Module server 

MCP server for memory integration

This module provides the MCP (Model Context Protocol) server that integrates the self-learning memory system with memory queries and pattern analysis.

Features

• Tool definitions for memory queries and pattern analysis
• Progressive tool disclosure based on usage patterns
• Integration with SelfLearningMemory system
• Execution statistics and monitoring

Example

use do_memory_mcp::server::MemoryMCPServer;
use do_memory_mcp::types::SandboxConfig;
use do_memory_core::SelfLearningMemory;
use std::sync::Arc;

#[tokio::main]
async fn main() -> anyhow::Result<()> {
    let memory = Arc::new(SelfLearningMemory::new());
    let server = MemoryMCPServer::new(SandboxConfig::default(), memory).await?;

    // List available tools
    let tools = server.list_tools().await;
    println!("Available tools: {}", tools.len());

    Ok(())
}

Modules

audit

Audit logging module

cache_warming

This module contains cache warming configuration and methods for pre-loading episodes, patterns, and query patterns to improve initial query performance.

rate_limiter

Rate limiter for MCP server

tool_definitions

Basic tool definitions for the MCP server

tool_definitions_extended

Extended tool definitions for episodes and batch operations.

tools

This module contains all the tool execution methods for the MemoryMCPServer, organized into focused submodules for maintainability.

Structs

MemoryMCPServer

MCP server for memory integration