Dev Tools & GitMCP RegistrypypiB · 71

Project Memory MCP server

Name: Project Memory
Author: Dankaro-projects

io.github.Dankaro-projects · Updated 1mo ago

Local decisions, evidence, outcomes and reviewed lessons with bounded retrieval and an HTML viewer.

At a glance

Project Memory is an MCP server in the Dev Tools & Git category. It runs locally over stdio via `uvx project-memory-mcp`, and declares no required credentials. It scores B (71/100) on the MCP Skills Hub health score as of Oct 28, 2026.

Source 0

One-click install

VS Code VS Code Insiders Cursor

Opens your editor and pre-fills the config. Your editor will ask before adding it.

How to install Project Memory in your AI client

Setup for Claude Code, Claude Desktop, Cursor, Codex, Windsurf, Cline and VS Code — copy-paste ready.

How to install Project Memory in Claude CodeAnthropic's agentic CLI

Add the server

bash

claude mcp add project-memory -- uvx project-memory-mcp

2
Verify it's connected
bash
```
claude mcp list
```
Sharing it with your team?
Add `--scope project` to write it to .mcp.json in the repository root, which you can commit (with the secrets left as environment variables).
Use it in a session
Ask Claude to use the tools this server exposes. It discovers them automatically.

How to install Project Memory in Claude DesktopDesktop app (MCP config)

Open your MCP config
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json · Windows: %APPDATA%\Claude\claude_desktop_config.json

Add this server

json

{
  "mcpServers": {
    "project-memory": {
      "command": "uvx",
      "args": [
        "project-memory-mcp"
      ]
    }
  }
}

Restart Claude Desktop
The tools appear under the 🔌 menu once the app reloads.

How to install Project Memory in CursorAI-first code editor

Create / edit .cursor/mcp.json in your project

json

{
  "mcpServers": {
    "project-memory": {
      "command": "uvx",
      "args": [
        "project-memory-mcp"
      ]
    }
  }
}

Enable it
Cursor Settings → MCP → toggle the server on. Tools become available to the Composer/Agent.

How to install Project Memory in Codex CLIOpenAI coding agent

Add to ~/.codex/config.toml

toml

[mcp_servers.project-memory]
command = "uvx"
args = ["project-memory-mcp"]

Run Codex
Codex loads MCP servers from config.toml on startup and exposes their tools to the agent.

How to install Project Memory in WindsurfCodeium's agentic IDE

Edit ~/.codeium/windsurf/mcp_config.json

json

{
  "mcpServers": {
    "project-memory": {
      "command": "uvx",
      "args": [
        "project-memory-mcp"
      ]
    }
  }
}

Reload
Windsurf → Cascade → refresh MCP servers. Cascade can now call the tools.

How to install Project Memory in ClineVS Code autonomous agent

Open Cline → MCP Servers → Configure
Adds to cline_mcp_settings.json.

Add the server

json

{
  "mcpServers": {
    "project-memory": {
      "command": "uvx",
      "args": [
        "project-memory-mcp"
      ]
    }
  }
}

How to install Project Memory in VS CodeCopilot / MCP support

Create .vscode/mcp.json

json

{
  "servers": {
    "project-memory": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "project-memory-mcp"
      ]
    }
  }
}

Start it
VS Code shows a ▶ Start action above the server entry. Agent mode (Copilot Chat) can then use the tools.

What tools does Project Memory expose?

This server runs as a local package. We only query remote servers for their tool list — asking this one would mean executing it, so its tools are listed in the documentation below.

What the code can do

Source analysis currently covers npm packages only. This server ships as a Python package, which needs a different parser.

Before you install

Signals gathered from the source repo and package registry — not a safety verdict.

What it can reach

Runs code on your machine — Executes as a local process with your user's permissions, including filesystem access.
Downloads at launch — The package is fetched from its registry each run unless you pin a version.

Last commit 20 days ago — Actively maintained.
Repository created 1 month ago — Very new project with little track record yet.
0 GitHub stars — Very little community usage so far.

Client compatibility

Claude Code: NativeClaude Desktop: NativeCursor: NativeCodex CLI: NativeWindsurf: NativeCline: NativeVS Code: Native

Health score

B · 71

Maintenance, adoption, transparency and packaging — not a safety audit. How this is calculated

Maintenance30%100%
Last commit 20 days ago.
Adoption20%0%
0 stars.
Transparency20%75%
3/4: ✓ public source repo, ✓ declared license, ✓ documentation, ✗ discoverable tool list.
Provenance15%75%
Links to its own repository; package linkage unverified.
Packaging15%100%
Publishes a pinned version (0.5.0b9).

Documentation

Full README

Project Memory

Project Memory keeps the plan, the evidence, the decisions, the outcomes and the accepted lessons of one project in a local SQLite database. Your assistant reads and writes those records through three MCP tools. You follow the same records in a local control panel, which is read only, and you decide in the chat what is approved, accepted and merged.

It works for a software product, a consulting engagement and a workflow automation built in n8n. Work items can be code, documents, deliverables or exported workflows.

Public beta. Python 3.11 or newer is required. The runtime uses only the Python standard library. There is no telemetry, no hosted database and no account. Agent checks and delegated work run through the Codex or Claude Code CLI that you already have installed, and they consume that account's usage.

Install

Install uv, then run this inside the project you want to remember:

uvx project-memory-mcp@0.6.0b16 setup --client codex --trust

For Claude Code, replace --client codex with --client claude. Setup preserves existing records and settings, connects the MCP server and the lifecycle hooks, and opens the control panel. --trust approves the project integration in that client; omit it to approve the connection yourself. Start a new assistant session afterwards. Add --no-view for a headless installation.

For a permanent command:

uv tool install project-memory-mcp==0.6.0b16
project-memory doctor
project-memory view

To install the published wheel directly from GitHub instead of PyPI:

uvx --from https://github.com/Dankaro-projects/project-memory/releases/download/v0.6.0b16/project_memory_mcp-0.6.0b16-py3-none-any.whl project-memory setup --client claude --trust

Other local MCP clients use setup --client mcp and the stdio server. Setup and lifecycle covers client configuration, the plugins, upgrades, backups and removal.

Start a project

Excerpt — the full document is on GitHub.

Alternatives to Project Memory

Maintain Project Memory? Add a badge to your README

Shows its health grade, and links readers to install steps for every client.

markdown

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