An MCP server for OpenReview to fetch user papers, specific conference papers (e.g. ICML / ICLR / NeurIPS), parse .pdf files and save them into .json. Can be added to Claude Code to sample ideas from the recent AI/ML/SWE conferences.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"openreview": {
"cwd": "/ABSOLUTE/PATH/TO/openreview-mcp-server",
"env": {
"OPENREVIEW_BASE_URL": "https://api2.openreview.net",
"OPENREVIEW_PASSWORD": "your_password",
"OPENREVIEW_USERNAME": "your_email@domain.com",
"OPENREVIEW_DEFAULT_EXPORT_DIR": "./openreview_exports"
},
"args": [
"-m",
"openreview_mcp_server"
],
"command": "/ABSOLUTE/PATH/TO/openreview-mcp-server/venv/bin/python"
}
}
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A Model Context Protocol (MCP) server that provides access to OpenReview data for research and analysis. This server allows you to search for users, fetch papers, and export research data from major ML conferences (ICML, ICLR, NeurIPS).
No automated test available for this server. Check the GitHub README for setup instructions.
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A Model Context Protocol (MCP) server that provides access to OpenReview data for research and analysis. This server allows you to search for users, fetch papers, and export research data from major ML conferences (ICML, ICLR, NeurIPS).
git clone https://github.com/yourusername/openreview-mcp-server.git
cd openreview-mcp-server
python3 -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
pip install -e .
You'll need your OpenReview account email and password.
Either run cmd+shift+P to open the Command Palette and find MCP settings that will lead you to the mcp.json, or look for:
Cursor: ~/.cursor/mcp.json
Open the MCP configuration file and add the openreview server to the mcpServers section:
{
"mcpServers": {
"openreview": {
"command": "/ABSOLUTE/PATH/TO/openreview-mcp-server/venv/bin/python",
"args": ["-m", "openreview_mcp_server"],
"cwd": "/ABSOLUTE/PATH/TO/openreview-mcp-server",
"env": {
"OPENREVIEW_USERNAME": "your_email@domain.com",
"OPENREVIEW_PASSWORD": "your_password",
"OPENREVIEW_BASE_URL": "https://api2.openreview.net",
"OPENREVIEW_DEFAULT_EXPORT_DIR": "./openreview_exports"
}
}
}
}
Important:
/ABSOLUTE/PATH/TO/openreview-mcp-server with the actual path (e.g., /Users/yourname/workspace/openreview-mcp-server)your_email@domain.com and your_password with your OpenReview credentials/venv/bin/python)Example configuration:
{
"mcpServers": {
"openreview": {
"command": "/Users/john/workspace/openreview-mcp-server/venv/bin/python",
"args": ["-m", "openreview_mcp_server"],
"cwd": "/Users/john/workspace/openreview-mcp-server",
"env": {
"OPENREVIEW_USERNAME": "john@university.edu",
"OPENREVIEW_PASSWORD": "mySecurePassword123",
"OPENREVIEW_BASE_URL": "https://api2.openreview.net",
"OPENREVIEW_DEFAULT_EXPORT_DIR": "./openreview_exports"
}
}
}
}
Completely quit and reopen Cursor for the MCP server to load.
Once configured and Cursor is restarted, you can use natural language to interact with the OpenReview MCP server:
Search for papers:
Search OpenReview for papers about "multimodal tokenization" from ICML 2025, ICLR 2025 and NeurIPS 2025
Get your own papers:
Get my papers from OpenReview using email researcher@university.edu
Export papers with PDFs:
Export papers about "multimodal tokenization" from ICLR 2024, download PDFs and extract text
Get conference papers:
Show me all papers from NeurIPS 2024
The server will automatically: