Martin Loop

Name: Martin Loop
Author: Keesan12

by Keesan12version 0.9.0i★ 286iRuns on your computer

Registry nameio.github.Keesan12/martin-loop

How to install

What it does

One system around coding agents to run, verify, recover, and hand off software work.

Connects Runs on your computer
Account or key No key needed
Category Developer tools

Install

Pick the AI app you use, then copy the settings.

Passed 3/3 checks · Runs on your computer

First: which AI do you use?

ClaudeWeb · app · phoneChatGPTWebClaude CodeTerminalCursorCode editorVS CodeCode editorOtherOther apps

Pick your app and the steps appear below.

Works with Claude, with some setup first

Install Node.js on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone

Install Node.js
One time only; it works for every server that needs Node.js
Open the Node.js download page ↗
Done
Open the Claude desktop app’s settings file
SettingsDeveloperEdit Config
Done

Paste these settings and save the file

{
  "mcpServers": {
    "martin-loop": {
      "command": "npx",
      "args": [
        "-y",
        "@martinloop/mcp"
      ]
    }
  }
}

Done

Quit Claude and open it again
Done
Try it
Use Martin Loop and tell me what you can do for me, then show me one thing
✓ If Claude says it is using Martin Loop or shows a Martin Loop tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

ChatGPT cannot connect Martin Loop yet

Martin Loop runs on your computer, but ChatGPT can only connect servers that run on the web

What you can do instead

A · Use an app that can connect Martin Loop

Steps for Claude →Install Node.js on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
Steps for Claude Code →Install Node.js on your computer first (one time)
Steps for Cursor →Install Node.js on your computer first (one time)
Steps for VS Code →Install Node.js on your computer first (one time)

B · Others in Developer tools that work with ChatGPT

Picked from the most used in the same category, only ones that connect by address with no key

Sentry✓ ChatGPT
Compiler Explorer✓ ChatGPT
GitDiagram✓ ChatGPT

Works with Claude Code, with some setup first

Install Node.js on your computer first (one time)

Install Node.js
One time only; it works for every server that needs Node.js
Open the Node.js download page ↗
Done
Open Terminal
Mac: press Command+Space and type Terminal · Windows: open PowerShell
Done

Paste this command and press Enter

claude mcp add --scope user martin-loop -- npx -y @martinloop/mcp

Done

Type /mcp in Claude Code
You should see Martin Loop listed as connected
Done
Try it
Use Martin Loop and tell me what you can do for me, then show me one thing
✓ If Claude Code says it is using Martin Loop or shows a Martin Loop tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with Cursor, with some setup first

Install Node.js on your computer first (one time)

Install Node.js
One time only; it works for every server that needs Node.js
Open the Node.js download page ↗
Done
Click this button to open Cursor
Open in Cursor
Cursor asks you to confirm; click Install
Done
Open the AI chat in Cursor in Agent mode
Done
Try it
Use Martin Loop and tell me what you can do for me, then show me one thing
✓ If Cursor says it is using Martin Loop or shows a Martin Loop tool in the answer, you are connected

Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with VS Code, with some setup first

Install Node.js on your computer first (one time)

Install Node.js
One time only; it works for every server that needs Node.js
Open the Node.js download page ↗
Done
Click this button to open VS Code
Open in VS Code
VS Code asks you to confirm; click Install
Done
Open the AI chat in VS Code in Agent mode
Done
Try it
Use Martin Loop and tell me what you can do for me, then show me one thing
✓ If VS Code says it is using Martin Loop or shows a Martin Loop tool in the answer, you are connected

Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.

