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The paper introduces mcp-proto-okn, a Model Context Protocol (MCP) server implemented in Python, designed to facilitate natural language access to scientific knowledge graphs for AI assistants. It leverages the FastMCP framework to offer functionalities like graph routing, schema inspection, SPARQL execution, and multi-graph querying. By enabling AI assistants to seamlessly interact with and integrate diverse scientific knowledge graphs, mcp-proto-okn lowers the barrier to cross-domain knowledge graph analysis.
Unlock the power of scientific knowledge graphs for your AI assistant with a new tool that speaks its language.
MCP Server Proto-OKN (mcp-proto-okn) is a Python-based Model Context Protocol server that enables AI assistants to discover, inspect, query and integrate scientific knowledge graphs through natural language. The server provides graph routing, schema inspection, SPARQL execution, ontology expansion, multi-graph querying, and transcript generation, lowering the barrier to cross-domain knowledge graph analysis for biomedical and scientific users. mcp-proto-okn is implemented in Python using the FastMCP framework and is available at https://github.com/sbl-sdsc/mcp-proto-okn. Documentation, client configuration instructions, and example analysis transcripts are provided in the GitHub repository.