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Access and combine biomedical RDF and API data through AI-friendly queries.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "TogoMCP" yet — see the docs or source repo.
Use TogoMCP to find biological pathways related to TP53, prioritizing Reactome, UniProt, and NCBI data. Return pathway names, source databases, identifiers, and brief descriptions.
A consolidated list of TP53-related pathways with sources, IDs, and short annotations.
Using TogoMCP, retrieve known structure information for the BRCA1 protein from PDB and UniProt, including structure entries, experimental methods, resolution, and related functional notes.
Protein structure results organized by entry, with methods, resolution, and functional notes.
Use TogoMCP to query known targets and related enzyme information for aspirin, integrating data from ChEMBL, Rhea, and MeSH, and summarize the main mechanisms of action.
A summary of aspirin target and enzyme relationships with a concise mechanism-of-action overview.
Query biomedical and pharma APIs for trials, drugs, molecules, and literature.
Search ChEMBL bioactivity data and compound properties from Claude or ChatGPT.
Connect AI to life science databases and tools for bioinformatics workflows.
Enable AI to query knowledge graphs via SPARQL and return structured results.
Query and retrieve data across GitHub, Neo4j, PostgreSQL, and Milvus.
Query AlphaFold and biomedical sources through a local knowledge graph.