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Gutsy MCP Server

by Kouhxp
Developer ToolsModerate5.0MCP RegistryLocal
Free

Server data from the Official MCP Registry

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

About

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

Security Report

5.0
Moderate5.0Moderate Risk

Valid MCP server (0 strong, 4 medium validity signals). 5 known CVEs in dependencies (0 critical, 5 high severity) Package registry verified. Imported from the Official MCP Registry.

6 files analyzed · 6 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

env_vars

Check that this permission is expected for this type of plugin.

Shell Command Execution

Runs commands on your machine. Be cautious — only use if you trust this plugin.

file_system

Check that this permission is expected for this type of plugin.

What You'll Need

Set these up before or after installing:

URL of the local gutsy-inference serverOptional

Environment variable: GUTSY_URL

Directory with models.json; if set, gutsy-mcp starts gutsy-inference itselfOptional

Environment variable: GUTSY_INFERENCE_DIR

Minimum P(proceed) and P(intended) to recommend proceedingOptional

Environment variable: GUTSY_PROCEED_MIN

Minimum P(block) to recommend blockingOptional

Environment variable: GUTSY_BLOCK_MIN

How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-github-kouhxp-gutsy": {
      "env": {
        "GUTSY_URL": "your-gutsy-url-here",
        "GUTSY_BLOCK_MIN": "your-gutsy-block-min-here",
        "GUTSY_PROCEED_MIN": "your-gutsy-proceed-min-here",
        "GUTSY_INFERENCE_DIR": "your-gutsy-inference-dir-here"
      },
      "args": [
        "gutsy-mcp"
      ],
      "command": "uvx"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

gutsy-mcp

A local gut check for coding agents. Before Claude Code, Codex, Cursor or Copilot runs rm -rf, force-pushes, deploys or sends something, it calls gut_check and gets back calibrated probabilities that the action is intended and safe, plus a recommendation: proceed, confirm (ask the user first) or block.

Runs on your CPU with gutsy (0.8B, 775 MB GGUF). No API calls, no per-call cost, deterministic, and your code never leaves the machine.

What it is and isn't

It's a fast second opinion that adds friction where it's warranted. It is not a security boundary: the agent decides whether to call it and writes the context it sees, and a 0.8B model is weak at ambiguity and multi-step rules (see the model card). Keep your normal permission settings on. Default thresholds aren't tuned for your workflow; log the probabilities and adjust them.

1. Start the gutsy runtime

git clone https://github.com/kouhxp/gutsy
pip install -e gutsy/gutsy-inference
hf download kouhxp/gutsy --include "gutsy-0.8b-v04*" --local-dir gutsy/gutsy-inference/models
cd gutsy/gutsy-inference && cp models.example.json models.json
gutsy-inference check && gutsy-inference serve     # http://127.0.0.1:8765

Or set GUTSY_INFERENCE_DIR=/path/to/gutsy/gutsy-inference and gutsy-mcp starts it on first use.

2. Add the MCP server

Claude Code:

claude mcp add gutsy -- uvx gutsy-mcp

Cursor (.cursor/mcp.json) / Claude Desktop:

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

VS Code (.vscode/mcp.json):

{ "servers": { "gutsy": { "type": "stdio", "command": "uvx", "args": ["gutsy-mcp"] } } }

Codex (~/.codex/config.toml):

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

Then tell the agent when to use it (CLAUDE.md, AGENTS.md, .cursor/rules):

Before deleting files, rewriting git history, force-pushing, touching databases, deploying, publishing or sending anything, call gut_check. If it doesn't return proceed, stop and ask me.

3. Optional: enforce it with a Claude Code hook

An MCP tool only runs if the agent remembers to call it. The hook runs on every risky-looking Bash command regardless. It can only ask or deny, never auto-approve.

uv tool install gutsy-mcp      # puts gutsy-hook on PATH

.claude/settings.json:

{
  "hooks": {
    "PreToolUse": [
      { "matcher": "Bash", "hooks": [{ "type": "command", "command": "gutsy-hook", "timeout": 60 }] }
    ]
  }
}

block becomes a confirmation prompt by default; set GUTSY_HOOK_ALLOW_DENY=1 to deny outright.

Tool

gut_check(action, context="", user_request="") returns:

{
  "recommendation": "confirm",
  "reason": "Not confident enough to proceed without the user.",
  "p_intended": 0.41,
  "p_reversible": 0.08,
  "verdict_probabilities": {"proceed": 0.22, "confirm": 0.61, "block": 0.17},
  "reject": 0.04,
  "confidence": 0.42
}
env vardefault
GUTSY_URLhttp://127.0.0.1:8765runtime URL
GUTSY_INFERENCE_DIRlets gutsy-mcp start the runtime
GUTSY_MODELruntime defaultmodel name from models.json
GUTSY_PROCEED_MIN0.85
GUTSY_BLOCK_MIN0.50
GUTSY_API_KEYif you run serve --api-key-env

License: Apache 2.0.

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