See every app that uses MCP →

JSON settings are under “For developers” below

Stuck? Ask people who use Martin Loop💬 Discussion →

For developers: Terminal commands and JSON settings

Installed on your computer

Claude Code

claude mcp add --scope user martin-loop -- npx -y @martinloop/mcp

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "martin-loop": {
      "command": "npx",
      "args": [
        "-y",
        "@martinloop/mcp"
      ]
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "martin-loop": {
      "command": "npx",
      "args": [
        "-y",
        "@martinloop/mcp"
      ]
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "martin-loop": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@martinloop/mcp"
      ]
    }
  }
}

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

At a glance

GitHub stars i: 286
Downloads per weeki: 499/wk
Licence i: Apache-2.0
Connection: Runs on your computer
Transport: stdio
Latest versioni: 0.9.0
Categoryi: Developer tools
Published to registryi: Nov 4, 2026
Code last changedi: Nov 4, 2026
Maker: Keesan12
Packages: npm: @martinloop/mcp
Repo: Keesan12/martin-loop
Registry status: Active

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Run on your computer in

Claude Goose LM Studio Msty Studio Cherry Studio Cursor VS Code + GitHub Copilot Visual Studio Windsurf (Devin Desktop)Zed Kiro Cline Continue JetBrains AI Assistant Claude Code Codex CLI Gemini CLI OpenCode nodecode Warp LibreChat Raycast

All apps, with pros and cons →

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 13, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account Keesan12, which owns the repo
✓ Pass
Still maintained
Code last changed 9 days ago
✓ Pass
Has a licence
Uses Apache-2.0
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Discussion

Ask, share a tip or report that it does not work. Sorted by what people marked helpful.

No posts yet. Be the first to ask or share.

Posts here are written by users, not the PopNx team.

User reviews

No reviews yet

Compared with others in Developer toolsi

More stars than 98% of the other 5821 servers in this category
Published to the registry more recently than 71% of the other 5821 servers in this category
Basic checks equal to or better than 100% of the other 5821 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Martin Loop safe?

It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed 9 days ago, and the latest version (0.9.0) reached the registry 9 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: REA, GitHub, Serena MCP: the IDE for your agent

Others in the same category

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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GitHub

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

MartinLoop

Give coding agents more work. Watch them less. Ship more.

MartinLoop lets you give coding agents real software jobs without babysitting every step.

Your coding agent still writes the code. MartinLoop keeps the job focused, bounded, and accountable — with limits, stop conditions, verification, recovery, and a clear outcome when the run ends.

Trust your coding agents with real work.

Built from thousands of agent runs where the problem was not just intelligence — it was whether you could give the agent a real job and confidently walk away.

Measure your loop tax: npx -y martin-loop@latest audit Get started: npx -y martin-loop@latest start Try the demo: npx -y martin-loop@latest demo

MartinLoop is part of the NVIDIA Inception program.

Start Here

Audit first — run npx -y martin-loop@latest audit to see how much API-equivalent Claude Code spend went into fix-and-retry loops. Add --offline for zero network access or --share for a shareable summary.

Install / onboard — run npx -y martin-loop@latest start, or install it globally with npm install -g martin-loop@latest.

Governed run — define an objective, verifier, budget, and iteration cap with martin run.

Verifier — completion requires fresh verifier evidence bound to the active run and workspace. A configured verifier proves only the checks it runs; VERIFIED is not a claim that the code is bug-free or automatically safe to merge.

Budget — set a hard spend ceiling with --budget-usd and an attempt ceiling with --max-iterations.

Receipts — inspect the latest result with martin dossier --latest and validate stored integrity with martin runs verify --latest.

Hosted sync (optional) — governed work is local-first. Configure MARTIN_API_TOKEN and MARTIN_TELEMETRY_ENDPOINT, then use martin sync status and martin sync flush to send preserved evidence to a dashboard later. See the quickstart.

MCP — install @martinloop/mcp@latest in a supported host or generate host configuration with martin mcp print-config.

Documentation — continue with the quickstart, CLI reference, or MCP setup.

When --model is provided, MartinLoop passes it through unchanged. Without --model, the authenticated host runtime chooses its own default. MartinLoop does not inject a hidden fallback model.

For AI Agents

MartinLoop is the system around the coding job.

The coding agent still writes the code. MartinLoop keeps the job, limits, verification, recovery, outcome, and history consistent around the work.

