ResearchMCP is an AI-powered research assistant that provides access to OpenAlex's database of 250M+ academic papers without requiring an API key. It offers:
Search & Retrieval: Search papers by topic/keywords with optional filters for publication year and result limits, and retrieve full abstracts and metadata using OpenAlex IDs.
Analysis Tools: Extract key claims, findings, research questions, methodology, and conclusions from paper abstracts in structured format.
Comparative Analysis: Compare 2-5 papers simultaneously to identify agreements, contradictions, and consensus across research findings.
Citation Networks: Explore citation relationships to see what papers cite a work and what it references.
Research Gap Finder: Identify unanswered questions, methodological limitations, understudied areas, and emerging research opportunities by analyzing multiple papers.
Key advantages: Live access to up-to-date research, no infrastructure costs (no vector databases or embeddings needed), and cost-effective exploration through Claude Desktop integration.
Click on "Deploy 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., "@ResearchMCP search for recent papers on climate change impacts"
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.
An MCP (Model Context Protocol) server that helps analyze academic papers by fetching research from OpenAlex's database of 250M+ papers.
Search Papers: Search for academic papers by topic/keywords with advanced filtering
Extract Claims: Automatically extract key findings and research claims from papers
Compare Papers: Identify contradictions and consensus across multiple papers
Citation Analysis: Explore citation networks to discover related research
Research Gap Finder: Analyze multiple papers to identify gaps and future research opportunities
Powered by OpenAlex API (millions of papers, no API key needed!)
Related MCP server: OpenAlex MCP Server
search_papersSearch for academic papers on OpenAlex.
Parameters:
query (string, required): Research topic or keywords
max_results (int, optional): Maximum papers to return (default: 5)
year_from (int, optional): Only papers from this year onwards
Example: "Search for papers on transformer models in NLP"
get_paper_abstractGet the full abstract for a specific paper.
Parameters:
paper_id (string, required): OpenAlex paper ID from search results
Example: "Get abstract for paper W2964027837"
extract_claimsExtract key claims and findings from a paper's abstract.
Parameters:
paper_id (string, required): OpenAlex paper ID
Returns: Structured extraction of research questions, methodology, findings, and conclusions
Example: "Extract claims from paper W2964027837"
compare_papersCompare claims across multiple papers to find contradictions and consensus.
Parameters:
paper_ids (string, required): Comma-separated list of paper IDs (2-5 papers)
Returns: Comparative analysis showing agreements, contradictions, and research gaps
Example: "Compare these papers: W2964027837, W3177828909, W2123456789"
get_citationsGet citation network for a paper - see what cites it and what it references.
Parameters:
paper_id (string, required): OpenAlex paper ID
direction (string, optional): "cited_by", "references", or "both" (default: "both")
max_results (int, optional): Maximum citations per direction (default: 10)
Returns: Lists of papers that cite this work and papers it references
Example: "Show me the citation network for W2964027837"
find_research_gapsAnalyze multiple papers on a topic to identify research gaps and unanswered questions.
Parameters:
query (string, required): Research topic to analyze
num_papers (int, optional): Number of papers to analyze (default: 5, max: 10)
Returns: Comprehensive gap analysis including:
Unanswered research questions
Methodological limitations
Understudied areas
Contradictions requiring further investigation
Emerging research opportunities
Example: "Find research gaps in transformer architecture optimization"
Clone the repository:
git clone https://github.com/YOUR_USERNAME/ResearchMCP.git
cd ResearchMCPDeploy to FastMCP Cloud:
fastmcp deploySet the entrypoint as: src/server.py
Connect to Claude Desktop by adding to your MCP settings
# Clone the repository
git clone https://github.com/YOUR_USERNAME/ResearchMCP.git
cd ResearchMCP
# Install dependencies
uv sync
# Run the server
uv run src/server.pyOnce deployed or running locally, you can use natural language prompts in Claude Desktop:
Search for papers:
"Search for recent papers on quantum computing"
"Find papers about CRISPR gene editing from 2020 onwards"
Analyze specific papers:
"Extract the key claims from paper W2964027837"
"Get the abstract for paper W3177828909"
Compare research:
"Compare these papers: W2964027837, W3177828909"
"What do these papers agree and disagree on?"
Explore citations:
"Show me what papers cite W2964027837"
"What papers does W2964027837 reference?"
