How to Use the GroundX MCP in Cursor

Q: How does the GroundX and Cursor integration improve coding?

It allows the agent to query your documentation using searchdocuments. The agent then writes code that matches your actual internal standards.

Q: Can GroundX and Cursor handle multiple documentation sources?

Yes. You can use listgroups to see how your data is categorized. The agent can then target specific buckets for more accurate search results.

Q: Is GroundX and Cursor setup project-specific?

Yes. You define the server in your .cursor/mcp.json file. This lets you use different data buckets for different codebases.

Q: How do I list available workflows?

Run listworkflows to see the active RAG pipelines. This helps you understand which search logic is currently applied to your data.

Inject real-time context into your code with GroundX and Cursor.

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Connect GroundX MCP to Cursor

Create your Vinkius account to connect GroundX 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 GroundX with Cursor

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Claude

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GroundX search in Cursor agent

Give your agent access to your internal documentation. When you trigger `search_content`, the model pulls live facts into your current code context. It stops the AI from guessing. You get precise answers based on your actual data files.

Automate ingestion in Cursor

Use `ingest_website` to pull technical specs or API docs directly into your project. The agent can then reference these sources while writing your implementation. This keeps your code aligned with the latest documentation. You don't have to switch tabs to verify facts.

List and monitor content

Keep an eye on what your agent can see. Use `list_content` to view every document currently indexed in your buckets. If an ingestion task is running, check it with `get_ingest_status`. This ensures you aren't searching before the data is fully processed.

Setup guide

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

.cursor/mcp.json

{
  "mcpServers": {
    "groundx-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 GroundX. 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 GroundX MCP in Cursor

It allows the agent to query your documentation using `search_documents`. The agent then writes code that matches your actual internal standards.

Yes. You can use `list_groups` to see how your data is categorized. The agent can then target specific buckets for more accurate search results.

Yes. You define the server in your `.cursor/mcp.json` file. This lets you use different data buckets for different codebases.

Run `list_workflows` to see the active RAG pipelines. This helps you understand which search logic is currently applied to your data.

Your uploaded documents are stored in encrypted buckets. Only the specific tools defined in the MCP protocol can interact with your raw content.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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