Tribal - Knowledge Service
by MCP-Mirror
Tribal is an MCP server implementation for error knowledge tracking and retrieval. It provides both REST API and native MCP interfaces for integration with tools like Claude Code and Cline.
Last updated: N/A
What is Tribal - Knowledge Service?
Tribal is an MCP server designed to help Claude remember and learn from programming errors by storing, retrieving, and searching for similar errors and solutions.
How to use Tribal - Knowledge Service?
Tribal can be installed using uv package manager. It integrates with Claude through MCP, allowing Claude to store and retrieve error information. It can be run using the tribal command or through Python modules. Configuration is done via environment variables.
Key features of Tribal - Knowledge Service
Store and retrieve error records with full context
Vector similarity search using ChromaDB
REST API (FastAPI) and native MCP interfaces
JWT authentication with API keys
Local storage (ChromaDB) and AWS integration
Docker-compose deployment
CLI client integration
Use cases of Tribal - Knowledge Service
Claude Code integration for error tracking and resolution
Building a knowledge base of programming errors and solutions
Semantic similarity search for identifying similar errors
Automated error tracking and solution retrieval in coding sessions
FAQ from Tribal - Knowledge Service
How do I install Tribal?
How do I install Tribal?
Use the uv pip install . command in the project root directory.
How do I integrate Tribal with Claude?
How do I integrate Tribal with Claude?
Use the claude mcp add tribal --launch "tribal" command or configure the MCP server URL.
What is ChromaDB used for?
What is ChromaDB used for?
ChromaDB is used for storing error records and performing vector similarity searches.
How do I run the Tribal server?
How do I run the Tribal server?
Use the tribal command or run the Python modules directly.
What environment variables can I configure?
What environment variables can I configure?
You can configure variables like PERSIST_DIRECTORY, API_KEY, MCP_API_URL, and AWS credentials.