| name | do-memory-mcp |
| description | Use and troubleshoot the Memory MCP server for episodic memory retrieval and pattern analysis. Use when working with MCP server tools, validating the MCP implementation, or debugging MCP server issues. |
Memory MCP Server
Interacts with and troubleshoot the Memory Model Context Protocol (MCP) server for the self-learning memory system.
Quick Reference
When to Use
- Starting or configuring the do-memory-mcp server
- Using MCP tools for memory retrieval and pattern analysis
- Validating the MCP server implementation
- Debugging MCP server issues
- Testing MCP tools using the MCP inspector
- Understanding MCP configuration and environment variables
MCP Server Overview
The do-memory-mcp server exposes episodic memory functionality through the Model Context Protocol:
- Query past experiences and learned patterns
- Analyze successful strategies from historical episodes
- Perform advanced statistical and predictive analysis
- Monitor server health and metrics
- Note:
execute_agent_code is unavailable / fail-closed (WASM sandbox removed; no working execution backend)
Location: ./target/release/do-memory-mcp-server
Configuration: .mcp.json
Transport: stdio (Standard Input/Output)
Available MCP Tools
| Tool | Purpose |
|---|
query_memory | Query episodic memory for relevant past experiences |
analyze_patterns | Analyze patterns from past episodes |
advanced_pattern_analysis | Statistical analysis, predictive modeling |
execute_agent_code | Unavailable / fail-closed (WASM sandbox removed) |
health_check | Check server health status |
get_metrics | Get comprehensive monitoring metrics |
See tools.md for detailed tool documentation and best-practices.md for usage guidelines.
Starting the Server
cargo build --release --bin do-memory-mcp-server
export TURSO_DATABASE_URL="file:./data/memory.db"
./target/release/do-memory-mcp-server
npx -y @modelcontextprotocol/inspector ./target/release/do-memory-mcp-server
See configuration.md for full environment setup and validation.md for MCP Inspector workflow.