FRENES

Web search and extraction · MCP server

Baseline MCP server: MCP server, setup and security

Baseline MCP server is an open-source MCP server published on GitHub that lets an AI agent look up Baseline status using data from the Web Platform API. Its repository has 37 stars and its last commit is from October 21, 2026 and it is licensed under MIT.

Score
61/100
Adoption (stars) 16/40
Maintenance 30/30
Framework (licence, registry, official) 15/30
Actively maintained

What Baseline MCP server does

According to its repository: “Search Baseline status using the Web Platform API.”

The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. Baseline MCP server is listed under Web search and extraction, a category of 159 servers in the directory, where it ranks #74 by stars.

Topics declared by the repository: baseline, deno.

Installing and connecting Baseline MCP server

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

It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: TypeScript.

Security: what to check

Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Baseline MCP server. 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 April 12, 2025, the yamanoku/baseline-mcp-server repository has 37 stars and 6 forks, with 3 open issues. It has more stars than 47% of the servers in the directory. It received changes this month.

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

WigoloWigolo : 5.5K5.5KExa MCP serverExa MCP server : 5.2K5.2KJobSpyJobSpy : 4.6K4.6KTolgeeTolgee : 4.1K4.1KArxiv MCP serverArxiv MCP server : 3.2K3.2KTrieveTrieve : 2.7K2.7KTavily MCPTavily MCP : 2.5K2.5KOpen webSearchOpen webSearch : 1.9K1.9KBaseline MCP serverBaseline MCP server : 3737
GitHub stars of the most followed servers in the category (log scale); Baseline MCP server in orange. Checked October 25, 2026.

Verdict

Baseline MCP server is a reasonable choice; check the points below before connecting it.

Strengths

  • Active project: recent commit
  • Permissive licence (MIT)

Limitations

  • Install from source

Frequently asked questions

How do I install Baseline MCP server?

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

Is Baseline MCP server free?

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

Is Baseline MCP server 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 yamanoku on GitHub. Check who maintains it before giving it access.

What are the alternatives to Baseline MCP server?

In the same category: Exa MCP server, Brave search MCP server, Arxiv MCP server, and JobSpy. Exa MCP server and Brave search MCP server score higher on our grid.

Related articles

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