Scientific research · MCP server
Scholar MCP: MCP server, setup and security
Scholar MCP is an open-source MCP server that lets an AI agent search academic papers and read full texts with citation graphs. Its repository has 5 stars and its last commit is from October 8, 2026 and it is licensed under Apache-2.0.
| Adoption (stars) | 7/40 | |
|---|---|---|
| Maintenance | 30/30 | |
| Framework (licence, registry, official) | 20/30 |
What Scholar MCP does
According to its repository: “Federated academic search across OpenAlex, Semantic Scholar, arXiv, PubMed and more, with citation graphs, full-text reading, PDFs and a local paper library.”
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. Scholar MCP is listed under Scientific research, a category of 35 servers in the directory, where it ranks #32 by stars.
Topics declared by the repository: academic-search, paper-search, research-tools, citation-graph, deep-research, literature-review.
Installing and connecting Scholar MCP
Distribution modes declared in the official MCP registry:
- PyPI package (Python, started with
uvxorpip)
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: Python. Listed systems: macOS, Windows, Linux.
The registry lists 9 secret variables to provide (API key, access token). Keep them in the client's environment variables, never in a shared file or a repository.
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.
Points found for Scholar MCP:
- Secrets: the server acts with your credentials. Create a dedicated key with minimum rights and an expiry date.
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 March 15, 2026, the Liyux3/scholar-mcp repository has 5 stars and 1 forks, with 2 open issues. It has more stars than 13% of the servers in the directory. It received changes this month. Version published in the registry: 0.8.5 (October 7, 2026).
Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.
Verdict
Scholar MCP is a reasonable choice; check the points below before connecting it.
Strengths
- Active project: recent commit
- Listed in the official MCP registry
- Permissive licence (Apache-2.0)
Limitations
- Requires an API key or token
- Few visible users
Avoid if…
- You do not want to give credentials to an agent
Alternatives
- Zotero MCP (54yyyu)5.5K ★
- ToolUniverse1.8K ★
- Idea reality MCP828 ★
- Research toolkit299 ★
- Paper preflight100 ★
- OmniSeek95 ★
Learn more
Frequently asked questions
How do I install Scholar MCP?
Scholar MCP is distributed as PyPI package (Python, started with uvx or pip). Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of Liyux3/scholar-mcp.
Is Scholar MCP free?
The code is published under the Apache-2.0 licence and can be used free of charge. It needs an API key: the service it connects to may be paid.
Is Scholar MCP safe?
Points to watch: secrets. Give it minimum rights and approve sensitive actions.
Is it an official server?
Nothing says so: it is a project published by Liyux3 on GitHub. Check who maintains it before giving it access.
What are the alternatives to Scholar MCP?
In the same category: Zotero MCP (54yyyu), ToolUniverse, Idea reality MCP, and Research toolkit. Zotero MCP (54yyyu) and ToolUniverse 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