DeepResearcher MCP Server
Supercharge Claude, Cursor, and AI agents with real-time academic paper search, citation checking, and structured literature synthesis.
{
"mcpServers": {
"deepresearcher": {
"command": "npx",
"args": ["-y", "@deepresearcher/mcp-server"],
"env": {
"DEEPRESEARCH_API_KEY": "your_api_key_here"
}
}
}
}Paper Discovery
Query 200M+ open-access papers, preprints, and PubMed records directly from your editor.
Citation Audit
Validate AI hallucinations against peer-reviewed citations before submitting your manuscript.
Structured Synthesis
Request 20-source comparative reviews formatted directly into Markdown or LaTeX.
What is Model Context Protocol (MCP) in Scientific Research?
The Model Context Protocol (MCP) is an open protocol introduced by Anthropic that standardizes how generative AI models connect with external datasets, developer tools, and scholarly repositories. In research workflows, MCP allows local Large Language Models (LLMs) to reliably query live academic search engines instead of relying solely on pre-trained cutoff knowledge.
Why Academic Researchers Need an MCP Connector
- Zero Hallucination Literature Reviews: Ground every sentence in real DOI-backed papers.
- Real-time 2026 Preprints: Access arXiv, bioRxiv, and medRxiv papers published within the last 24 hours.
- Seamless Zotero & LaTeX Workflow: Pipe citation bibtex keys straight into your local Overleaf or VS Code setup.
Want to test DeepResearcher without coding?
Use our web interface to test research queries, see real-task scoring, and generate full outlines with 20+ citations.
Try Web Research Tool