Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
A verified dependency-audit verdict any AI agent can call over MCP, not a raw scan.
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
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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-verifyPaste 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.
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.
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Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account FreeGuy-AI, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed –, and the latest version (0.1.2) reached the registry 5 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, AvaHR
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Read hiring data and create inactive assessment and questionnaire drafts for human review.
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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.
npm auditA 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:
^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.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.That verified artifact, not the raw scan, is the product.
pip install closeread-verify
Python 3.11+. No API key, no account, no source access. Lockfile in, verdict out.
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
closeread-verify is the stdio command that starts the server:
closeread-verify
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"] } } }
| Tool | Input | Use it when |
|---|---|---|
audit_project | files: a {filename: content} map | You 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_dependencies | lockfile_content: str, filename: str | You have a single manifest or lockfile and want a one-shot verdict. |
audit_repo | github_url: str | You 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.
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.
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.
MIT. Built by Free Guy.