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  1. Home
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  3. Vet
Vet logo
Health: ActiveRecent health check succeeded.Last checked 9/7/2026, 1:46:44 AM

Vet

User RatingsBe the first to rate and review this MCP server!
View Repository1.1k GitHub StarsTotal stargazers on GitHub for the source repository (1,103 stars).Visit Website
securitydependenciesmalware-detectionnpmpypi

Locally vets npm and PyPI packages for known vulnerabilities and malicious code through an MCP interface.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON â–¾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for safedep/vet, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing Alternatives🔒 More in Security

Overview

The safedep/vet MCP server checks open source packages for vulnerabilities and malicious code, with support for npm and PyPI. It runs locally through Docker or as a standalone binary, allowing AI coding tools to request package checks without sending execution to a hosted service. Reach for it when an agent suggests a dependency and you want an automated security check before adding it to a project. The provided material does not document specific MCP client configurations or tool names.

Use cases

•Check AI-suggested npm dependencies before installation
•Vet proposed PyPI packages during code generation
•Block known malicious packages from agent workflows
•Run local dependency checks without a hosted MCP endpoint

Key features

•npm package vetting
•PyPI package vetting
•Vulnerability checks
•Malicious package detection
•Local Docker or standalone execution

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Vet.

Extracted Tool Capabilities
npm package vetting
PyPI package vetting
Vulnerability checks
Malicious package detection
Local Docker or standalone execution

How Vet works

What safedep/vet MCP server does

The safedep/vet MCP server gives AI-assisted development workflows a way to vet open source packages before they are adopted. Its documented package coverage includes npm and PyPI. Checks focus on two concerns: known vulnerabilities and malicious code associated with a package.

This is useful when an AI coding tool recommends a dependency, generates a package manifest, or proposes adding a library to an existing project. The server can provide a local security checkpoint before the dependency is installed or merged. The available material describes the server at a capability level but does not list the names, parameters, or return formats of individual MCP tools.

How it works

The safedep/vet MCP server runs locally rather than requiring a hosted MCP endpoint. The repository describes local execution through Docker or a standalone binary. Its underlying vet project queries SafeDep threat intelligence for package security information. Malware-query checks are described as looking up packages in SafeDep’s known malicious-package database; the README states that this lookup does not require an API key.

The broader vet project also supports vulnerability analysis and security policy evaluation through its command-line workflow. However, the supplied MCP documentation excerpt does not establish which of those CLI features are exposed through MCP, so they should not be assumed to be available as server tools.

Setup and configuration

The source material identifies two local deployment options: run the server in Docker or use a standalone binary. The repository also provides installation methods for the broader vet CLI, including Homebrew, npm, Go installation, direct binaries, and a container image. Those commands are not sufficient evidence of the exact MCP server launch command, so an MCP client configuration should use the project’s dedicated MCP documentation rather than copying a generic vet CLI command.

No required environment variables, API keys, or client-specific settings are identified in the provided material. The README specifically says that querying known malicious packages with vet scan --malware-query needs no API key, but this does not document every possible configuration for the MCP server.

Tools and capabilities

Based on the supplied description, the safedep/vet MCP server supports:

  • Checking npm packages for vulnerabilities.
  • Checking PyPI packages for vulnerabilities.
  • Detecting packages listed as malicious.
  • Running locally with Docker or a standalone binary.
  • Supporting automated package vetting from AI coding workflows.

The main vet project additionally lists Maven, Go, Ruby, Rust, and PHP packages, Docker and OCI images, SBOMs, and source repositories as supported inputs. The supplied MCP-specific material only confirms npm and PyPI, so the broader input list should not be treated as MCP coverage.

Limitations and notes

Some security features in the wider vet product depend on SafeDep Cloud. In particular, the README says zero-day malware detection through active static and dynamic behavioral analysis requires SafeDep Cloud access. The README also says active on-demand malware scanning has been retired in favor of querying the threat intelligence database. For the MCP server, the material confirms package vetting but does not clarify whether cloud-backed enrichment, policy filters, reporting formats, or CI integrations are exposed.

The provided information does not name compatible MCP clients, specify an MCP transport, or give an exact server startup command. Verify those details in the repository’s MCP documentation before configuring an agent.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
1.1k
Stargazers on the source repository.
Last commit
8d ago
Most recent push to the default branch.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Vet

The provided material says it can run locally through Docker or as a standalone binary, but it does not provide the exact MCP server installation or launch command.

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Technical Specs & Signals

Category🔒Security
PricingFree
More technical detailsExpand â–¾
AuthAPI key
LicenseApache-2.0
ClientsWindsurf, Cline / VS Code
Last updatedSep 7, 2026
9/10 checks healthy over the last 31d
Views3
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars1,103
GitHub Star CountTotal stargazers on GitHub representing community popularity (1,103 stars).
Last commit8d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 3, 2026
53Quality signal: Good · 53/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools20/30
Adoption & activity10/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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