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Gitworthy

by trippyogiversion 0.3.6i★ –iRuns on your computer
Registry nameio.github.trippyogi/gitworthy

Install

Overview

Description from the maker (original English)

is it worth your commit? Pre-flight triage for OSS contribution targets.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other
  • You need to fill in: GITHUB_TOKEN

Install

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

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: GITHUB_TOKEN

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "gitworthy": {
      "command": "npx",
      "args": [
        "-y",
        "gitworthy"
      ],
      "env": {
        "GITHUB_TOKEN": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add gitworthy --env GITHUB_TOKEN=your-value -- npx -y gitworthy

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "gitworthy": {
      "command": "npx",
      "args": [
        "-y",
        "gitworthy"
      ],
      "env": {
        "GITHUB_TOKEN": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "gitworthy": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "gitworthy"
      ],
      "env": {
        "GITHUB_TOKEN": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • GITHUB_TOKEN secret env
    GitHub personal access token (fine-grained, read-only public repos). Optional; raises API rate limit from 60 to 5000 requests/hour.

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

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account trippyogi, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – 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

Compared with others in Otheri

  • More stars than 0% of the other 32558 servers in this category
  • Published to the registry more recently than 20% of the other 32558 servers in this category
  • Basic checks equal to or better than 100% of the other 32558 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 Gitworthy safe?

It passed 1 of 1 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?

You need to fill in: GITHUB_TOKEN

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 –, and the latest version (0.3.6) reached the registry 3 months 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: Spec Driven Development, Remote Desktop Commander, FactLot

Alternatives

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

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

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by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
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FactLot

by 9mp96ygnbk-alt

Cited CRE facts and deterministic calculators for agents: rent, CAM, debt sizing, IRR, parcel IDs.

Computer or cloudUpdated today
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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.

Gitworthy

The decision layer before a coding agent starts work.

Gitworthy helps coding agents scout, rank, and preflight software work before they spend cycles implementing it. It finds the strongest candidates, checks whether the work is already handled or blocked, and returns evidence-backed ACT , VERIFY , or SKIP decisions for each target.

MCP setup · CLI · Agent workflow · Verdicts · Troubleshooting · Case studies · Roadmap · Contributing


Why Gitworthy

Coding agents make implementation cheap. Choosing the wrong task is still expensive.

An issue can look open while:

  • a fix already exists on an unlinked branch;
  • another contributor has an active pull request;
  • the change landed on main but has not been released;
  • the repository requires assignment before accepting work;
  • a duplicate or abandoned implementation already contains the answer.

Gitworthy performs that preflight before a human or agent spends the next unit of work.

How agents use Gitworthy

The agent owns the loop. Gitworthy is the MCP decision engine it calls to scout and validate work.

Contribution goal, repository, or organization

│ ▼ Cursor / ChatGPT / Hermes / agent │ Gitworthy MCP │ ▼ policy → scan → rank → preflight │ ┌────────┼────────┐ ▼ ▼ ▼ ACT VERIFY SKIP queue it inspect drop it │ ▼ optional portfolio (mode + dispatch, not a new verdict) │ ▼ Ranked candidate shortlist │ ▼ Select a candidate │ ▼ recheck → reproduce → implement → review

There are two distinct lanes:

  • Scout lane: discover, filter, rank, preflight, and return a shortlist.
  • Execute lane: select, record intent, recheck fresh state, reproduce, implement, review, and submit through the repository's allowed contribution path.

ACT means “worth considering,” not “start coding blindly.” Scout results go stale, so Gitworthy should be run again when an agent actually claims or begins a target.

See docs/AGENT_WORKFLOW.md for the complete agent policy, tool-selection guide, and scout-to-execute handoff.

Use it with Cursor, ChatGPT, Hermes, or any MCP client

Local stdio (desktop / agent VM)
{

"mcpServers": { "gitworthy": { "command": "npx", "args": ["-y", "gitworthy@latest", "mcp"], "env": { "GITHUB_TOKEN": "github_pat_..." } } } }

Streamable HTTP (Cloud Agents / mobile / iPad)

Run or deploy the same engine over HTTP and point the client at a URL:

export GITWORTHY_MCP_TOKEN="$(openssl rand -hex 32)"

export GITHUB_TOKEN="github_pat_..." npx -y gitworthy@latest mcp --http --host 127.0.0.1 --port 8787

{

"mcpServers": { "gitworthy": { "url": "https://mcp.example.com/mcp", "headers": { "Authorization": "Bearer ${env:GITWORTHY_MCP_TOKEN}" } } } }

Non-loopback binds require GITWORTHY_MCP_TOKEN. Keep GITHUB_TOKEN on the server. Full deploy and Cloud Agent notes: docs/HTTP_MCP.md. Tool descriptions, annotations, and structured results: docs/MCP.md. Portable Agent Plugins packaging (skill + MCP): docs/AGENT_PLUGINS.md.

Give the agent a policy like this:

Use Gitworthy before investing in external repository work. Use hunt to

build a short ranked queue. Read each candidate's worth_check; hunt does

not produce one global verdict. Treat ACT as a queue candidate, perform the

named checks on VERIFY, and remove SKIP candidates. Before implementing a

selected target, rerun worth_check and follow the repository's contribution

policy.

The token only needs read access to public repositories. For the most accurate linked-work detection, use a classic PAT or a fine-grained token with Issues: Read so Gitworthy can see timeline cross-references. Weaker tokens still work, but missing visibility is reported in not_checked.

