How to Use the KEGG MCP in Cline

Q: Can I use KEGG and Cline to automate pathway discovery?

Yes. Cline can chain kegglist and kegglink to build a complete map of related genes and pathways. It writes the code to process these relations for you.

Q: How do I list KEGG organisms in Cline?

Tell Cline to run the kegglist tool with the organism parameter. It will parse the return data and present the list in your VS Code terminal.

Cline fetches KEGG data to build and test your genomic applications in VS Code.

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Connect KEGG MCP to Cline

Create your Vinkius account to connect KEGG to Cline and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup KEGG with Cline

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Cline executes end-to-end KEGG queries

Cline uses `kegg_find` to discover relevant entries and `kegg_get` to pull raw file data for your components. It automates the entire retrieval process. You tell Cline to build a module using specific pathway data. It calls the necessary tools, writes the implementation, and creates the required test files.

Manage genomic IDs in Cline

Use `kegg_conv` to translate proprietary IDs into KEGG-compatible formats. Cline performs these mappings during the build phase to ensure data integrity. It removes the need for manual dictionary management. Cline detects the ID format, calls the conversion tool, and updates your code automatically.

Verify drug interactions via Cline

Cline integrates `kegg_ddi` into your testing pipeline to catch dangerous interactions early. It processes your drug lists and generates a report of any known conflicts. This prevents runtime errors in your clinical tools. Cline flags the interaction, writes the error handling logic, and keeps your project safe.

Setup guide

Set up KEGG MCP in Cline

Prerequisites

VS Code with Cline extension installed
Active Vinkius subscription with a valid endpoint token

1

Open Cline MCP settings

Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
2

Add a remote server

Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type kegg-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.
3

Enable the server

After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
4

Start using tools

Return to the Cline chat and ask: "Check my latest KEGG refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings

{
  "mcpServers": {
    "kegg-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about KEGG MCP in Cline

Cline connects to the server through the MCP interface. It uses the seven defined tools to fetch, map, and list biological data directly into your workspace.

Yes. Cline can chain `kegg_list` and `kegg_link` to build a complete map of related genes and pathways. It writes the code to process these relations for you.

Your project data is never exposed. Cline only transmits the specific IDs and search terms requested to the KEGG REST API, ensuring your local research remains isolated.

Tell Cline to run the `kegg_list` tool with the organism parameter. It will parse the return data and present the list in your VS Code terminal.

It accesses public genomic and chemical identifiers. No sensitive patient information or private hospital records are ever transmitted to or from this server.

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