heimdall-mcp-server

Heimdall MCP Server provides long-term memory for AI coding assistants. It benefits developers and operations teams by maintaining context across sessions. It connects to Claude-based agents and integrates with existing development workflows.

[{"step":"Define a clear label for your context (e.g., 'project_config_v1'). Use concise, descriptive names like 'api_endpoints_2024' or 'debugging_steps_issue_123'.","tip":"Labels should be unique and avoid spaces or special characters. Prefix with a domain like 'frontend_' or 'backend_' for better organization."},{"step":"Store context using the heimdall-mcp-server command: 'Store the following context with label [LABEL]: [CONTENT]'. Include all relevant details like versions, configurations, or troubleshooting steps.","tip":"For large contexts (e.g., entire project configs), break them into smaller chunks and store them under related labels (e.g., 'frontend_deps', 'backend_deps')."},{"step":"Retrieve context in future sessions using: 'Retrieve the context labeled [LABEL]'. The server will return the stored data in a structured format.","tip":"Use the 'list' command to see all available labels if you forget the exact name. Example: 'List all stored context labels'."},{"step":"Update context by reusing the same label with new content. The server will overwrite the previous entry, ensuring you always have the latest information.","tip":"Add a 'last_updated' timestamp and brief notes to track changes over time. Example: 'Added axios for API calls; removed deprecated request library'."},{"step":"Integrate with your workflow by automating context storage. For example, use a pre-commit hook to store the latest project state before pushing changes.","tip":"Combine with CI/CD tools like GitHub Actions to ensure context is stored alongside code changes. Example: 'Store context with label project_state_after_commit_[SHA]'."}]