
Connect KEGG to ChatGPT, Claude and Gemini
Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Query genomic and chemical databases through your AI agent.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Your AI does the work. We keep it safe and sound.
No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.
Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

Each Connector runs inside its own sealed environment.
Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.
One switch stops every agent. Instantly.
One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.
Spending limits that pause instead of surprise.
Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.
Three controls, built into the layer your AI connects through.
Curated set · 7 capabilities
We ship only the actions that matter.
01-04
4 capabilities in this set.
Part of 7 available through KEGG.
- 01
Kegg info
This capability provides database release information and current statistics. It helps you check the status of specific KEGG categories like pathways or genes.
- 02
Kegg conv
Use this to convert KEGG identifiers into formats used by other databases. It bridges the gap between KEGG and external sources like NCBI or UniProt.
- 03
Kegg link
This capability finds related entries through database cross-references. You can use it to find pathways linked to specific human genes.
- 04
Kegg list
This capability generates lists of entry identifiers and their names. You can use it to browse all available organisms or specific pathway categories.
05-07
3 capabilities in this set.
Part of 7 available through KEGG.
- 05
Kegg ddi
This capability identifies adverse drug-drug interactions. It is designed for clinical and pharmacological research needs.
- 06
Kegg find
Use this to search for entries that match a specific keyword or chemical data. It is the primary way to locate compounds or specific biological entities.
- 07
Kegg get
This capability retrieves specific database entries in flat-file or other requested formats. It is used to pull detailed data for a single gene or compound.
Real work
What teams actually run
Pathway Discovery
An agent maps a list of genes to their corresponding metabolic pathways to identify biological trends.
Drug Safety Screening
A researcher checks for potential adverse interactions between two specific compounds.
Data Normalization
A scientist converts a list of KEGG IDs into UniProt IDs for a larger dataset.
Compound Identification
A user searches for specific chemical structures or formulas within the KEGG compound database.
Automate a task
Put KEGG to work on one thing.
Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.
One connector, every AI
KEGG works with the most popular AI clients.
These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put KEGG to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.
Observed, not estimated
1013ms average. Fast in production.
KEGG is checked daily against the live service.
- Fastest day
- 746ms
- Slowest day
- 1157ms
- 14-day trend
- Stable+3%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 7 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of KEGG, so you can see the experience inside your AI.
It does not authenticate your account with KEGG. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
KEGG Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_3VQS6ta0LfpPfSufEA9QzNKVt9adBMSWJpS3FFGz/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — KEGG capabilities are ready to use.
{
"mcpServers": {
"kegg-mcp": {
"url": "https://edge.vinkius.com/vk_preview_3VQS6ta0LfpPfSufEA9QzNKVt9adBMSWJpS3FFGz/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
Guided setup for Claude? Set up KEGG in Claude and other AIs
Who it's for
Built for the work KEGG owners hand off.
This MCP is built for professionals working with large-scale biological and chemical datasets.
- 01
Bioinformatics Researchers
They use the agent to automate gene sequence retrieval and pathway mapping.
- 02
Pharmacologists
They rely on the agent to check chemical properties and drug interactions during discovery.
- 03
Data Scientists
They pull high-quality biological metadata directly into their analysis pipelines.
FAQ
Questions KEGG owners ask.
- 01
How do I use KEGG data with Claude or Cursor?
You simply connect the KEGG MCP through the Vinkius interface. Once connected, your AI client can call the capabilities directly using natural language commands.
- 02
Can I convert KEGG IDs to NCBI IDs?
Yes, the kegg_conv capability is specifically designed to convert KEGG identifiers to and from external databases like NCBI, UniProt, and PubChem.
- 03
Does this MCP provide drug interaction data?
Yes, the kegg_ddi capability allows your agent to find adverse drug-drug interactions for research purposes.
- 04
Can I search for chemicals by their formula?
Yes, the kegg_find capability allows you to search for entries using keywords, chemical formulas, or mass.
- 05
Is there a way to list all organisms in the database?
You can use the kegg_list capability and specify 'organism' as a parameter to see all available organisms.
- 06
How can I find all metabolic pathways associated with a specific human gene?
You can use the kegg_link capability. 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.
- 07
Can I search for chemical compounds using an exact molecular mass?
Yes! Use the kegg_find capability with the database set to 'compound', the mass value as the query, and the option set to 'exact_mass'.
- 08
Is it possible to check for interactions between multiple drugs at once?
Absolutely. Use the kegg_ddi capability and provide the drug identifiers separated by a '+' sign (e.g., 'D00564+D00017') to find known adverse interactions.
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Connect KEGG to Claude, Cursor, ChatGPT & more
