litmus MCP server
✓ VerifiedMemberikan grading untuk MCP server dan agent skills dari skala A sampai F menggunakan behavioral harness yang dapat direproduksi untuk mendeteksi kerentanan keamanan dan risiko injection.
Juga dikenal sebagai polygraphso/litmus, @polygraphso/litmus
- Stars
- 8
- Tools
- —
- Unduhan, 30 hari
- —
- Versi terbaru
- 0.36.0
- Commit terakhir
- 20 Jul 2026
- Lisensi
- Apache-2.0
Apa itu litmus MCP?
litmus adalah MCP server. Memberikan grading untuk MCP server dan agent skills dari skala A sampai F menggunakan behavioral harness yang dapat direproduksi untuk mendeteksi kerentanan keamanan dan risiko injection.
Ringkasan dibuat dari README proyek
Tentang litmus MCP server
Litmus menyediakan behavioral harness yang dapat direproduksi, yang dirancang untuk mengevaluasi keamanan dan reliabilitas MCP server serta agent skills. Litmus memberikan grade dari A sampai F dengan mensimulasikan cara agent berinteraksi dengan target, melakukan fingerprinting pada tool surface, dan mengeksekusi empat kategori probe spesifik. Probe ini menguji tool-output injection, kerentanan permission dan egress, penanganan data sensitif, serta resistensi terhadap adversarial input.
Developer dapat menggunakan tool ini secara lokal melalui npx untuk melakukan grading pada package npm, referensi PyPI, repositori GitHub, atau file entry lokal. Saat menguji repositori GitHub, Docker diperlukan untuk menyediakan sandbox bagi eksekusi kode. Untuk integrasi ke dalam workflow AI, Litmus menawarkan MCP server yang memungkinkan client seperti Claude untuk melakukan pengecekan grade menggunakan tool seperti check_server dan list_servers. Litmus juga berfungsi sebagai GitHub Action untuk mengontrol pipeline CI/CD, dengan menghentikan build jika sebuah server atau skill memiliki grade di bawah standar minimum yang ditentukan.
Apa yang bisa Anda lakukan dengannya
- 1Verifikasi keamanan server sebelum instalasiAI client dapat memeriksa apakah sebuah MCP server tertentu sudah memiliki grade yang dipublikasikan untuk memastikan keamanan penggunaannya.
- 2Otomatisasi security gate di CI/CDDeveloper dapat mencegah deployment MCP server atau agent skills yang tidak aman dengan cara menghentikan build yang mendapatkan grade rendah.
- 3Scan agent skills terhadap prompt injectionLakukan static scan pada Claude Code atau Agent Skills untuk mendeteksi command berbahaya atau instruksi eksfiltrasi data.
Ditulis berdasarkan README proyek. Setiap use case diperiksa terhadap kutipan dari README tersebut.
Cara menginstal litmus MCP
Format diverifikasi 10 Nov 2026Tambahkan ke CursorTambahkan ke GooseInstal litmus MCP di Claude Code
$ claude mcp add litmus -- npx -y @polygraphso/litmusInstal litmus MCP di Cursor
~/.cursor/mcp.json
{
"mcpServers": {
"litmus": {
"command": "npx",
"args": [
"-y",
"@polygraphso/litmus"
]
}
}
}Instal litmus MCP di VS Code
.vscode/mcp.json
{
"servers": {
"litmus": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@polygraphso/litmus"
]
}
}
}Instal litmus MCP di VS Code CLI
$ code --add-mcp '{"name":"litmus","type":"stdio","command":"npx","args":["-y","@polygraphso/litmus"]}'Instal litmus MCP di Claude Desktop
claude_desktop_config.json
{
"mcpServers": {
"litmus": {
"command": "npx",
"args": [
"-y",
"@polygraphso/litmus"
]
}
}
}Instal litmus MCP di Codex
$ codex mcp add litmus -- npx -y @polygraphso/litmusInstal litmus MCP di Codex config.toml
~/.codex/config.toml
[mcp_servers.litmus] command = "npx" args = ["-y", "@polygraphso/litmus"]
Instal litmus MCP di Gemini CLI
$ gemini mcp add -s user litmus npx -- -y @polygraphso/litmusInstal litmus MCP di Gemini settings.json
~/.gemini/settings.json
{
"mcpServers": {
"litmus": {
"command": "npx",
"args": [
"-y",
"@polygraphso/litmus"
]
}
}
}Konfigurasi
NEXT_PUBLIC_POLYGRAPH_NETWORKWhich network to read attestations from: 'base' (mainnet, default) or 'base-sepolia' (testnet).
