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Package registry MCP: MCP server, setup and security

Package registry MCP is an open-source MCP server that lets an AI agent search package registries and retrieve current information about software packages. Its repository has 39 stars and its last commit is from December 2, 2025 and it is licensed under MIT.

Score
41/100
Adoption (stars) 16/40
Maintenance 10/30
Framework (licence, registry, official) 15/30
Last commit 11 months ago

What Package registry MCP does

According to its repository: “Search and get up-to-date information about npm, Cargo, PyPI and NuGet packages.”

An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. Package registry MCP is listed under Developer tools, a category of 475 servers in the directory, where it ranks #279 by stars.

Installing and connecting Package registry MCP

No package or remote server is declared in the official MCP registry: you install it from source, following the repository README.

Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: TypeScript. Listed systems: macOS, Windows, Linux.

Security: what to check

An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Package registry MCP. That does not replace reading the code.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on June 19, 2025, the Artmann/package-registry-mcp repository has 39 stars and 11 forks, with 0 open issues. It has more stars than 48% of the servers in the directory. Last change 11 months ago.

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

StorybookStorybook : 91.4K91.4KFront End ChecklistFront End Checklist : 74.6K74.6KTldrawTldraw : 51.1K51.1KCodebase MemoryCodebase Memory : 47.4K47.4KCCXTCCXT : 44.5K44.5KPostHog MCP ServerPostHog MCP Server : 40.4K40.4KClaude task masterClaude task master : 28.3K28.3KAgent Skills Search ServerAgent Skills Search Server : 26.6K26.6KPackage registry MCPPackage registry MCP : 3939
GitHub stars of the most followed servers in the category (log scale); Package registry MCP in orange. Checked October 25, 2026.

Verdict

Package registry MCP is still a modest project: read its code and compare it with the alternatives before using it.

Strengths

  • Permissive licence (MIT)

Limitations

  • No commit for 11 months
  • Install from source

Frequently asked questions

How do I install Package registry MCP?

No package is declared in the MCP registry: clone the Artmann/package-registry-mcp repository, follow its README, then declare the start command in your client's MCP configuration.

Is Package registry MCP free?

The code is published under the MIT licence and can be used free of charge.

Is Package registry MCP safe?

No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.

Is it an official server?

Nothing says so: it is a project published by Artmann on GitHub. Check who maintains it before giving it access.

What are the alternatives to Package registry MCP?

In the same category: Radar Kubernetes MCP Server, Repowise, Jscpd, and Apify MCP server. Radar Kubernetes MCP Server and Repowise score higher on our grid.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score