openpaper-mcp
Generate academic research papers from any topic using the OpenPaper API. Retrieves real citations from academic databases and produces citation-grounded papers in PDF, DOCX, and structured JSON formats.
README
<!-- mcp-name: io.github.federicodeponte/openpaper-mcp -->
OpenPaper MCP Server
Generate fully-cited academic research papers from Claude Desktop or any MCP client.
OpenPaper uses 18 specialized AI agents to search 500M+ academic sources (OpenAlex, Crossref, Semantic Scholar) and write thesis-level papers with every citation linked to a real publication.
Setup
1. Get your API token
- Go to openpaper.dev and sign in
- Open DevTools → Network tab
- Click any request → find the
Authorizationheader - Copy the value after
Bearer— that's your token
2. Install dependencies
pip install mcp httpx
3. Configure Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"openpaper": {
"command": "python",
"args": ["/path/to/openpaper-mcp/server.py"],
"env": {
"OPENPAPER_API_TOKEN": "your-token-here"
}
}
}
}
Tools
start_paper_generation
Start generating a paper. Returns a generation_id immediately.
Generate a graduate-level paper on "The neurobiological basis of PTSD"
using APA 7th citation style, 20-30 pages
check_paper_status
Poll for progress and get download links when done.
Check the status of generation abc123
list_my_papers
See all your previous papers with download links.
List my last 5 papers
Example workflow
User: Write a paper on the impact of social media on adolescent mental health
Claude: [calls start_paper_generation("impact of social media on adolescent mental health")]
→ Generation started (ID: abc123). Checking back in a few minutes...
[later]
Claude: [calls check_paper_status("abc123")]
→ Status: processing, phase: writing, 65% complete
[later]
Claude: [calls check_paper_status("abc123")]
→ Status: completed! PDF: https://... DOCX: https://...
Credits
Papers cost 1-3 credits depending on length:
- 5-30 pages: 1 credit
- 30-50 pages: 2 credits
- 50-60 pages: 3 credits
New accounts get free credits. Buy more at openpaper.dev.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.