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Chroma MCP Server

@privetin

Repository

Basic information

Category

Databases

Transports

stdio

Author

privetin

About Chroma MCP Server

A Model Context Protocol (MCP) server implementation that provides vector database capabilities through Chroma.

#chroma#vector-database#mcp-server

Chroma MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "chroma": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

Chroma MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Chroma MCP Server?

An MCP server that provides vector database capabilities through Chroma, enabling semantic document search, metadata filtering, and document management with persistent storage. It is designed for developers integrating semantic search into AI applications.

How to use Chroma MCP Server?

Install dependencies with uv venv and uv sync --dev --all-extras, then start the server with uv run chroma. Add the configuration to your Claude Desktop config file to enable the server, then interact via MCP tools like create_document and search_similar.

Key features of Chroma MCP Server

  • Semantic search using Chroma embeddings
  • Metadata filtering on search results
  • Content filtering for additional precision
  • Persistent storage in a local directory
  • Comprehensive error handling with clear messages
  • Automatic retries for transient failures

Use cases of Chroma MCP Server

  • Store and retrieve documents with semantic similarity search
  • Filter search results by metadata fields like year or category
  • Manage a persistent document collection for AI assistants
  • Automate document CRUD operations in MCP-based tools

Frequently asked questions

1

What are the runtime requirements?

Python 3.8+, Chroma 0.4.0+, and MCP SDK 0.1.0+.

2

Where does the data persist?

Data is stored in `src/chroma/data` directory and persists between server restarts.

3

What tools does the server provide?

It provides CRUD tools for documents (`create_document`, `read_document`, `update_document`, `delete_document`, `list_documents`) and a `search_similar` tool for semantic search with optional filters.

4

How do I configure the server for Claude Desktop?

Add a `chroma` entry to your `claude_desktop_config.json` using `uv` with `--directory` pointing to the server’s path and `run chroma` as args.

5

What error messages can I expect?

Common errors include “Document already exists [id=X]”, “Document not found [id=X]”, “Invalid input: Missing document_id or content”, and “Invalid filter”.

Comments

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