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Design, art and accessibility · MCP server

Open Library: MCP server, setup and security

Open Library is an open-source MCP server that lets an AI agent search for book information through the Open Library API. Its repository has 99 stars and its last commit is from October 22, 2026 and it is licensed under MIT.

Score
70/100
Adoption (stars) 20/40
Maintenance 30/30
Framework (licence, registry, official) 20/30
Actively maintained

What Open Library does

According to its repository: “Search for book information via the Open Library API.”

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. Open Library is listed under Design, art and accessibility, a category of 95 servers in the directory, where it ranks #32 by stars.

Topics declared by the repository: authors, books, internet-archive, openlibrary, assistants, open-library-api.

Installing and connecting Open Library

Distribution modes declared in the official MCP registry:

  • npm package (Node.js, usually started with npx)

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.

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 Open Library. 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 17, 2025, the 8enSmith/mcp-open-library repository has 99 stars and 25 forks, with 0 open issues. It has more stars than 66% of the servers in the directory. It received changes this month. Version published in the registry: 1.2.6 (October 22, 2026).

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

Next AI Draw.ioNext AI Draw.io : 36.4K36.4KPascal 3D EditorPascal 3D Editor : 25.1K25.1KDavinci resolve MCPDavinci resolve MCP : 3.7K3.7KFigma MCP ServerFigma MCP Server : 2.1K2.1KMeiGen AI Design MCPMeiGen AI Design MCP : 1.8K1.8KTerraVisionTerraVision : 1.7K1.7KMeasureMeasure : 1.4K1.4KFigwrightFigwright : 1.2K1.2KOpen LibraryOpen Library : 9999
GitHub stars of the most followed servers in the category (log scale); Open Library in orange. Checked October 25, 2026.

Verdict

Open Library is a reasonable choice; check the points below before connecting it.

Strengths

  • Active project: recent commit
  • Listed in the official MCP registry
  • Permissive licence (MIT)

Frequently asked questions

How do I install Open Library?

Open Library is distributed as npm package (Node.js, usually started with npx). Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of 8enSmith/mcp-open-library.

Is Open Library free?

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

Is Open Library 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 8enSmith on GitHub. Check who maintains it before giving it access.

What are the alternatives to Open Library?

In the same category: Pascal 3D Editor, Next AI Draw.io, Measure, and TerraVision. Pascal 3D Editor and Next AI Draw.io 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