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Closeread Verify

by FreeGuy-AIversion 0.1.2i★ –iRuns on your computer
Registry nameio.github.FreeGuy-AI/closeread-verify

Install

Overview

Description from the maker (original English)

A verified dependency-audit verdict any AI agent can call over MCP, not a raw scan.

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

  • PyPIPython’s uv installed (for the uvx 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": {
    "closeread-verify": {
      "command": "uvx",
      "args": [
        "closeread-verify"
      ]
    }
  }
}

Run this in your terminal

claude mcp add closeread-verify -- uvx closeread-verify

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "closeread-verify": {
      "command": "uvx",
      "args": [
        "closeread-verify"
      ]
    }
  }
}

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": {
    "closeread-verify": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "closeread-verify"
      ]
    }
  }
}

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account FreeGuy-AI, 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 32572 servers in this category
  • Published to the registry more recently than 12% of the other 32572 servers in this category
  • Basic checks equal to or better than 100% of the other 32572 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 Closeread Verify 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 (0.1.2) reached the registry 5 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

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

Alternatives

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

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

Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

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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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AvaHR

by avahr.com

Read hiring data and create inactive assessment and questionnaire drafts for human review.

Runs in the cloudUpdated 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.

closeread-verify

A verified dependency-audit verdict any AI agent can call.

A free scanner gives you raw CVEs. closeread-verify gives you the judgment: the verdict checked against the version you actually installed, the one finding that matters, and the exact fix. It runs as an MCP server, so any agent (Claude Code, Cursor, your own) can call it before it ships code and get back a checked answer, not a wall of noise.

Why this and not npm audit

A raw scanner and the agent itself can already produce a list of CVEs. What they cannot manufacture is the *verdict*. closeread-verify is built around the one discipline that separates a real audit from a scan:

  • It reports the INSTALLED version, not the declared floor. ^4.17.0 in a manifest is not what you shipped. The tool resolves the real pinned version from your lockfile and checks *that*, so it does not cry wolf over a caret range you already patched, and does not miss a vulnerable pin a manifest-only scan would wave through.
  • It splits direct vs transitive. The dependency you declared and own (yours to bump) is separated from the one you inherited five levels down. Most scanners flatten these into one undifferentiated list. This one tells you which is which.
  • It surfaces the one finding that matters. Instead of 200 rows, you get a single lead: the highest-severity *direct production* issue, with the exact fix. If the only findings are transitive or dev-only, the lead is honestly null rather than a manufactured headline.
  • It is deterministic and re-checkable. No LLM in the path. Same lockfile in, same verdict out. Advisories are confirmed against OSV.dev. The verdict carries its own basis so a reviewer can re-run it.

That verified artifact, not the raw scan, is the product.

Install

pip install closeread-verify

Python 3.11+. No API key, no account, no source access. Lockfile in, verdict out.

See it in an agent loop

examples/agent_loop.py is a runnable agent that uses closeread-verify as a pre-ship gate: it blocks on a real Flask CVE, applies the named fix, re-checks, and ships. Real MCP over stdio, real OSV advisories, no API key.

python examples/agent_loop.py

Use it as an MCP server

closeread-verify is the stdio command that starts the server:

closeread-verify
Client config

Add it to your MCP client. Claude Code / Cursor style (mcp.json / claude_desktop_config.json):

{

"mcpServers": { "closeread-verify": { "command": "closeread-verify" } } }

If you installed into a specific environment, point at that interpreter instead:

{

"mcpServers": { "closeread-verify": { "command": "python", "args": ["-m", "closeread.mcp_server"] } } }

The three tools

ToolInputUse it when
audit_projectfiles: a {filename: content} mapYou have a real checkout. Pass the manifest and its lockfile together (e.g. package.json + package-lock.json) so the direct-vs-transitive split is recovered. Subdir prefixes like server/package.json are allowed.
audit_dependencieslockfile_content: str, filename: strYou have a single manifest or lockfile and want a one-shot verdict.
audit_repogithub_url: strYou have a public repo URL. It shallow-clones and runs the same audit. Returns an error, never a fabricated result, if the clone fails.

The filename is load-bearing: it routes the content to the right ecosystem parser. Supported lockfiles include package-lock.json, yarn.lock, pnpm-lock.yaml, requirements.txt, poetry.lock, Pipfile.lock, Gemfile.lock, composer.lock, and Cargo.lock.

Example

Calling audit_dependencies on a requirements.txt that pins flask==0.12.0:

{

"source": "lockfile:requirements.txt", "lead": { "summary": "flask@0.12.0 affected by GHSA-562c-5r94-xh97", "severity": "high", "is_direct": true, "dependency_kind": "prod", "location": "requirements.txt:1", "fix": "Update flask to a patched version (see references).", "confidence": 0.9 }, "findings": { "issues": [], "direct": [ { "kind": "dependency", "package": "flask", "severity": "high", "is_direct": true, "versions": ["0.12.0"], "advisories": ["GHSA-562c-5r94-xh97", "GHSA-5wv5-4vpf-pj6m", "GHSA-m2qf-hxjv-5gpq"], "locations": ["requirements.txt:1"], "recommendation": "Update flask to a patched version (see references)." } ], "transitive": [] }, "counts": { "product_critical": 3, "issues": 0, "direct": 1, "transitive": 0 }, "verification": { "basis": "each version is the INSTALLED version resolved from the lockfile, not the declared floor; advisories confirmed via OSV; result is deterministic and re-checkable", "scanner": "closeread SCA (deterministic, no LLM)", "advisory_source": "OSV.dev", "as_of": "2026-06-08T12:00:00+00:00" } }

The agent does not get a scan to interpret. It gets a verdict to act on: bump flask, here is the line, here is why.

The verified-audit primitive for the agent era

Agents are starting to write, review, and ship code on their own. Before an agent opens a PR or green-lights a deploy, it needs an answer to a simple question with a checkable answer: *is anything I depend on known-vulnerable, in the version I actually pinned, and is it mine to fix?* closeread-verify is that primitive. One MCP call, a deterministic verdict, no LLM in the loop to hallucinate a CVE that does not exist or miss one that does.

Scope, honestly

  • Ecosystems: npm/yarn/pnpm, pip/poetry/pipenv, RubyGems, Packagist (Composer), crates.io (Cargo).
  • Deterministic: no LLM, no network beyond OSV.dev advisory lookups.
  • Lockfile-only: it reads manifests and lockfiles. It does not need, request, or transmit your source code.
  • What it is not: this is the free, deterministic dependency-audit tier. It is not a full code review, not a SAST engine, not a license or architecture audit. It does one thing: a verified verdict on your dependencies.

License

MIT. Built by Free Guy.

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