Use MartinLoop when a coding task needs:

clear job and success criteria
preflight readiness before agent spend
hard budget and iteration limits
allowed or denied edit scope
controlled retries and stop conditions
independent verifier commands
recovery and rollback evidence
a finite completion decision
run receipts, dossiers, history, failure classification, and post-run analysis
one consistent workflow across supported coding-agent runtimes

Canonical lifecycle:

DEFINE

-> PREFLIGHT -> CONTROL -> VERIFY -> RECOVER -> PROVE -> ANALYZE

The product-level flow is Definition of Done -> Controlled Run -> Verified Handoff.

For machine-readable context start with llms.txt, llms-full.txt, and MartinLoop for AI Agents.

One System Around the Run

Teams should not need to stitch together a separate script or point tool for every part of coding-agent execution. MartinLoop connects the control path around the agent from preflight through post-run evidence.

Stage	MartinLoop role
Define	Capture the objective, verifier, budget, scope, and finish line.
Preflight	Check readiness and required workflow evidence before agent spend.
Control	Enforce budgets, attempts, path boundaries, policy, and stop conditions while the coding agent works.
Verify	Run configured checks and bind the evidence to the active run and workspace.
Recover	Preserve recovery and rollback state when another attempt or human review is required.
Prove	Produce the authoritative `VERIFIED`, `STOPPED`, or `NEEDS REVIEW` handoff plus receipts.
Analyze	Inspect run history, cost provenance, failure classes, dossiers, and shareable evidence after execution.

MartinLoop does not replace Git, GitHub, CI, dedicated security scanners, observability platforms, code review, or the coding agent itself. It gives those workflows one governed execution record to inspect.

Change the worker. Keep the job.

MartinLoop is model-agnostic by design. The job, limits, verification, recovery, and outcome are separate from the worker underneath.

Native coding-agent CLIs and OpenAI-compatible model runtimes use different execution paths, so MartinLoop only describes a worker as fully supported when that execution path has been publicly released and validated.

Why MartinLoop

AI coding agents can create more software than ever. The problem is trusting them with bigger jobs without turning yourself into their full-time manager.

Agents drift. They retry. They break unrelated things. They say "done" too early. And a run that was supposed to save time can create even more work to review.

MartinLoop keeps the job accountable outside the agent itself: clear boundaries, hard limits, configured checks, recovery information, and an explicit outcome.

The goal is simple:

Give the agent more responsibility without giving it unlimited freedom.

Why Teams Adopt MartinLoop

Less babysitting — give agents larger jobs without watching every step.
Clear boundaries — keep scope, attempts, and spend inside the limits you set.
Checks before "done" — configured verification decides whether the evidence passed.
Understand failures — know why the run stopped instead of digging through logs.
Recover cleanly — preserve enough evidence to retry, repair, roll back, or hand off.
One workflow across agents — keep the job consistent as the worker underneath changes.

More software. Less supervision.

See Your Loop Tax

Before changing your workflow, measure it:

npx -y martin-loop@0.9.0 audit

MartinLoop reads Claude Code session history locally and reports how much API-equivalent agent spend happened inside fix-and-retry loops, how often verifier commands failed, the longest retry chain, and sessions that ended red. Session contents stay local. Use --offline to disable even the public pricing lookup, and --share to create a screenshot-ready SVG plus Markdown summary.

Then put limits around the next run:

npx -y martin-loop@0.9.0 enable --engine codex

npx -y martin-loop@0.9.0 run " " --verify "npm test" --budget-usd 2 --max-iterations 3

2-Minute Install Path

If MartinLoop detects more than one supported coding-agent runtime, save the one you want to use before the first governed run. For example:

npx -y martin-loop@latest enable --engine codex

Replace codex with claude or gemini when that is your intended runtime.

npx -y martin-loop@latest start

npx -y martin-loop@latest demo cd martin-loop-demo npm install npx -y martin-loop@latest run "Summarize the demo workspace and prove tests still pass" --verify "npm test" --budget-usd 2 --max-iterations 1

