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Web SearchOfficialBeginner-friendly
Semantic Scholar MCP
AI-powered academic research database — search papers, find citations, extract key insights, and discover influential research. Purpose-built for scientific literature discovery with contextual recommendations and citation graph analysis.
What is Semantic Scholar MCP?
Semantic Scholar MCP is a Model Context Protocol server published by semanticscholar 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 scientific papers
- Find citation networks
- Discover influential research
How to Use This Server
- 1. Choose your AI clientAdd Semantic 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 publish — 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
- semanticscholar
- Category
- Web Search
- Difficulty
- Beginner-friendly
- Tags
- Semantic ScholarAcademicAI ResearchCitations
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.