gutsy MCP server
io.github.kouhxp/gutsy·v0.1.2Local gut check before risky agent actions: calibrated safe/intended probabilities, no API calls.
0 stars379 downloads/wk
Reviews
Write oneNobody has reviewed gutsy yet.
If you have run it, two minutes of your experience saves the next person an afternoon.
gutsy tools (1)
write = sends, deletes, buys or postsRead from the package source without running it. The installed server may list more.
gut_checkGet a local, calibrated second opinion BEFORE a risky or irreversible action.
Public scan report
scanner v0.1.10 · 2026-10-13 · same rubric, same numbers if you re-run it
- Code scan6 source files scanned25/25
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitylocal package, no credentials required12/15
- Maintenancelast push 6 days ago15/15
- Maintainer identityregistry namespace matches repository owner6/10
How gutsy compares
Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 89/100
- higher than 83% of 4,460 AI and agents servers
- Tools
- 1
- the typical AI and agents server has 6
- Tools that change things
- 0%
- typical: 0%. Fewer write tools means less an agent can break
- Downloads a week
- 379
- more than 83% of 1,538 AI and agents servers with a package
What its tools let an agent do: 1 read
Install gutsy in Claude Code, Cursor or VS Code
claude mcp add gutsy -- uvx gutsy-mcp
What the publisher says
From the gutsy repository's README, as published. We do not edit it. Read it on GitHub
gutsy-mcp
<!-- mcp-name: io.github.kouhxp/gutsy -->
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://127.0.0.1:8765Or set GUTSYINFERENCEDIR=/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-mcpCursor (.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 GUTSYHOOKALLOW_DENY=1 to deny outright.
Tool
gutcheck(action, context="", userrequest="") 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
}License: Apache 2.0.
Nothing above is checked by us. What we check is on the safety report.
gutsy: common questions
- Is gutsy MCP server safe?
- Yes, by our scan: it is graded A (89/100). Read the gutsy safety report
- How do I install gutsy?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does gutsy need an API key?
- No secret keys are declared. It reads 4 settings from the environment.
- Is gutsy maintained?
- The last commit was 28 days ago (2026-10-07). The latest release is v0.1.2.
- What can I use instead of gutsy?
- Servers from other publishers that do the same job: Decionis MCP server, Agent-Native Chat MCP server and Emilia Protocol MCP server.
- How does gutsy compare with other AI and agents MCP servers?
- safety score 89/100 (higher than 83% of 4,460 AI and agents servers); tools 1 (the typical AI and agents server has 6); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.
Alternatives to gutsy
Same job from other publishers: the closest match first, then the best rated.
- DecionisAuthorize consequential AI agent actions before executionnot reviewedEstablishedA
- Agent-Native ChatMinimal chat-first app with durable threads, actions, and the app-agent loopnot reviewedEstablishedA
- Emilia ProtocolExact-action approval for consequential agent actions: request, track, and verify signed receipts.not reviewedEstablishedB
- KilnSpawn an object into existence: describe it, and your agent designs it, checks it, and 3D prints it.not reviewedEstablishedB
- three.ws ProvenanceAppend-only, signed, on-chain-verifiable agent action log — record and audit what agents did.not reviewedEstablishedB