - Ephemeral (in-memory) for testing and development - Persistent for file-based storage - HTTP client for self-hosted Chroma instance…
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