litmus MCP server
✓ VerifiedGrades MCP servers and agent skills from A to F using a reproducible behavioral harness to detect security vulnerabilities and injection risks.
Also known as polygraphso/litmus, @polygraphso/litmus
- Stars
- 8
- Tools
- —
- Downloads, 30 days
- —
- Latest version
- 0.36.0
- Last commit
- Jul 20, 2026
- License
- Apache-2.0
What is litmus MCP?
litmus grades MCP servers and agent skills from A to F using a reproducible behavioral harness to detect security vulnerabilities and injection risks.
Summary generated from the project's README
About litmus MCP server
Litmus provides a reproducible behavioral harness designed to evaluate the security and reliability of MCP servers and agent skills. It assigns grades from A to F by simulating how an agent interacts with a target, fingerprinting its tool surface, and executing four specific probe categories. These probes test for tool-output injection, permission and egress vulnerabilities, sensitive data handling, and adversarial input resistance.
Developers can use the tool locally via npx to grade npm packages, PyPI references, GitHub repositories, or local entry files. When testing GitHub repositories, Docker is required to provide a sandbox for code execution. For integration into AI workflows, it offers an MCP server that allows clients like Claude to perform grade lookups using tools such as check_server and list_servers. It also functions as a GitHub Action to gate CI/CD pipelines, failing builds if a server or skill falls below a specified minimum grade.
What you can do with it
- 1Verify server security before installationAn AI client can check if a specific MCP server has a published grade to ensure it is safe to use.
- 2Automate security gates in CI/CDDevelopers can prevent insecure MCP servers or agent skills from being deployed by failing builds that receive low grades.
- 3Scan agent skills for prompt injectionPerform a static scan on Claude Code or Agent Skills to detect dangerous commands or data exfiltration instructions.
Written from the project's README. Every use case is checked against a quote from it.
How to install litmus MCP
Formats verified 10 Nov 2026Add to CursorAdd to GooseInstall litmus MCP in Claude Code
$ claude mcp add litmus -- npx -y @polygraphso/litmusInstall litmus MCP in Cursor
~/.cursor/mcp.json
{
"mcpServers": {
"litmus": {
"command": "npx",
"args": [
"-y",
"@polygraphso/litmus"
]
}
}
}Install litmus MCP in VS Code
.vscode/mcp.json
{
"servers": {
"litmus": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@polygraphso/litmus"
]
}
}
}Install litmus MCP in VS Code CLI
$ code --add-mcp '{"name":"litmus","type":"stdio","command":"npx","args":["-y","@polygraphso/litmus"]}'Install litmus MCP in Claude Desktop
claude_desktop_config.json
{
"mcpServers": {
"litmus": {
"command": "npx",
"args": [
"-y",
"@polygraphso/litmus"
]
}
}
}Install litmus MCP in Codex
$ codex mcp add litmus -- npx -y @polygraphso/litmusInstall litmus MCP in Codex config.toml
~/.codex/config.toml
[mcp_servers.litmus] command = "npx" args = ["-y", "@polygraphso/litmus"]
Install litmus MCP in Gemini CLI
$ gemini mcp add -s user litmus npx -- -y @polygraphso/litmusInstall litmus MCP in Gemini settings.json
~/.gemini/settings.json
{
"mcpServers": {
"litmus": {
"command": "npx",
"args": [
"-y",
"@polygraphso/litmus"
]
}
}
}Configuration
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.
| Name | Description | |
|---|---|---|
| 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. |
Automated checks
Ran Nov 14, 2026Full report →Passed our automated checks. That is not a security audit: read the code and give the server the narrowest access it needs. How checks work · What to fix for more points
- Source repository linked and reachablepolygraphso/litmus is public and reachablegithub.com/polygraphso/litmus ↗Pass
- Package names this repository as its source@polygraphso/litmus names polygraphso/litmus as sourcenpmjs.com/package/@polygraphso/litmus ↗Pass
- Build provenance (Sigstore attestation)No build attestation published for this releaseNot checked
- Open source license (OSI)Apache-2.0spdx.org/licenses/Apache-2.0.html ↗Pass
- Commit or release in the last yearLast commit or release 2026-07-20github.com/polygraphso/litmus ↗Pass
- OpenSSF ScorecardNot checked
- Package name not close to a popular packageNo popular package one edit away from @polygraphso/litmusPass
- No critical advisory in the package or its dependencies137 resolved dependencies checked; no critical advisoryosv.dev ↗Pass
- No hidden instructions to the model0 tool descriptions and the README read; no override phrases, credential paths or hidden charactersPass
- Destructive tools are labelledNot checked
- Remote endpoint answers the MCP handshakeEndpoint did not answer initialize: HTTP 404Finding
README
View on 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.
litmus MCP questions
How do I add litmus MCP to Claude Code?
Run claude mcp add litmus -- npx -y @polygraphso/litmus in your terminal. Add --scope user to make it available in every project.
How do I add litmus MCP to Cursor?
Open ~/.cursor/mcp.json and add the server under mcpServers, using the Cursor config shown in the install section above.
How do I grade an MCP server?
You can grade a server in one command using npx by pointing the litmus tool at an npm, pypi, GitHub, or local entry file.
What categories does the litmus harness test?
The harness runs four probe categories: tool-output injection, permission/egress, sensitive-data handling, and adversarial-input handling.
Can I use litmus in my CI/CD pipeline?
Yes, you can use the polygraph-mcp-gate GitHub Action to fail builds when an MCP server or Agent Skill receives a D or F grade.
Is the grading process secure?
The harness runs the target's code within a Docker-sandboxed environment to manage egress security.