Programmatic access to cryptology research papers from IACR Cryptology ePrint Archive with search and retrieval features
The IACR Cryptology ePrint Archive MCP Server provides a programmatic interface for the IACR Cryptology ePrint Archive, enabling AI applications such as Claude Desktop, Continue, and Cursor to efficiently retrieve cryptographic research papers. This server acts as a crucial link in the Model Context Protocol (MCP) ecosystem, allowing developers and researchers to integrate cryptographic data seamlessly into their AI workflows.
The IACR Cryptology ePrint Archive MCP Server offers a robust set of features and capabilities that enhance AI application integration. By leveraging MCP, this server ensures secure and efficient access to research papers while maintaining high performance standards.
search_papers
command to find relevant cryptographic research papers.get_paper_details
command to fetch detailed metadata for a specific paper.The IACR Cryptology ePrint Archive MCP Server adheres strictly to the Model Context Protocol (MCP), which defines a standard interface for interacting with various data sources and tools. This implementation ensures consistent behavior across different MCP clients, making it easier to integrate with other AI applications.
graph TD
A[AI Application] -->|MCP Client| B[MCP Protocol]
B --> C[MCP Server]
C --> D[Data Source/Tool]
style A fill:#e1f5fe
style C fill:#f3e5f5
style D fill:#e8f5e8
MCP Client | Resources | Tools | Prompts | Status |
---|---|---|---|---|
Claude Desktop | ✅ | ✅ | ✅ | Full Support |
Continue | ✅ | ✅ | ✅ | Full Support |
Cursor | ❌ | ✅ | ❌ | Tools Only |
To get started, follow these steps to install and configure the IACR Cryptology ePrint Archive MCP Server.
You can easily install this server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install iacr-mcp-server --client claude
Alternatively, you can set up the server manually:
git clone https://github.com/yourusername/iacr-mcp-server.git
cd iacr-mcp-server
npm install
A researcher in the field of cryptography may use the MCP Server to search for recent papers on post-quantum cryptography. They can execute a query like search_papers("post-quantum crypto")
and filter by publication year using year=2023
. This streamlined process saves time and ensures access to the most up-to-date research.
Developers building cryptographic tools can leverage this server to automatically retrieve paper metadata for their applications. For example, they might use the get_paper_details
command to fetch details on a specific post-quantum cryptography protocol and integrate the relevant information into their application's documentation.
The IACR Cryptology ePrint Archive MCP Server is designed to work seamlessly with various MCP clients, including Claude Desktop, Continue, and Cursor. This ensures that developers can easily implement cryptographic research retrieval functionalities in their applications without extensive coding.
This server exhibits high performance when integrated into AI workflows, handling large numbers of queries efficiently while maintaining strong security features.
While no additional configuration is required by default, developers can customize the environment variables as needed. The following example demonstrates how to configure the server using a JSON object in the mcpServers
section:
{
"mcpServers": {
"[server-name]": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-[name]"],
"env": {
"API_KEY": "your-api-key"
}
}
}
}
Q: Can I use this server with other MCP clients?
Q: What security measures are in place for data transmission?
Q: How do I troubleshoot installation issues?
Q: Is API key management a concern for using this server?
Q: Can I customize the search results?
Contributions to this project are welcome! To contribute:
For detailed instructions, refer to the CONTRIBUTING.md file in the repository.
Explore more about the Model Context Protocol (MCP) ecosystem and related resources:
By integrating the IACR Cryptology ePrint Archive MCP Server, developers can significantly enhance their AI applications with secure and efficient access to cryptographic research.
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