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MCP Scorecard

by davidmosiahversion 0.5.1i★ –iRuns on your computer
Registry nameio.github.davidmosiah/mcp-scorecard

Install

Overview

Description from the maker (original English)

Agent-readiness scorecard for any MCP server: 10 checks, 0-100 score, actionable findings.

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

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).
  • The registry lists no key to fill in.

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": {
    "scorecard": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-scorecard"
      ]
    }
  }
}

Run this in your terminal

claude mcp add scorecard -- npx -y mcp-scorecard

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "scorecard": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-scorecard"
      ]
    }
  }
}

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": {
    "scorecard": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "mcp-scorecard"
      ]
    }
  }
}

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.

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 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account davidmosiah, 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 18496 servers in this category
  • Published to the registry more recently than 13% of the other 18496 servers in this category
  • Basic checks equal to or better than 100% of the other 18496 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 MCP Scorecard 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?

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 (0.5.1) 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. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, MIDAS Gen NX / Civil NX

Alternatives

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

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

Spec Driven Development

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

by formulahendryEarly↓ 66/wk★ 440Updated 14 months ago

Runs on your computer

Remote Desktop Commander

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

by desktop-commanderGrowing★ 211Updated 3 days ago

Runs in the cloud✓ desktopcommander.app

MIDAS Gen NX / Civil NX

Read and carefully change the model open in MIDAS Gen NX or Civil NX on this PC.

by Dennis5882Early↓ 1.9K/wkUpdated today

Runs on your computer

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.

mcp-scorecard

Agent-readiness scorecard for any MCP server.

Probes a target over stdio, runs 10 checks, outputs a 0-100 score with itemized findings.


Quick start

# Audit a published npm package

npx -y mcp-scorecard whoop-mcp-unofficial

Audit a GitHub repo (auto-resolves to the published npm package, or local dist)

npx -y mcp-scorecard https://github.com/davidmosiah/whoop-mcp

Audit a local build (entry file or package directory)

npx -y mcp-scorecard /Users/you/Desktop/my-mcp/dist/index.js npx -y mcp-scorecard ./my-mcp # resolves package.json bin/main npx -y mcp-scorecard ./dist/index.js # relative paths work offline

CI gate: fail the build if the score drops

npx -y mcp-scorecard my-mcp --min-score 80

Structured JSON for piping into your own tooling

npx -y mcp-scorecard my-mcp --json

Run scorecard itself as an MCP server (stdio default)

npx -y mcp-scorecard serve

Same server on Streamable HTTP — v2 stateless, loopback only

npx -y mcp-scorecard serve --http

GET http://127.0.0.1:3000/health

POST http://127.0.0.1:3000/mcp (sessionless)

Env for HTTP: MCP_SCORECARD_HOST, MCP_SCORECARD_PORT, MCP_SCORECARD_TRANSPORT=http.

Demo

Real captured run auditing the official MCP reference server @modelcontextprotocol/server-everything — nothing here is hand-edited, this is exactly what the CLI printed:

$ npx -y mcp-scorecard @modelcontextprotocol/server-everything

mcp-scorecard - @modelcontextprotocol/server-everything @2026.1.26

Agent-readiness score: 44/100

  • [PASS] Schema validity (13/13 tools have valid input schema)
  • [FAIL] Tool naming convention (12/13 tools violate snake_case)
  • [FAIL] Privacy modes documented (only 1 tool(s) mention privacy modes)
  • [PASS] Mutation gating (no write tools — n/a)
  • [FAIL] Agent manifest (no agent_manifest tool)
  • [FAIL] Smoke test (no smoke script and no test script)
  • [PASS] Resources advertised (7 resources registered)
  • [PASS] Tool descriptions (avg 88 chars across 13 tools)
  • [FAIL] Annotations (0/13 read tools annotated)
  • [FAIL] Manifest discoverability (no discovery tools)

Details

Tool naming convention
  • Non-snake_case names: get-annotated-message, get-env, get-resource-links, get-resource-reference, get-structured-content, get-sum, get-tiny-image, gzip-file-as-resource, toggle-simulated-logging, toggle-subscriber-updates
Annotations
  • Missing readOnlyHint: echo, get-annotated-message, get-env, get-resource-links, get-resource-reference, get-structured-content, get-sum, get-tiny-image, gzip-file-as-resource, toggle-simulated-logging

Suggested fixes

  • Rename tools to lowercase snake_case (a-z, 0-9, _).
  • Add a privacy_mode parameter (summary | structured | raw) on read tools so agents can request only what they need.
  • Expose a _agent_manifest tool that returns { recommended_first_calls, standard_tools, ... } so agents can self-onboard.
  • Add scripts/smoke-tools.mjs that boots the server via StdioClientTransport and asserts the tool list.
  • Add annotations: { readOnlyHint: true, openWorldHint: false } to every read tool definition.
  • Expose discovery tools so agents can self-onboard: *_agent_manifest, *_data_inventory, *_capabilities, *_connection_status.

The reference server is a feature showcase, not a production integration — a 44 is expected and is exactly why the conventions checks exist. Agent-oriented servers that adopt snake_case naming, a manifest tool, and read-only annotations land in the 80s and 90s.

What it checks

Ten quality dimensions, each scored 0-10. Final score is the sum, capped at 100.

