Developer · Local MCP server

Memdocs

Git-native project memory for AI assistants with audit compliance.

What the MCP Registry states

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

Registry name
io.github.silversurfer562/memdocs
Version
2.1.4
Status
Active
Category
developer
Transport
stdio (local process)
Package
PyPI
Published
2025-12-05
Updated
2025-12-05
Publisher
silversurfer562 (GitHub)
Repository
github.com/Smart-AI-Memory/memdocs
Source
Registry API entry

Packages

RegistryPackageVersionTransportEnvironment variables
PyPIruntime: uvxmemdocs2.1.4stdioPROJECT_ROOT, ANTHROPIC_API_KEY (required, secret)

How to connect Memdocs

Memdocs runs locally from a Python package published to PyPI: memdocs version 2.1.4. 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 memdocs. It reads these environment variables: PROJECT_ROOT and ANTHROPIC_API_KEY (required, secret); 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": {
    "memdocs": {
      "command": "uvx",
      "args": [
        "memdocs"
      ],
      "env": {
        "PROJECT_ROOT": "<value>",
        "ANTHROPIC_API_KEY": "<secret>"
      }
    }
  }
}

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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