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Litmus

by polygraphsoversion 0.36.0i★ –iComputer or cloud
Registry nameio.github.polygraphso/litmus

Install

Overview

Description from the maker (original English)

Grade MCP servers A to F with the open behavioral litmus. npm: full toolset; hosted: lookups only.

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.

Install

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

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • You fill in yourself: POLYGRAPH_API_URL, NEXT_PUBLIC_POLYGRAPH_NETWORK

You need

  • Runs in the cloudNothing to install; it connects over the internet
  • 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 …”.

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://polygraph.so/api/mcp

Or run it on your computer

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

{
  "mcpServers": {
    "litmus": {
      "command": "npx",
      "args": [
        "-y",
        "@polygraphso/litmus",
        "polygraphso-litmus-mcp"
      ],
      "env": {
        "POLYGRAPH_API_URL": "your-value",
        "NEXT_PUBLIC_POLYGRAPH_NETWORK": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add --transport http litmus https://polygraph.so/api/mcp

Or run it on your computer

claude mcp add litmus --env POLYGRAPH_API_URL=your-value --env NEXT_PUBLIC_POLYGRAPH_NETWORK=your-value -- npx -y @polygraphso/litmus polygraphso-litmus-mcp

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": {
    "litmus": {
      "url": "https://polygraph.so/api/mcp"
    }
  }
}

Or run it on your computer

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "litmus": {
      "command": "npx",
      "args": [
        "-y",
        "@polygraphso/litmus",
        "polygraphso-litmus-mcp"
      ],
      "env": {
        "POLYGRAPH_API_URL": "your-value",
        "NEXT_PUBLIC_POLYGRAPH_NETWORK": "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": {
    "litmus": {
      "type": "http",
      "url": "https://polygraph.so/api/mcp"
    }
  }
}

Or run it on your computer

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "litmus": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@polygraphso/litmus",
        "polygraphso-litmus-mcp"
      ],
      "env": {
        "POLYGRAPH_API_URL": "your-value",
        "NEXT_PUBLIC_POLYGRAPH_NETWORK": "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.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://polygraph.so/api/mcp

Menu names can differ slightly by plan and over time.

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

Values you fill in

  • POLYGRAPH_API_URL env
    Base URL for published-grade lookups (check_server, list_servers, request_grade) and attestation resolution.
  • NEXT_PUBLIC_POLYGRAPH_NETWORK env
    Which network to read attestations from: 'base' (mainnet, default) or 'base-sepolia' (testnet).

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

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account polygraphso, 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 checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Otheri

  • More stars than 0% of the other 32476 servers in this category
  • Published to the registry more recently than 18% of the other 32476 servers in this category
  • Basic checks equal to or better than 100% of the other 32476 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 Litmus 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?

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?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.36.0) reached the registry 4 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, zanadir

Alternatives

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

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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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zanadir

by MustacheCase

Find what a repository's CI is missing, and which security checks cannot fail the build.

Runs on your computerUpdated 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.

litmus

The open behavioral litmus harness for MCP servers — grade A–F, reproducible.

Grade a server in one command

# -p is required: the package ships three bins, so npx must be told which to run

npx -y -p @polygraphso/litmus polygraphso-litmus litmus npm/@modelcontextprotocol/server-filesystem

Point it at an npm ref, a pypi ref, a github/owner/repo ref (cloned, built, and run sandboxed — Docker required; the grade pins the commit SHA), an https:// MCP endpoint, or a local entry file. The harness connects the way an agent would, fingerprints the exact tool surface, runs the four probe categories, and prints the grade with the findings behind it — plus a deterministic evidence bundle on disk. It runs the target's code (egress is Docker-sandboxed; without Docker, C-02 is skipped and the grade caps at B), takes ~20–60s, and exits non-zero on D/F so it scripts anywhere. To dispute any published grade, re-run this same command against the same server — open and deterministic means a re-run reproduces the grade, or refutes it.

Looking up a grade someone already published takes under a second and runs nothing: the polygraph.so index, or check_server from the MCP tools below.

Use it from your agent — MCP server + plugin

For grade lookups, point any MCP client at polygraph's hosted endpoint, no install:

claude mcp add --transport http polygraph https://polygraph.so/api/mcp

or the raw config:

{ "mcpServers": { "polygraph": { "url": "https://polygraph.so/api/mcp" } } }

This serves the lookup tools only (check_server, list_servers, request_grade); grading a server yourself (run_litmus, run_skill_litmus) executes its code, so it needs the local stdio install below.

The package also ships a stdio MCP server (polygraphso-litmus-mcp) with the full toolset, for any MCP-capable client:

  • `check_server` — read a server's *published* grade in under a second (no execution); the pre-flight check before recommending or installing a server.
  • `list_servers` — servers with a published grade, A first; paged (default 25 per call, with grade/limit/offset filters and a full-corpus summary).
  • `request_grade` — record a grade request with polygraph.so ($1 one-time fee; graded within 48h of payment — the response carries the payment link).
  • `run_litmus` — grade a server *now*: the full harness, grade + evidence returned to the agent.
  • `run_skill_litmus` — grade a Claude Code / Agent Skill (static scan, A/B/D/F).
  • `verify_attestation` — read the onchain proof behind a published grade (EAS on Base).

In Claude Code, the plugin wires the server plus two commands in one step:

/plugin marketplace add polygraphso/litmus

/plugin install polygraph@polygraphso

then /polygraph:grade and /polygraph:check . Cursor and manual JSON setups are on polygraph.so; full tool docs in packages/litmus/README.md.

