Tribal is an MCP server implementation for error knowledge tracking and retrieval, providing both REST API and native MCP interfaces for integration with tools like Claude Code and Cline. Developed by Troy Molander at Agentience.ai, it uses ChromaDB for vector similarity search to help AI assistants remember and learn from programming errors, storing error contexts with solutions and finding similar errors via semantic search. The server features JWT authentication, local and cloud storage options, and Docker deployment capabilities, making it ideal for development teams wanting to build a shared knowledge base of programming errors and solutions.
Create new error record. This action needs error details in the request body.
Retrieve error by UUID. Requires the UUID of the error as a parameter.
Modify existing error. Requires the UUID of the error and updated details in the request body.
Remove error record. Requires the UUID of the error to be deleted.
Find errors by criteria. You can specify parameters for the search.
Semantic similarity search for errors. Requires a query to find similar errors.
Obtain JWT token for authentication. This action requires necessary credentials.
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