MCP server

Kegg

io.github.pipeworx-io/kegg

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

KEGG REST MCP — Kyoto Encyclopedia of Genes and Genomes.

Website Source

At a glance

Type

MCP server

Publisher

pipeworx.io (verified by the MCP Registry)

Status

Working at last check

Tools

45

Token cost

About 26,873 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http kegg https://gateway.pipeworx.io/kegg/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.kegg]
url = "https://gateway.pipeworx.io/kegg/mcp"

Gemini CLI

{"mcpServers":{"kegg":{"httpUrl":"https://gateway.pipeworx.io/kegg/mcp"}}}

Cursor

{"mcpServers":{"kegg":{"url":"https://gateway.pipeworx.io/kegg/mcp"}}}

VS Code

{"servers":{"kegg":{"type":"http","url":"https://gateway.pipeworx.io/kegg/mcp"}}}

Antigravity

agy mcp add kegg https://gateway.pipeworx.io/kegg/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"kegg","server_url":"https://gateway.pipeworx.io/kegg/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"kegg","server_url":"https://gateway.pipeworx.io/kegg/mcp"}

Tools

• find ~232 tokens
  Search KEGG by keyword. KEGG is the authoritative bioinformatics database for compounds, drugs, diseases, metabolic pathways, genes, and enzymes. Pick a database (compound|drug|disease|pathway|genes|enzyme|glycan|module|ko) and pass a query like "glucose", "aspirin", or "diabetes". Returns matching
• get_entry ~187 tokens
  Fetch a full KEGG flat-file entry by ID and return it as parsed fields plus raw text. IDs look like "C00031" (compound), "hsa00010" (pathway), "D00009" (drug), "K00844" (KO/ortholog), or "ec:1.1.1.1" (enzyme). Parsed fields include ENTRY, NAME, FORMULA, CLASS, PATHWAY, DESCRIPTION, cross-references,
• list_database ~151 tokens
  List all entries in a KEGG database (id + description). Useful for enumerating things like KEGG pathways ("pathway"), drugs ("drug"), or supported organisms ("organism"). Results are capped at 100 with a truncated flag. Keyless.

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• GitHub tools
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