Gate your CI on MCP grades — GitHub Action

Fail a build when an MCP server or an Agent Skill it ships grades D/F under the open behavioral litmus. For servers it is hybrid — a fast lookup of the published grade, then the harness when ungraded; for skills it is a fast static scan. Un-gradeable targets warn unless strict.

It's on the [GitHub Marketplace](https://github.com/marketplace/actions/polygraph-mcp-gate) as polygraphso/litmus@v1. For a security gate, pin to a commit SHA rather than the mutable @v1 tag:

# .github/workflows/mcp-gate.yml

name: mcp-gate on: [pull_request] # NOT pull_request_target — that exposes secrets to fork PRs permissions: contents: read jobs: gate: runs-on: ubuntu-latest steps:

  • uses: actions/checkout@v5
  • uses: polygraphso/litmus@ # pin to a SHA; resolve from the v1 release with:

Name the targets explicitly (recommended). Grading runs a server's code,

so on a public repo prefer an allowlist over discovering PR-controlled config:

servers: | npm/@modelcontextprotocol/server-filesystem skills: | ./my-skill

discover: "true" # opt in to auto-discovery (.mcp.json/.vscode/.cursor) — trusted repos only

min-grade: B # stricter than the default D/F gate

strict: "true" # also fail on targets that cannot be graded

Inputs: servers · skills · discover (default false) · min-grade · strict · working-directory · version · bearer. Outputs: result · failed · report.

Security. Grading a server runs its code (egress is Docker-sandboxed, but it still executes). Trigger on pull_request, never pull_request_target. Keep discover off on public repos and name targets explicitly — auto-discovered config is pull-request-controllable. bearer is sent as an Authorization header to the target, so pass it only for an explicitly trusted, pinned remote — never with discovery or on untrusted PRs, and keep it scoped and short-lived.

Not on GitHub? The gate is a plain command — npx @polygraphso/litmus@0.20.0 ci (pin the version) — so it runs in any CI or as a pre-commit hook. A grade is a measurement, not a guarantee: re-run the open harness to reproduce any result.

What litmus is

This is the source for [`@polygraphso/litmus`](https://www.npmjs.com/package/@polygraphso/litmus), the open behavioral litmus harness for MCP servers from polygraph.so.

The harness connects to an MCP server the way an agent would, fingerprints its exact tool surface, and runs four probe categories — C-01 tool-output injection (static, dynamic, and second-order — one tool's output weaponized as another's input), C-02 permission/egress (in a hardened default-deny Docker sandbox, matched host and port), C-03 sensitive-data handling (planted canaries), C-04 adversarial-input handling (malformed/oversized and jailbreak inputs) — then grades the server A–F. A passing grade is a measurement, not a guarantee; the methodology and its disclosed limits are at polygraph.so (the open source here is the ground truth).

Alongside the grade, an npm target's dependency tree is checked against the osv.dev vulnerability database and any vulnerable dependencies are reported as dependency advisories. This is a separate, point-in-time signal — it is *advisory only*: it never affects the A–F grade and is not part of the reproducible evidence (vulnerability data changes over time, so folding it into the grade would break re-run reproducibility). It applies to npm targets only; other target kinds report it as skipped. Resolution runs npm install --package-lock-only --ignore-scripts, which resolves the tree without downloading tarballs or running any package code. Opt out with --no-deps-audit (or LITMUS_DEPS_AUDIT=0).

The same package also grades Claude Code / Agent Skills (a SKILL.md + bundle) under a separate static litmus (litmus-skill-v3): a deterministic byte-scan — S-01 prompt injection, S-03 data-exfiltration instructions, S-04 dangerous commands in the SKILL.md body or bundled scripts (incl. base64-obfuscated curl | bash) — graded A/B/D/F and anchored by a whole-directory content hash, plus a separate advisory quality signal. It is *static* (no execution): an A is static-clean, not behavioral proof. See packages/litmus/README.md.

The hosted, operator-run grading service is not in this repo — it lives in a separate private repo and consumes this package from npm like any other client.

Layout

This is a pnpm monorepo. Only `@polygraphso/litmus` is published; the @polygraph/* packages are private building blocks that tsup bundles into it.

packages/

litmus/ # @polygraphso/litmus — the only published package (lib + 3 bins: CLI, skill CLI, MCP) core/ # contract types, canonical JSON, identity helpers probes/ # the harness: connect, fingerprint, grade, probe runners, sandbox onchain/ # EAS attestation read + encode/decode (Base) — read-only, no minting agent/ # agent-gate decision logic + live-fingerprint recheck mcp/ # MCP server wrapper cli/ # CLI commands + target/auth resolution demo-*-mcp/ # demo MCP servers used as test fixtures

See packages/litmus/README.md for the npm-facing usage docs, and polygraph.so for the methodology and proof format.

Develop

pnpm install

pnpm -r typecheck pnpm -r test pnpm --filter @polygraphso/litmus build # → packages/litmus/dist

Release

@polygraphso/litmus is versioned in packages/litmus/package.json. Tag to publish:

git tag litmus-v<x.y.z> && git push origin litmus-v<x.y.z>

The Publish @polygraphso/litmus workflow builds, typechecks, tests, and publishes with npm provenance. See CONTRIBUTING.md for the full process and the local-development workflow for downstream consumers.

License

Apache-2.0 — © polygraph.so.

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