Integrates with Codecov for code coverage reporting to track test coverage metrics
Provides CI workflow integration via GitHub Actions to run tests and validate the MCP server
Provides persistent storage capabilities for maintaining data across server restarts
Publishes the MCP server package to PyPI, enabling installation via pip
Utilizes Shields.io to display version and build status badges in the documentation
Chroma MCP Server
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 Getting Started with your Second Brain guide for more details.
Quick Start
Installation
Running
Cursor Integration
Add or modify .cursor/mcp.json
in your project root:
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
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:
Main Documentation - Complete guide to installation, configuration, and usage
Getting Started - Detailed setup instructions
Developer Guide - For contributors and developers
Server Logging - Details on the improved logging system
Enhanced Context Capture - Details on code diff extraction and tool sequencing
Semantic Code Chunking - Logic-preserving code chunking for meaningful retrieval
Automated Chat Logging - Enriched chat history with bidirectional linking
Automated Test Workflow - Test-driven learning with automatic validation
API Reference - Available MCP tools and parameters
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.
This server cannot be installed
hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
A Model Context Protocol server integration that creates a persistent, searchable working memory for AI-assisted development by enabling automated context recall and knowledge persistence in Chroma, the open-source embedding database.
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