mcpbeat

TeamMemory MCP Server

io.github.ysydhc/team-memory
local only

TeamMemory runs on your own machine — the client starts it, so there is no endpoint to ping. 41 installs a week from pypi. Last commit 18 Jun 2026.

Team experience database - let AI accumulate, retrieve and apply team knowledge across chats.

Installs per day peak 33 · avg 12 · -64% w/w
a month agotoday
41
Installs / week
pypi · team_memory
1
Stars
0 open issues
18 Jun 2026
Last commit
0 releases in 90 days
MIT
License
Python

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 team-memory -- uvx team_memory
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "team-memory": {
      "args": [
        "team_memory"
      ],
      "command": "uvx"
    }
  }
}
~/.codex/config.toml
[mcp_servers.team-memory]
command = "uvx"
args = ["team_memory"]
.cursor/mcp.json
{
  "mcpServers": {
    "team-memory": {
      "args": [
        "team_memory"
      ],
      "command": "uvx"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "team-memory": {
      "args": [
        "team_memory"
      ],
      "command": "uvx"
    }
  }
}

TeamMemory — questions

Answers built from our own checks of this server.

Why is there no uptime for TeamMemory?
TeamMemory 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 team_memory was installed 41 times last week.
How do I connect TeamMemory?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It runs locally, so the command pulls team_memory straight from pypi; nothing to host, nothing to sign up for.
How many people use TeamMemory?
The pypi package team_memory was installed 41 times in the last week. Week over week that is -64%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is TeamMemory open source?
Yes — it is published under the MIT licence, written in Python and 1 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.