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Project Memory MCP Server

local only

Project Memory runs on your own machine — the client starts it, so there is no endpoint to ping. 159 installs a week from pypi. Last commit 8 Oct 2026.

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

Installs per day peak 114 · avg 45 · -57% w/w
a month agotoday
159
Installs / week
pypi · project-memory-mcp
0
Stars
0 open issues
8 Oct 2026
Last commit
from GitHub
MIT
License
Python

What the code does

We read the source, 2 d ago · rules 995398eba69f

A tool parameter reaches a dangerous call

A value the model can set ends up inside a file or shell call. That is not a flaw by itself — for a terminal server it is the job — but it is where things go wrong when it is not.

A tool parameter reaches a dangerous call Dankaro.project → memory_module/cli.py:39, Dankaro.project → memory_module/reviews.py:371, Dankaro.project → memory_module/reviews.py:504 и ещё 1
    run=subprocess.run(python_args('memory_module.cli')+['serve','--db',str(path)],input=''.join(json.dumps(r)+'\n' for r in requests),text=True,encoding='utf-8',capture_output=True,timeout=20)
Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

    run=subprocess.run(python_args('memory_module.cli')+['serve','--db',str(path)],input=''.join(json.dumps(r)+'\n' for r in requests),text=True,encoding='utf-8',capture_output=True,timeout=20)
Builds a database query by concatenation [пакет] memory_module/usage.py:347, memory_module/usage.py:355
        insert = 'INSERT INTO usage_records (' + ','.join(columns) + ',recorded_at) VALUES (' + placeholders + ')'

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

A tool parameter here reaches a dangerous call

That is not a flaw by itself — but it is where things go wrong when it is not the job. We re-read this code on every release. Watch it and you hear from us the day another one appears.

Three servers free · no card

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add project-memory -- uvx project-memory-mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "project-memory": {
      "command": "uvx",
      "args": [
        "project-memory-mcp"
      ]
    }
  }
}
~/.codex/config.toml
[mcp_servers.project-memory]
command = "uvx"
args = ["project-memory-mcp"]
.cursor/mcp.json
{
  "mcpServers": {
    "project-memory": {
      "command": "uvx",
      "args": [
        "project-memory-mcp"
      ]
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "project-memory": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "project-memory-mcp"
      ]
    }
  }
}

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Project Memory — questions

Answers built from our own checks of this server.

Why is there no uptime for Project Memory?
Project Memory runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package project-memory-mcp was installed 159 times last week.
How do I connect Project Memory?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It runs locally, so the command pulls project-memory-mcp straight from pypi; nothing to host, nothing to sign up for.
How many people use Project Memory?
The pypi package project-memory-mcp was installed 159 times in the last week. Week over week that is -57%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Project Memory open source?
Yes — it is published under the MIT licence, written in Python and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.