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Chroma MCP Server

Chroma MCP Server

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github.com/djm81Databases25Updated 74w ago

About Chroma MCP Server

Chroma MCP Server is an MCP server for the open-source Chroma embedding database, providing persistent, searchable working memory for AI-assisted development in tools such as Cursor. It lets assistants recall past decisions and chat history from earlier sessions.

Key features

  1. 01Persistent, searchable working memory
  2. 02Automated chat logging with context capture
  3. 03Codebase indexing and semantic code chunking
  4. 04Bidirectional links between discussions and code changes
  5. 05Ephemeral and persistent storage modes

Use cases

  1. 01Recalling earlier decisions across Cursor sessions
  2. 02Logging AI interactions alongside code changes
  3. 03Promoting validated learnings from test failures

MCP support

This project is an MCP server that exposes tools for storing and retrieving development context to MCP clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"chroma_mcp_server": {
"command": "uvx",
"args": [
"chroma-mcp-server"
],
"env": {
"CHROMA_CLIENT_TYPE": "<CHROMA_CLIENT_TYPE>",
"LOG_LEVEL": "<LOG_LEVEL>",
"MCP_LOG_LEVEL": "<MCP_LOG_LEVEL>"
}
}
}
}
Run commanduvx chroma-mcp-server
Environment variables to set
CHROMA_CLIENT_TYPE
LOG_LEVEL
MCP_LOG_LEVEL

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypichroma-mcp-server

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Chroma MCP Server

CI codecov PyPI - Version

A Model Context Protocol (MCP) server integration for Chroma, the open-source embedding database.

Overview

Chroma MCP Server creates a persistent, searchable "working memory" for AI-assisted development:

  • Automated Context Recall: AI assistants can query relevant information from past sessions
  • Developer-Managed Persistence: Store key decisions and insights in ChromaDB via MCP
  • Second Brain Integration: Integrates with IDE workflows to create a unified knowledge hub

Key features:

  • Automated Codebase Indexing: Track and index code changes
  • Automated Chat Logging: Log AI interactions with enhanced context capture (code diffs, tool sequences)
  • Bidirectional Linking: Connect discussions to code changes for tracing feature evolution
  • Semantic Code Chunking: Preserve logical code structures for more meaningful context retrieval
  • Working Memory Tools: MCP commands for capturing and retrieving development context
  • Validation System: Evidence-based validation for code changes and learning promotions
  • Automated Test-Driven Learning: Fully automated workflow from test failure to verified fix and learning promotion. See the Pytest Plugin Usage Guide to integrate this into your projects.

See the Getting Started with your Second Brain guide for more details.

Quick Start

Installation
# Basic installation
pip install chroma-mcp-server

# Full installation with all embedding models
pip install "chroma-mcp-server[full]"
Running
# With in-memory storage (data lost on restart)
chroma-mcp-server --client-type ephemeral

# With persistent storage
chroma-mcp-server --client-type persistent --data-dir ./my_data
Cursor Integration

Add or modify .cursor/mcp.json in your project root:

{
  "mcpServers": {
    "chroma": {
      "command": "uvx",
      "args": [
        "chroma-mcp-server"
      ],
      "env": {
        "CHROMA_CLIENT_TYPE": "persistent",
        "CHROMA_DATA_DIR": "/path/to/your/data",
        "CHROMA_LOG_DIR": "/path/to/your/logs",
        "LOG_LEVEL": "INFO",
        "MCP_LOG_LEVEL": "INFO",
        "MCP_SERVER_LOG_LEVEL": "INFO"
      }
    }
  }
}

Recent Improvements

  • Enhanced Context Capture: Automatically extracts code diffs, tool sequences, and assigns confidence scores
  • Bidirectional Linking: Creates navigable connections between chat discussions and code changes
  • Semantic Code Chunking: Uses logical boundaries (functions, classes) instead of fixed-size chunks
  • Server-Side Timestamp Enforcement: Ensures consistent timestamps across all collections
  • Automatic Collection Creation: Essential collections (e.g., chat_history_v1, codebase_v1) are automatically created on server startup if they don't exist.
  • Enhanced Logging System: Per-execution log files prevent contamination of JSON communication in stdio mode
  • Embedding Function Management: Tools to update collection metadata when changing embedding functions
  • Collection Setup Command: Simplifies creation of multiple collections with consistent configuration
  • Auto-Promote Workflow: Streamlined derived learning promotion with automatic handling of high-confidence entries
  • Smart Defaults: Interactive promotion with intelligent defaults for all fields based on context
  • Low Confidence Warnings: Visual indicators for entries that may need more careful review
  • Automated Test Workflow: Fully automated capture of test failures, monitoring for fixes, and validated learning promotion

Documentation

Comprehensive documentation is available in the docs directory:

License

Chroma MCP Server is licensed under the MIT License with Commons Clause. This means you can:

✅ Allowed:

  • Use Chroma MCP Server for any purpose (personal, commercial, academic)
  • Modify the code
  • Distribute copies
  • Create and sell products built using Chroma MCP Server

❌ Not Allowed:

  • Sell Chroma MCP Server itself
  • Offer Chroma MCP Server as a hosted service
  • Create competing products based on Chroma MCP Server

See the LICENSE.md file for the complete license text.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.