KEGG

KEGG MCP Connector for Claude

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Access the Kyoto Encyclopedia of Genes and Genomes (KEGG) to query genomic, chemical, and systemic functional information directly from your AI agent.

7 tools Official Updated Jun 28, 2026 Official Vinkius Partner

Connect your AI agent to the KEGG (Kyoto Encyclopedia of Genes and Genomes) database, the gold standard for bioinformatics and systems biology. This server enables deep exploration of biological pathways, genomes, and chemical substances through natural language.

What you can do

  • Genomic Exploration — Retrieve detailed information about genes, proteins, and organisms using kegg_get and kegg_list.
  • Pathway Analysis — Map genes to metabolic or signaling pathways and visualize biological systems using kegg_link.
  • Chemical & Drug Data — Search for compounds, glycans, and drugs by keyword, formula, or mass using kegg_find.
  • Drug Interactions — Identify adverse drug-drug interactions (DDI) specifically for clinical and pharmacological research via kegg_ddi.
  • Identifier Conversion — Seamlessly convert between KEGG IDs and outside databases like NCBI, UniProt, and PubChem using kegg_conv.

How it works

  1. Subscribe to this server
  2. Configure your access credentials (if required by your proxy)
  3. Start querying biological data from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Bioinformatics Researchers — automate the retrieval of gene sequences and pathway maps without manual REST calls.
  • Pharmacologists — quickly check drug-drug interactions and chemical properties during drug discovery workflows.
  • Data Scientists — integrate high-quality biological metadata into analysis pipelines directly from the chat interface.
bioinformaticsgenomicsmetabolic-pathwaysdrug-interactionsmolecular-biology

7 tools expose this connector's capabilities to your AI agent.

kegg_conv

Converts KEGG identifiers to/from outside identifiers

kegg_ddi

Finds adverse drug-drug interactions

kegg_find

Finds entries matching a query keyword or chemical data

kegg_get

g., hsa:10458+ece:Z5100). Retrieves database entries in flat-file or specific file formats

kegg_info

g., kegg, pathway, brite, genes, hsa, compound). Displays database release information and statistics

kegg_link

g., pathways linked from human genes). Finds related entries using database cross-references

kegg_list

For pathway/brite, can specify organism/option. Use "organism" to list all KEGG organisms. Obtains a list of entry identifiers and associated names

See how to talk to your AI agent using KEGG.

List all available organisms in the KEGG database.

I'll use `kegg_list` with the 'organism' parameter. I've found thousands of entries, including 'hsa' (Homo sapiens), 'mmu' (Mus musculus), and 'eco' (Escherichia coli). Which one would you like to explore?

Search for compounds with the keyword 'glucose' in the KEGG database.

Running `kegg_find` for 'glucose' in the compound database... I found several entries, including C00031 (D-Glucose) and C00221 (beta-D-Glucose). Would you like the full details for C00031?

Get the full entry details for the human gene hsa:10458.

Fetching data using `kegg_get` for 'hsa:10458'... This gene corresponds to ACSL4 (acyl-CoA synthetase long chain family member 4). It is involved in metabolic pathways like Fatty acid metabolism (hsa00071).

You can use the `kegg_link` tool. Specify 'pathway' as the target_db and the human gene ID (e.g., 'hsa:10458') as the source_db to retrieve all linked biological pathways.

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