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gutsy MCP Server

local only

gutsy runs on your own machine — the client starts it, so there is no endpoint to ping. 1 020 installs a week from pypi. Last commit 7 Oct 2026.

Local gut check before risky agent actions: calibrated safe/intended probabilities, no API calls.

Installs per day peak 714 · avg 34
a month agotoday
1 020
Installs / week
pypi · gutsy-mcp
0
Stars
0 open issues
7 Oct 2026
Last commit
from GitHub
Apache-2.0
License
Python

What the code does

We read the source, 3 d ago · rules ccca72095570

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.

        _server_proc = subprocess.Popen(

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.

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

This one needs environment variables set before it will start: GUTSY_URL (URL of the local gutsy-inference server), GUTSY_INFERENCE_DIR (Directory with models.json; if set, gutsy-mcp starts gutsy-inference itself), GUTSY_PROCEED_MIN (Minimum P(proceed) and P(intended) to recommend proceeding), GUTSY_BLOCK_MIN (Minimum P(block) to recommend blocking). The author declared them in the registry entry; get the values from the project itself.

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gutsy — questions

Answers built from our own checks of this server.

Why is there no uptime for gutsy?
gutsy 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 gutsy-mcp was installed 1 020 times last week.
How do I connect gutsy?
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 gutsy-mcp straight from pypi; nothing to host, nothing to sign up for.
How many people use gutsy?
The pypi package gutsy-mcp was installed 1 020 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 gutsy open source?
Yes — it is published under the Apache-2.0 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.