Find research gaps:
"Find research gaps in transformer architecture optimization"
"What are the unanswered questions in climate change modeling?"
ResearchMCP uses a clean separation of concerns architecture:
server.py: MCP server that defines tools available to Claude Desktop
paper_fetcher.py: Worker class handling all OpenAlex API interactions
This design pattern ensures:
Clean code organization
Easy maintenance and testing
Separation between tool orchestration and API logic
FastMCP: Python framework for building MCP servers
OpenAlex API: Access to 250M+ academic papers with no API key required
httpx: Modern async-capable HTTP client
Python 3.12+: Type hints and modern Python features
Traditional RAG systems require:
Pre-indexing large document collections
Vector database setup and maintenance
Embedding generation costs
Limited to pre-indexed documents
ResearchMCP with MCP:
Live access to 250M+ papers without pre-indexing
No infrastructure - no vector databases needed
Always up-to-date - accesses latest published research
Cost-effective - no embedding generation costs
Tool orchestration - Claude intelligently chains multiple API calls
Contributions are welcome! Feel free to submit issues or pull requests.
MIT License - feel free to use this project for your research needs!
Compare claims across multiple papers to find contradictions and consensus.
Args: paper_ids: Comma-separated list of OpenAlex paper IDs (e.g., "W123,W456,W789")
Returns: Abstracts from all papers for comparison analysis
Inputs: paper_ids (required). Returns: result
Extract key claims and findings from a paper's abstract.
Args: paper_id: The OpenAlex paper ID
Returns: Structured list of claims extracted from the paper
Inputs: paper_id (required). Returns: result
Analyze multiple papers on a topic to identify research gaps and unanswered questions.
Args: query: Research topic to analyze num_papers: Number of papers to analyze (default: 5, max: 10)
Returns: Analysis of research gaps, limitations, and future research directions
Inputs: query (required), num_papers. Returns: result
Get citation network for a paper - see what cites it and what it cites.
Args: paper_id: The OpenAlex paper ID direction: "cited_by" (papers citing this), "references" (papers this cites), or "both" max_results: Maximum number of citations to return per direction (default: 10)
Returns: Citation network information with paper details
Inputs: paper_id (required), direction, max_results. Returns: result
Get the full abstract for a specific paper.
Args: paper_id: The OpenAlex paper ID (from search_papers results)
Returns: The paper's abstract text with title and metadata
Inputs: paper_id (required). Returns: result
Search for academic papers on OpenAlex based on a query.
Args: query: The research topic or keywords to search for max_results: Maximum number of papers to return (default: 5) year_from: Only include papers from this year onwards (optional)
Returns: A formatted string with paper details including titles, authors, citations, and URLs
Inputs: query (required), max_results, year_from. Returns: result
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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Scored across 6 tools
Each tool has a clearly distinct purpose with no overlap: compare_papers analyzes multiple papers for contradictions, extract_claims processes individual paper content, find_research_gaps identifies gaps across papers, get_citations handles citation networks, get_paper_abstract retrieves single paper metadata, and search_papers finds papers by query. The descriptions clearly differentiate their functions, eliminating any ambiguity.
All tool names follow a consistent verb_noun pattern using snake_case: compare_papers, extract_claims, find_research_gaps, get_citations, get_paper_abstract, and search_papers. The verbs (compare, extract, find, get, search) are appropriate and distinct, creating a predictable and readable naming convention throughout the set.
With 6 tools, this server is well-scoped for academic research assistance. Each tool earns its place by covering essential research workflows: searching papers, retrieving abstracts, extracting claims, comparing papers, analyzing gaps, and exploring citations. This count is neither too sparse nor bloated, fitting the domain perfectly.
The tool set covers core research workflows comprehensively, including search, retrieval, analysis, and comparison. Minor gaps exist, such as no tools for saving/bookmarking papers or tracking research progress, but agents can work around these. The surface supports end-to-end research tasks without dead ends.
Academic literature search, retrieval, and private library management on top of OpenAlex.
Search 250M+ academic works, citation graphs, DOIs, and institutional research via OpenAlex.
Search OpenAlex for paper titles, DOIs, years, citation counts and open-access flags
OpenAlex academic papers, authors and citations search via the official API. Runs on Apify.
