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IDE Memory MCP Server

@prasanna00019

Repository

Basic information

Category

Memory & Knowledge

Transports

stdio

Author

prasanna00019

Submitted by

Prasanna H

About IDE Memory MCP Server

IDE Memory MCP gives AI coding agents a persistent memory layer that works across any IDE supporting the Model Context Protocol. Write project context once — the AI remembers it everywhere.

IDE Memory MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "IDE-Memory-MCP": {
      "command": "uv",
      "args": [
        "pip",
        "install",
        "ide-memory-mcp"
      ]
    }
  }
}

IDE Memory MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is IDE Memory MCP?

Cross‑IDE persistent memory for AI coding agents. It remembers project context—architecture, decisions, progress—across any IDE that supports the Model Context Protocol (Cursor, VS Code, Windsurf, Claude Desktop). Built for developers who use AI assistants and want to stop repeating themselves.

How to use IDE Memory MCP?

Install the package with pip install ide-memory-mcp (or uv pip install ide-memory-mcp). Run ide-memory-mcp setup to auto‑configure your IDEs, then restart your IDE. Manual configuration is also available via IDE‑specific JSON files.

Key features of IDE Memory MCP

  • Cross‑IDE memory persistence across multiple MCP‑compatible IDEs
  • Context‑optimized reads that return a compact summary table
  • Smart warnings for stale, oversized, or old memory sections
  • Built‑in agent prompts for session start, bootstrap, and updates
  • Section‑based storage: overview, decisions, active_context, progress
  • Append mode for incremental updates without overwriting

Use cases of IDE Memory MCP

  • Start a fresh AI conversation and instantly recall project context
  • Onboard an AI agent to an existing project by bootstrapping memory
  • Track ongoing work and decisions across multiple IDEs
  • Automatically prune stale memory to keep the context window efficient

Frequently asked questions

1

Where is memory data stored?

All memory is stored as local markdown files in `~/.ide-memory/projects/`. No database or cloud service is required; data never leaves your machine.

2

How do I install IDE Memory MCP?

Install with `pip install ide-memory-mcp` or `uv pip install ide-memory-mcp`. The server requires Python 3.11+.

3

How does IDE Memory MCP handle stale memory?

It automatically detects sections not updated for >7 days (stale), sections exceeding 10k characters (large), and sections older than 30 days (pr

Comments

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