mcp-scholaris
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-scholarissearch for papers on reinforcement learning"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
# mcp-scholaris
An MCP server for retrieving academic papers from open access sources. Provides search across arXiv, Semantic Scholar, and PubMed, with full text retrieval via arXiv PDFs, PubMed Central (BioC API), and Unpaywall. No paywalls, no grey area — legitimate open access only.
Installation
pip install mcp-scholarisRelated MCP server: Academic MCP
Tools
search_papers
Search for academic papers by topic, author, or keyword.
Parameters:
query(required) — search termssources(optional) — list of sources to search:arxiv,semantic_scholar,pubmed. Defaults to all three.max_results(optional) — maximum results per source. Defaults to 5.
fetch_paper
Fetch the full text of a paper. Tries open access sources in order: arXiv → PubMed Central → Unpaywall. Provide at least one identifier.
Parameters:
arxiv_id— e.g.2301.00001orarxiv:2301.00001pubmed_id— PubMed ID (PMID), e.g.36383508doi— e.g.10.1371/journal.pone.0276755
Configuration
Semantic Scholar works without an API key but is rate-limited. For higher limits, create a .env file in your working directory:
SEMANTIC_SCHOLAR_API_KEY=your_key_hereAPI keys are free at semanticscholar.org.
Usage with an MCP client
Add to your MCP client configuration:
{
"mcpServers": {
"scholaris": {
"command": "scholaris"
}
}
}Or run directly:
scholarisThe server communicates over stdio using the MCP protocol (JSON-RPC 2.0).
Sources
Source | Search | Full Text |
arXiv | ✓ | |
Semantic Scholar | ✓ | ✓ when OA PDF available |
PubMed | ✓ | ✓ via BioC API (PMC articles) |
Unpaywall | — | ✓ for any DOI with OA version |
License
MIT
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