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Tribal Knowledge Service

by agentience
CLAUDE.md2.85 kB
# Tribal - CLAUDE.md ## Build/Lint/Test Commands - Setup: `uv pip install -e .` - Install package in development mode - Install dependencies: `uv pip install -r requirements.txt` - Install dev dependencies: `uv pip install -r requirements-dev.txt` - Create/update venv: `uv venv` - Run server: `tribal` or `python -m mcp_server_tribal.mcp_app` - Lint: `ruff check .` - Type check: `mypy .` - Run tests: `pytest` - Run single test: `pytest tests/path_to_test.py::test_name` ## MCP Server Notes ### Docker Configuration - Docker container name: `tribal` - Docker exposed port: 8000 (mapped to internal port 5000) - Docker image name: `tribal-mcp` - Current state: Running in standard mode ### FastMCP Version Information - **Server**: Using FastMCP 1.3.0+ - Modern version with improved API - Supports the `mcp.run(transport='stdio')` interface for stdio MCPs - No need for the `@mcp.handle_execution` decorator anymore ### Claude Integration - Claude Code CLI: Configure via `claude mcp add tribal tribal` - For global installation: `claude mcp add --scope global tribal tribal` - Server runs on demand when Claude needs it (stdio protocol) ## Code Style Guidelines - **Framework**: FastAPI for REST API development - **Imports**: Group imports (stdlib, 3rd-party, local) with blank lines between groups - **Formatting**: Black for code formatting, line length 88 - **Types**: Use type annotations for all function definitions - **Naming**: Snake_case for variables/functions, PascalCase for classes - **Error Handling**: Use explicit exception handling with appropriate status codes - **Documentation**: All public APIs should have docstrings in Google format - **Structure**: Organize code into models, services, api, and utils modules ## Editor Config - Use 4 spaces for indentation - UTF-8 encoding for all files ## MCP Integration Instructions ### Error Tracking Integration Claude should automatically load and use the MCP integration for tracking errors and solutions. At the start of each session, Claude should: 1. Import the MCP plugin: ```python import sys sys.path.append('/path/to/directory/containing/script') # Adjust path as needed import claude_mcp_plugin ``` 2. When encountering an error: - Track the error using `claude_mcp_plugin.mcp_track_error(error_text, code_snippet, task_description)` - Look for similar errors automatically 3. After providing a solution that fixed an error: - Store the solution using: ```python claude_mcp_plugin.mcp_store_solution( solution_description="Brief description", solution_explanation="Detailed explanation of why this works", language="python", # or js, rust, etc. framework="fastapi", # optional code_fix="fixed code", # optional references=["https://docs.example.com"] # optional ) ```

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