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Litmus

作者:polygraphso版本 0.36.0i★ –i电脑或云端
注册名称io.github.polygraphso/litmus

安装

概览

作者提供的说明(英文原文)

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

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在作者的服务器上运行:你向它提出的内容会经过他们的服务器。
  • 需要你自己填写: POLYGRAPH_API_URL, NEXT_PUBLIC_POLYGRAPH_NETWORK

你需要

  • 在云端运行无需安装任何东西,通过互联网连接
  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://polygraph.so/api/mcp

或者在你的电脑上运行

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 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"
      }
    }
  }
}

在终端中运行这条命令

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

或者在你的电脑上运行

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

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

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

或者在你的电脑上运行

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.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"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "litmus": {
      "type": "http",
      "url": "https://polygraph.so/api/mcp"
    }
  }
}

或者在你的电脑上运行

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "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"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

ChatGPT 只能连接互联网上的服务器:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://polygraph.so/api/mcp

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • 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).

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 polygraphso 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    端点有响应

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    使用 OAuth 登录

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32451 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32451 个服务器的 18% 更新
  • 基础检查结果等于或优于此分类中其他 32451 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Litmus 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

两种方式都可以:安装在你的电脑上,或者连接云端版本。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.36.0)于4个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, Recta

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Spec Driven Development

作者:formulahendry

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

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

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

在云端运行★ 211昨天更新
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Recta

作者:RectaBuild

Cheaper cross-chain stablecoin routes for AI agents; 5 % of the verified saving, nothing if none.

在云端运行今天更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

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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