  1. Schema validity - boots the server, lists tools, and validates each tool's inputSchema with ajv. Missing or non-object schemas score zero per tool.
  2. Tool naming convention - rewards a shared prefix and snake_case (e.g. whoop_get_sleep). Mixed case, hyphens, and missing prefixes lose points.
  3. Privacy modes documented - looks for a privacy_mode parameter on any tool, or descriptions that mention summary | structured | raw.
  4. Mutation gating - any tool name matching (set|update|delete|create| pause|resume|enable|disable|cancel|publish|send) must document a gate in its description (Gated by ALLOW_MUTATIONS, requires explicit user intent, dry-run, confirm).
  5. Agent manifest - calls _agent_manifest and checks the response object has recommended_first_calls (non-empty array) AND standard_tools (non-empty array). The probe NEVER persists the payload
  • only field names and lengths are recorded.
  1. Smoke test present - looks for scripts/smoke*.{mjs,js,ts} in the package, or a real test script in package.json (not the npm default echo-and-fail).
  2. Resources advertised - counts what listResources() returns. Zero scores zero; one or two scores 5; three or more scores 10.
  3. Tool descriptions - average description length across all tools. Below 30 chars scores 0; 30-60 scores 5; 60+ scores 10.
  4. Annotations - counts what fraction of read tools (any non-mutation tool) carry annotations.readOnlyHint = true. Score scales linearly.
  5. Manifest discoverability - has any of *_agent_manifest, *_data_inventory, *_capabilities, *_connection_status. Two or more scores 10; exactly one scores 7; none scores 0.

Output format

Markdown (default)
# mcp-scorecard - whoop-mcp-unofficial @0.4.3

Agent-readiness score: 88/100

  • [PASS] Schema validity (28/28 tools have valid input schema)
  • [PASS] Tool naming convention (consistent whoop_ prefix, snake_case)
  • [PASS] Privacy modes documented (privacy_mode parameter on 6 tool(s))
  • [PASS] Mutation gating (no write tools - n/a)
  • [PASS] Agent manifest (recommended_first_calls present, 5 entries)
  • [PASS] Smoke test (scripts/smoke-tools.mjs found)
  • [PASS] Resources advertised (8 resources registered)
  • [PASS] Tool descriptions (avg 142 chars across 28 tools)
  • [WARN] Annotations (20/28 read tools annotated)
  • [PASS] Manifest discoverability (4/4 discovery tools present (agent_manifest, data_inventory, capabilities, connection_status))

Suggested fixes

  • Add annotations: { readOnlyHint: true, openWorldHint: false } to every read tool definition.

_Generated by mcp-scorecard v0.1.0 at 2026-05-23T15:42:11.000Z_

JSON (--json)
{

"target": { "displayName": "whoop-mcp-unofficial", "version": "0.4.3", "serverName": "whoop-mcp", "serverVersion": "0.4.3" }, "totalScore": 88, "checks": [ { "id": "schema_validity", "label": "Schema validity", "score": 10, "status": "pass", "summary": "28/28 tools have valid input schema", "details": [], "fixes": [] } ], "generatedAt": "2026-05-23T15:42:11.000Z", "scorecardVersion": "0.1.0" }

How it probes

The scorecard launches the target MCP server over stdio with MCP_PROBE=1 set on the child's env. Only the MCP SDK's platform-specific runtime environment allowlist (such as PATH and HOME on Unix) is inherited; shell API keys, auth sockets, proxy settings, and code-loading settings such as NODE_OPTIONS are not forwarded. Author hook: if your MCP needs OAuth or other credentials to even list tools, detect this env var and return your tool/resource/prompt manifests anyway. The scorecard expects to be able to read your contract without making any auth-requiring API calls.

Stdio auditing executes the target's code as the current OS user and may call an *_agent_manifest tool. It is not a read-only or idempotent operation and does not sandbox filesystem access, network access, or the target's effects. Audit trusted targets; use a separate isolated environment for untrusted code. MCP_PROBE=1 asks the target to cooperate and cannot enforce these limits.

Privacy model
  • The probe response is never persisted. Only counts and field names are recorded into the in-memory snapshot used by checks.
  • Any string going into the report is run through a redaction pass that replaces values for customer_id, email, phone, access_token, refresh_token, client_secret, developer_token, and api_key with [REDACTED].
  • The scorecard sends no telemetry. Resolving npm/GitHub targets may use the network, hosted URL audits make HTTP requests, and executed stdio targets can make their own network calls. The probe's environment allowlist does not prevent access to credentials stored in files or OS services.

Use cases

  • CI gate - block a PR if the score drops below a threshold: npx -y mcp-scorecard my-mcp --min-score 85.
  • Registry curation - run the audit across a list of MCPs to pick the best-documented and most agent-friendly options for a directory or catalog.
  • Pre-publish self-check - add it to prepublishOnly so you never ship a regressed contract by accident.
  • Comparative review - score two MCPs that ostensibly cover the same API and see which is friendlier to agents.

Limitations

  • Cannot probe MCPs that REQUIRE auth before listTools() returns. If your server is one of these, support the MCP_PROBE env hook so the scorecard can still read your contract.
  • Cannot grade logic correctness - the scorecard only inspects shape, metadata, and discoverability. A server can score 100/100 and still return wrong data.
  • Mutation detection is name-based - if you call a write tool prepare_thing instead of set_thing, the check will miss it. This is intentional: we reward clear naming.

Roadmap

  • v0.2 - rule pack for agent-rules-of-thumb (output shape stability, pagination patterns, error envelope consistency), a perf benchmark (median listTools() latency), and an OAuth probe with a mock token.

Support

Disclaimer

This is a quality audit tool. It does not certify security, privacy, or correctness; it only measures whether a server follows agent-friendly conventions. Always do your own

Only the beginning is shown; read the rest in the repo

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