mcpField
K
Kegg

Kegg

Remote
pipeworx.ioScience & Education0Updated 1d ago

About Kegg

Kegg MCP connects clients to the Kyoto Encyclopedia of Genes and Genomes (KEGG) for bioinformatics queries and research. It supports keyword searches, detailed entry retrieval, and database listings.

Key features

  1. 01Search KEGG databases by keyword
  2. 02Retrieve parsed entry fields and raw text
  3. 03List database entries and descriptions
  4. 04Cover compounds, diseases, pathways, and more

Use cases

  1. 01Find a particular compound or drug
  2. 02Look up genes and metabolic pathways
  3. 03Review cross-references in KEGG entries
  4. 04Enumerate drugs or supported organisms

MCP support

As an MCP server, it exposes KEGG search, entry retrieval, and database listing tools to clients. It can connect through the Pipeworx gateway or run as a local stdio MCP server.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://gateway.pipeworx.io/kegg/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project README

mcp-kegg

KEGG REST MCP — Kyoto Encyclopedia of Genes and Genomes.

Part of Pipeworx — an MCP gateway connecting AI agents to 1882+ live data sources. This is an independent, unofficial integration — not affiliated with, endorsed by, or published by the upstream provider.

Tools

ToolDescription
findSearch 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 KEGG IDs with descriptions. Keyless.
get_entryFetch 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, and more. Use find first to discover IDs. Keyless.
list_databaseList 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.

Quick Start

Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):

{
  "mcpServers": {
    "kegg": {
      "url": "https://gateway.pipeworx.io/kegg/mcp"
    }
  }
}
What this endpoint actually serves

tools/list at https://gateway.pipeworx.io/kegg/mcp returns the tools in the table above plus the shared Pipeworx meta-tools — ask_pipeworx, discover_tools, search_within, remember/recall and the rest of the gateway-wide set. So the tool count you see is larger than this table: a single-pack endpoint currently lists roughly 30 shared tools alongside the pack's own. The connection's initialize response states its exact scope, and is the authoritative answer for a given day.

This is deliberate, not multiplexing by accident. The meta-tools are what let a scoped connection answer a question this pack does not cover — via ask_pipeworx, which routes across the whole catalog — without you adding a second MCP server. There is currently no way to mount a pack endpoint without them; if the extra schemas cost you more context than the routing is worth, connect to the full gateway once rather than to several pack endpoints.

Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:

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

Both URLs reach the same gateway and the same 1882+ data sources. The only difference is which pack's tools are listed directly; ask_pipeworx reaches all of them from either one.

No MCP client? Call it over HTTP

curl -X POST https://gateway.pipeworx.io/v1/tools/find \
  -H 'Content-Type: application/json' \
  -d '{"database":"compound","query":"glucose"}'

No account needed for the first calls. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/find. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.

Standalone (no gateway account)

This package also runs as a local stdio MCP server — no Pipeworx account, no gateway round-trip:

{
  "mcpServers": {
    "kegg": {
      "command": "npx",
      "args": ["-y", "@pipeworx/mcp-kegg"]
    }
  }
}

Or run it directly to confirm it starts:

npx -y @pipeworx/mcp-kegg

It speaks MCP over stdin/stdout and answers initialize/tools/list/tools/call for only this pack's tools — none of the shared meta-tools the gateway connection above adds. Same source, same tools, no ask_pipeworx routing.

Using with ask_pipeworx

Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:

ask_pipeworx({ question: "your question about Kegg data" })

The gateway picks the right tool and fills the arguments automatically.

More

License

MIT

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.