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Google Scholar MCP
Search Google Scholar for academic literature — find papers by topic, author, or publication, retrieve citation counts, and track research impact across disciplines for comprehensive scholarly research.
What is Google Scholar MCP?
Google Scholar MCP is a Model Context Protocol server published by google-scholar that lets AI assistants interact with web search services. Once configured, your assistant can call its connected tools in natural language instead of you hand-writing every request against the underlying API.
What Can You Do With It?
- Search academic papers
- Find citation metrics
- Track research by author
How to Use This Server
- 1. Choose your AI clientAdd Google Scholar MCP to an MCP-compatible assistant (Claude, Cursor, VS Code, or any client listed in the official MCP docs).
- 2. Install the serverFollow the install instructions below. Most servers install with a package manager in a few minutes and need only an API key or a local credential.
- 3. Add it to your configurationWrite the server block into your client's config file exactly as the official docs recommend — including any arguments, environment variables, and path fields.
- 4. Start askingRestart your client and describe the task in natural language — the assistant uses the server's tools against your real data and services.
Server Specs
- Publisher
- google-scholar
- Category
- Web Search
- Difficulty
- Beginner-friendly
- Tags
- Google ScholarAcademicCitationsResearch
Get It Set Up
Security note: MCP servers run with the credentials you give them. Only install servers you trust, review tool lists before enabling them, and use scoped credentials (read-only tokens where possible). Axonix is an independent directory, not the publisher of this server.