Try it in 30 seconds

Check that your environment is ready:

npx -y gitworthy@latest doctor --json

Evaluate a specific issue:

npx -y gitworthy@latest check owner/repo#123

Render a deterministic handoff brief from a stored decision:

npx -y gitworthy@latest brief decision_abc123 --format markdown --out brief.md

Brief generation is read-only over the local store and never calls GitHub, npm, or an LLM. Stored decisions are considered stale after 24 hours; stale briefs warn and recommend recheck.

Scout and preflight a short list of contribution targets:

npx -y gitworthy@latest hunt owner/repo --json

npx -y gitworthy@latest hunt openclaw --max-checks 3 --json

Use @latest for exploration. Pin a version in repeatable agent workflows and CI.

What hunt actually returns

hunt is a bounded funnel, not a bulk verdict command:

contribution policy

↓ scan repository or organization ↓ rank issue quality and optional skill fit ↓ remove obvious land-only, assigned, weak, or known-SKIP rows ↓ run worth_check on only the best few candidates ↓ return candidates with individual verdicts and evidence

The agent should read each hunt_candidate.worth_check. Gitworthy intentionally avoids running an expensive full preflight on every issue returned by a broad scan.

ACT, VERIFY, or SKIP

VerdictScout behaviorExecution behavior
ACTAdd it to the ranked queue after reading evidence.Recheck before claiming or implementing; proceed only if fresh state and policy still allow it.
VERIFYSurface it with the unresolved checks named.Resolve those checks before forking or making a public claim.
SKIPRemove it from the queue.Do not begin parallel work; inspect the cited work or choose another target.

A verdict is not a vibes-based score. Gitworthy returns structured evidence, the checks it completed, and the checks it could not complete.

A real preflight

A target issue in block/buzz appeared open, but a prior implementation already existed in a pull request using nearly the same title.

Target: block/buzz#1659

Verdict: VERIFY Disposition: review

Evidence:

  • An implementation exists in PR #1675.
  • The pull request is linked work, not a duplicate issue.

Next action: Inspect the current implementation before starting parallel work.

That case also exposed a false-positive path in duplicate detection: GitHub's issues API includes pull requests. The fix became a regression test and calibration case.

More real contribution sessions are documented in CASE_STUDIES.md.

How it works

Gitworthy combines bounded checks that answer different ways a task can be unsafe or wasteful to start.

CheckWhat it protects against
Linked workExisting pull requests, assignments, referenced commits, and prior attempts
Branch scanWork already present on unlinked remote branches
Issue vs. mainFixes that landed while the issue remained open
Release gapChanges on main that are not in the published package
Contribution policyClaim requirements, assignment rules, and repositories that do not accept pull requests
Duplicate analysisRelated or previously reported issues
Scan / org scanUnranked issue tracker noise
HuntWasteful broad checking by narrowing candidates before expensive preflight

The CLI and MCP server are thin adapters over the same TypeScript core.

Trust model

Gitworthy is designed to be useful without pretending to know more than it checked.

  • Heuristic evidence cannot independently create a hard SKIP.
  • Hard SKIP requires definitive evidence.
  • Failed mandatory checks cap the result at VERIFY.
  • Every real result includes meaningful checked and not_checked fields.
  • Human-readable prose is never parsed to decide the verdict.
  • Target repositories and packages are treated as hostile input.
  • Telemetry is off by default. The MCP path emits no telemetry.
  • Scout results are not treated as permanent; execution requires fresh revalidation.

ACT does not mean “blindly start coding.” Read the evidence, disposition, reasons, linked work, and repository policy before investing.

Agent-native output

Every core result includes a structured envelope:

{

"verdict_summary": "one sentence", "evidence": [], "signals": [], "checked": [], "not_checked": [], "cached": false, "fetched_at": "2026-01-01T00:00:00.000Z" }

signals is the load-bearing input to the decision policy. checked and not_checked are part of the result, not footnotes.

Common commands

gitworthy check owner/repo#123 [--npm-package name] [--json]

gitworthy hunt owner/repo [--manifest path] [--max-checks 3] [--json] gitworthy portfolio owner/repo [--max-items 10] [--json] gitworthy prs owner/repo [--json] gitworthy ci-triage --head-check test:failure --base-check test:success [--json] gitworthy history owner/repo --path src/core/hunt.ts [--json] gitworthy opportunity-ingest --source hermes-eval --id case-9 [--json] gitworthy scan owner/repo [--label "help wanted"] [--json] gitworthy org owner [--manifest path] [--max-repos 8] [--json] gitworthy policy owner/repo [--json] gitworthy init [--user] [--repo] [--json] gitworthy config validate [--path path] [--manifest path] [--json] gitworthy config show --effective [--json] gitworthy profile show [--json] gitworthy related owner/repo [issue] [--json] gitworthy ledger show owner/repo#123 [--json] gitworthy doctor [--json] gitworthy mcp gitworthy mcp --http [--host 127.0.0.1] [--port 8787] [--stateless]

Exit codes for check:

  • 0 — ACT
  • 10 — VERIFY
  • 20 — SKIP
  • 1 — error

See SKILL.md for the strict contribution gates and docs/AGENT_WORKFLOW.md for the explanatory workflow guide.

Documentation

DocTopic
docs/AGENT_WORKFLOW.mdScout vs execute, tool selection
docs/VERDICTS.mdACT / VERIFY / SKIP and dispositions
docs/CLI.mdCLI reference and exit codes
docs/MCP.mdMCP tools, annotations, structured results
docs/AGENT_PLUGINS.mdAgent Plugins v1 packaging (skill + MCP)
docs/HTTP_MCP.mdStreamable HTTP MCP
docs/CONFIG.mdConfig, manifests, profiles
docs/DATA.mdLocal store, outcomes, captures
docs/EVALS.mdFrozen / live / private eval
docs/CORPUS.mdCorpus taxonomy (pass rate vs precision)

| [docs

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