mcp-proto-okn: Natural-language access to open scientific knowledge graphs through the Model Context Protocol
For biomedical and scientific users, this tool simplifies access to multiple knowledge graphs, but it is an incremental application of existing protocols (MCP) to a specific domain.
The paper presents mcp-proto-okn, a Model Context Protocol server that allows AI assistants to query and integrate scientific knowledge graphs using natural language, lowering the barrier for cross-domain analysis in biomedical and scientific fields.
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.