mcp-proto-okn: Natural-language access to open scientific knowledge graphs through the Model Context Protocol
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arXiv
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| Main Authors: | , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2026
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| Online Access: | |
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| _version_ | 1866911728666673152 |
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| author | Rose, Peter W. Good, Benjamin M. Saravia-Butler, Amanda M. Nelson, Charlotte A. Balhoff, James P. Kebede, Yaphet Whetzel, Patricia L. Bizon, Christopher Su, Andrew I. Baranzini, Sergio E. |
| author_facet | Rose, Peter W. Good, Benjamin M. Saravia-Butler, Amanda M. Nelson, Charlotte A. Balhoff, James P. Kebede, Yaphet Whetzel, Patricia L. Bizon, Christopher Su, Andrew I. Baranzini, Sergio E. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_30283 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | mcp-proto-okn: Natural-language access to open scientific knowledge graphs through the Model Context Protocol Rose, Peter W. Good, Benjamin M. Saravia-Butler, Amanda M. Nelson, Charlotte A. Balhoff, James P. Kebede, Yaphet Whetzel, Patricia L. Bizon, Christopher Su, Andrew I. Baranzini, Sergio E. Artificial Intelligence Emerging Technologies 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. |
| title | mcp-proto-okn: Natural-language access to open scientific knowledge graphs through the Model Context Protocol |
| topic | Artificial Intelligence Emerging Technologies |
| url | https://arxiv.org/abs/2605.30283 |