POLYGRAPH_API_URLBase URL for published-grade lookups (check_server, list_servers, request_grade) and attestation resolution.
| Nama | Deskripsi | Tipe |
|---|---|---|
| NEXT_PUBLIC_POLYGRAPH_NETWORK | Which network to read attestations from: 'base' (mainnet, default) or 'base-sepolia' (testnet). | |
| POLYGRAPH_API_URL | Base URL for published-grade lookups (check_server, list_servers, request_grade) and attestation resolution. |
Pengecekan otomatis
Berjalan 14 Nov 2026Laporan lengkap →Lolos checks otomatis kami. Ini bukan audit keamanan: baca kodenya dan berikan server akses paling terbatas yang dibutuhkannya. Cara kerja checks · Yang perlu diperbaiki untuk menambah poin
- Source repository terhubung dan dapat dijangkaupolygraphso/litmus is public and reachablegithub.com/polygraphso/litmus ↗Lolos
- Nama paket mencantumkan repositori ini sebagai sumbernya@polygraphso/litmus names polygraphso/litmus as sourcenpmjs.com/package/@polygraphso/litmus ↗Lolos
- Provenance build (atestasi Sigstore)No build attestation published for this releaseTidak diperiksa
- Lisensi open source (OSI)Apache-2.0spdx.org/licenses/Apache-2.0.html ↗Lolos
- Ada commit atau release dalam satu tahun terakhirLast commit or release 2026-07-20github.com/polygraphso/litmus ↗Lolos
- OpenSSF ScorecardTidak diperiksa
- Nama package tidak mirip dengan package populerNo popular package one edit away from @polygraphso/litmusLolos
- Tidak ada advisory kritis pada paket atau dependensinya137 resolved dependencies checked; no critical advisoryosv.dev ↗Lolos
- Tidak ada instruksi tersembunyi untuk model0 tool descriptions and the README read; no override phrases, credential paths or hidden charactersLolos
- Tools yang bersifat destruktif telah diberi labelTidak diperiksa
- Endpoint remote merespons handshake MCPEndpoint did not answer initialize: HTTP 404Temuan
README
Lihat di GitHublitmus
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, withgrade/limit/offsetfilters 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 <server> and /polygraph:check <server>. 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 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@<commit-sha> # 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,
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.
Pertanyaan tentang litmus MCP
Bagaimana cara menambahkan litmus MCP ke Claude Code?
Jalankan claude mcp add litmus -- npx -y @polygraphso/litmus di terminal Anda. Tambahkan --scope user agar tersedia di semua proyek.
Bagaimana cara menambahkan litmus MCP ke Cursor?
Buka ~/.cursor/mcp.json dan tambahkan server di bawah mcpServers, menggunakan config Cursor yang ditunjukkan di bagian instalasi di atas.
Bagaimana cara melakukan grading pada sebuah MCP server?
Anda dapat melakukan grading pada sebuah server hanya dengan satu perintah menggunakan npx dengan mengarahkan tool litmus ke file entry npm, pypi, GitHub, atau lokal.
Kategori apa saja yang diuji oleh litmus harness?
Harness ini menjalankan empat kategori probe: tool-output injection, permission/egress, sensitive-data handling, dan adversarial-input handling.
Bisakah saya menggunakan litmus di pipeline CI/CD saya?
Ya, Anda bisa menggunakan GitHub Action polygraph-mcp-gate untuk menghentikan build ketika sebuah MCP server atau Agent Skill mendapatkan grade D atau F.
Apakah proses grading ini aman?
Harness ini menjalankan kode target di dalam lingkungan Docker-sandboxed untuk mengelola keamanan egress.