MCP.so
Sign In

IDE Memory MCP

@prasanna00019

Repository

About IDE Memory MCP

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.

Basic information

Category

Memory & Knowledge

Transports

stdio

Publisher

prasanna00019

Submitted by

Prasanna H

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"
      ]
    }
  }
}

Tools

No tools detected

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

FAQ from IDE Memory MCP

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.

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+.

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

More Memory & Knowledge MCP servers

Memory

modelcontextprotocol

Model Context Protocol Servers

88.1K

Solomd

zhitongblog

A markdown editor — and the bridge to your LLM. Local-first, MIT, ~15 MB. Bundled MCP server lets Claude Code / Codex / Cursor drive your vault directly. 14 AI providers BYOK.

425

Zettelkasten MCP Server

entanglr

A Model Context Protocol (MCP) server that implements the Zettelkasten knowledge management methodology, allowing you to create, link, explore and synthesize atomic notes through Claude and other MCP-compatible clients.

159

MCP server for Obsidian

MarkusPfundstein

MCP server that interacts with Obsidian via the Obsidian rest API community plugin

4.0K

Obsidian MCP Server

cyanheads

Read, write, search, and surgically edit Obsidian vault notes, tags, and frontmatter via MCP. STDIO or Streamable HTTP.

618