Montycat MCP - Shared Memory for AI Agents MCP Server

by montygovernance Your server? Claim it

local only

Montycat MCP - Shared Memory for AI Agents runs on your own machine — the client starts it, so there is no endpoint to ping. 1 522 installs a week from pypi. Last commit 10 Sep 2026.

Shared, persistent memory for AI agents, with semantic recall and live updates.

1 522

Installs / week

pypi · montycat-mcp

Stars

1 open issues

10 Sep 2026

Last commit

0 releases in 90 days

MIT

License

Python

What the code does

We read the source, 17 h ago · rules 3dff92dd89df

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.

Runs an external command montycat_mcp/bootstrap.py:504, [пакет] montycat_mcp/bootstrap.py:504

        completed = subprocess.run(  # noqa: S603 - our own verified binary

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

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

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.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add montycat-mcp -- uvx montycat-mcp

~/Library/Application Support/Claude/claude_desktop_config.json

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

~/.codex/config.toml

[mcp_servers.montycat-mcp]
command = "uvx"
args = ["montycat-mcp"]

.cursor/mcp.json

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

.vscode/mcp.json

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

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Montycat MCP - Shared Memory for AI Agents — questions

Answers built from our own checks of this server.

Why is there no uptime for Montycat MCP - Shared Memory for AI Agents?

Montycat MCP - Shared Memory for AI Agents 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 montycat-mcp was installed 1 522 times last week.

How do I connect Montycat MCP - Shared Memory for AI Agents?

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 montycat-mcp straight from pypi; nothing to host, nothing to sign up for.

How many people use Montycat MCP - Shared Memory for AI Agents?

The pypi package montycat-mcp was installed 1 522 times in the last week. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.

Is Montycat MCP - Shared Memory for AI Agents open source?

Yes — it is published under the MIT licence, written in Python, 45 stars on GitHub and 1 open issue. The source link is on this page, so you can read exactly what it does with your data before you connect it.