How to Use the watsonx Discovery MCP in Cursor

Q: How do I query watsonx Discovery content in Cursor?

You include querydiscoverycontent in your project context. The agent mode calls this tool, and the live result of your DQL or natural language search gets injected directly into the code you're writing.

Q: Can I check enrichments for watsonx Discovery in Cursor?

Yes, use listavailableenrichments. This tool shows all NLP models—like Sentiment and Entities—that are currently enriching your documents. You can write code that accounts for these data types.

Write code that uses live API responses in Cursor: Connect to watsonx Discovery's MCP Server.

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Connect watsonx Discovery MCP to Cursor

Create your Vinkius account to connect watsonx Discovery 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 watsonx Discovery with Cursor

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Build real-time data queries with the MCP Server

When you need a search result, don't use mock data. Use `query_discovery_content` to run natural language or DQL queries against watsonx Discovery collections. The AI generates code that accepts and uses this live API response in your file. This means the context you write with is real, not just a stub.

Inspect project structure right in your editor

Before coding, you need to know what's available. Call `list_discovery_collections` to list all data collections. You can then use `list_collection_documents` on a specific collection ID to see exactly which files are indexed. It’s great for scoping out your targets before writing the connection logic.

Verify component health and enrichments

Use `get_component_settings` to check a project's configuration or health status—critical when integrating external services. You can also run `list_available_enrichments` to see every NLP model (like Entities) applied to the documents, which helps you write accurate processing code.

Setup guide

Set up watsonx Discovery 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 watsonx Discovery 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 watsonx Discovery transactions." If the MCP tools are loaded correctly, Cursor will call the watsonx Discovery tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by watsonx Discovery. 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 watsonx Discovery MCP in Cursor

You include `query_discovery_content` in your project context. The agent mode calls this tool, and the live result of your DQL or natural language search gets injected directly into the code you're writing.

You access complex data by querying collections. This server lets you list all available collections and then pull specific document details using `get_document_details` to understand the scope.

Yes, use `list_available_enrichments`. This tool shows all NLP models—like Sentiment and Entities—that are currently enriching your documents. You can write code that accounts for these data types.

It's built to provide live context, so yes. The MCP Server ensures the AI calls use real API responses, making your generated code functional right out of the gate.

This server deals with structured metadata, document details, and configuration settings from indexed collections. It's all about searchable content context.

Use it with your favorite AI tools

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

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