Quick Start

Try MartinLoop in a disposable demo workspace:

npx -y martin-loop@latest enable --engine codex

npx -y martin-loop@latest start npx -y martin-loop@latest demo npx -y martin-loop@latest --version cd martin-loop-demo npm install npx -y martin-loop@latest run "Summarize the demo workspace and prove tests still pass" --verify "npm test" --budget-usd 2 --max-iterations 1 npx -y martin-loop@latest dossier --latest npx -y martin-loop@latest share --latest

Optional global install:

npm install -g martin-loop

martin-loop --version

If this flow is useful, open an issue with feedback so we can keep improving the public experience.

start prints the first-run guided path. run auto-checks doctor, session-start, and preflight, then executes when the environment is ready. Use --proof only when you intentionally want an explicit no-spend lane.

Inspect-first flow:

npx -y martin-loop@latest enable --engine codex

npx -y martin-loop@latest doctor npx -y martin-loop@latest session-start npx -y martin-loop@latest preflight "Summarize the demo workspace and prove tests still pass" --verify "npm test"

share --latest writes three files into the selected run directory under share/: run-receipt.json, run-receipt.md, and proof-card.svg.

Release notes for MartinLoop 0.6.5: MartinLoop 0.6.5.

Release notes for MartinLoop 0.6.6: MartinLoop 0.6.6.

Release notes for MartinLoop 0.6.7: MartinLoop 0.6.7.

Release notes for MartinLoop 0.6.8: MartinLoop 0.6.8.

Release notes for MartinLoop 0.7.0: MartinLoop 0.7.0.

Release notes for MartinLoop 0.7.1: MartinLoop 0.7.1.

Release notes for MartinLoop 0.8.0: MartinLoop 0.8.0.

Release notes for MartinLoop 0.8.1: MartinLoop 0.8.1.

Release notes for MartinLoop 0.8.2: MartinLoop 0.8.2.

Release notes for MartinLoop 0.8.3: MartinLoop 0.8.3.

Release notes for MartinLoop 0.8.4: MartinLoop 0.8.4.

Release notes for MartinLoop 0.8.5: MartinLoop 0.8.5.

Release notes for MartinLoop 0.8.6: MartinLoop 0.8.6.

Release notes for MartinLoop 0.8.7: MartinLoop 0.8.7.

Release notes for MartinLoop 0.8.8: MartinLoop 0.8.8.

Release notes for MartinLoop 0.8.9: MartinLoop 0.8.9.

Release notes for MartinLoop 0.9.0: MartinLoop 0.9.0.

Swarm Mode Demo

Run the deterministic 15-agent launch-board demo without provider calls or spend:

npx -y martin-loop@0.9.0 demo --swarm

That default result is local simulation evidence only: it is non-governed, is not persisted to the Swarm run store, and does not evaluate signed receipt integrity. Inspect simulation output through the `demo

Only the beginning is shown; read the rest in the repo

Martin Loop

What it does

Install

Install Node.js

Open the Claude desktop app’s settings file

Paste these settings and save the file

Quit Claude and open it again

Try it

What you can do instead

Install Node.js

Open Terminal

Paste this command and press Enter

Type /mcp in Claude Code

Try it

Install Node.js

Click this button to open Cursor

Open the AI chat in Cursor in Agent mode

Try it

Install Node.js

Click this button to open VS Code

Open the AI chat in VS Code in Agent mode

Try it

Installed on your computer

At a glance

Which apps can use it

Related guides

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Discussion

User reviews

Compared with others in Developer toolsi

Common questions

Others in the same category

REA

GitHub

Serena MCP: the IDE for your agent

README from the maker

MartinLoop

Start Here

For AI Agents

One System Around the Run

Change the worker. Keep the job.

Why MartinLoop

Why Teams Adopt MartinLoop

See Your Loop Tax

2-Minute Install Path

Quick Start

Swarm Mode Demo