How to Use the UniProt MCP in Cursor

Q: How does UniProt work with Cursor?

You add the server configuration to .cursor/mcp.json. Then, when in Agent mode, you can prompt the AI to use tools like searchuniprot and it will generate working code using those live API results.

Q: Can I use UniProt to check a gene's isoforms in Cursor?

Absolutely. Use searchuniprotgene. The agent will return all protein isoforms and their functional annotations, letting you write robust code that handles multiple product variations.

Inject live UniProt protein data directly into your code using Cursor's agent capabilities.

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Connect UniProt MCP to Cursor

Create your Vinkius account to connect UniProt to Cursor 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 UniProt with Cursor

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UniProt Search in Cursor

Need to reference a protein's function while coding? You can use `search_uniprot` to get data on specific proteins like 'BRCA1.' The AI agent calls this tool, and the resulting name, gene, organism, and sequence are injected directly into your editor context. This means you don't have to switch tabs or copy-paste; the live API response becomes part of the code block you're writing.

Fetch Full Protein Details in Cursor

When you hit a roadblock and need comprehensive data for a UniProt accession ID, `get_uniprot_protein` pulls it right into your workspace. The agent uses this live context to write the correct function signature or validation logic. It’s way better than using mock stubs because the code you generate is based on real-world biological data.

Gene Mapping with MCP Server in Cursor

If your task involves mapping multiple isoforms, `search_uniprot_gene` handles it. You give it a gene name, and the AI retrieves all associated protein isoforms and their functional annotations. This allows you to write complex data parsing functions that account for every potential variation without having to manually check external sources.

Setup guide

Set up UniProt MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the UniProt MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent UniProt transactions." If the MCP tools are loaded correctly, Cursor will call the UniProt tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by UniProt. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about UniProt MCP in Cursor

You add the server configuration to `.cursor/mcp.json`. Then, when in Agent mode, you can prompt the AI to use tools like `search_uniprot` and it will generate working code using those live API results.

This server handles publicly available biological data, specifically protein sequences, functional annotations, and accession IDs. No private user information is involved in the process.

Absolutely. Use `search_uniprot_gene`. The agent will return all protein isoforms and their functional annotations, letting you write robust code that handles multiple product variations.

Yes. Because the AI generates working code using real API responses from the MCP Server—not stubs—it's excellent for building prototypes that need live data context.

You’ll get a wide range of biological details: protein name, gene source, organism type, subcellular location, and the amino acid sequence itself. The data is highly structured.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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