Productivity · Local MCP server

TeamMemory

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

What the MCP Registry states

The entry as published to the official MCP Registry (read 2026-10-04), latest version.

Registry name
io.github.ysydhc/team-memory
Version
0.1.2
Status
Active
Category
productivity
Transport
stdio (local process)
Package
PyPI
Published
2026-02-26
Updated
2026-02-26
Publisher
ysydhc (GitHub)
Repository
github.com/ysydhc/team_memory
Source
Registry API entry

Packages

RegistryPackageVersionTransportEnvironment variables
PyPIteam_memory0.1.2stdioDATABASE_URL (required, secret), TEAM_MEMORY_CONFIG

How to connect TeamMemory

TeamMemory runs locally from a Python package published to PyPI: team_memory version 0.1.2. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Python; clients usually start it with uvx (from uv) or after pip install — the usual command is uvx team_memory. It reads these environment variables: DATABASE_URL (required, secret) and TEAM_MEMORY_CONFIG; set them in the client's configuration for this server.

In the mcpServers JSON format that many desktop and editor MCP clients read, the entry looks like this (placeholders in angle brackets):

{
  "mcpServers": {
    "team-memory": {
      "command": "uvx",
      "args": [
        "team_memory"
      ],
      "env": {
        "DATABASE_URL": "<secret>",
        "TEAM_MEMORY_CONFIG": "<value>"
      }
    }
  }
}

Derived from the registry entry, not tested here. What the server does, and on what terms, is set by its publisher; check its repository or website before giving it access to your accounts or files. How to add an MCP server to an assistant · Before you connect

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