How to Use the FastGPT MCP in Cursor

Q: How do I configure Cursor to connect to the FastGPT MCP Server?

Add the server details to your .cursor/mcp.json file in your project root. Once saved, Cursor's agent mode instantly gains access to the MCP tools like searchdatasetdata and pushdatasetdata.

Q: Does Cursor support testing FastGPT completions directly?

Yes, the agent uses the chatcompletions tool to run test queries against your FastGPT apps. You can view the returned data and intermediate steps inside the Cursor chat window.

Build code using live vector context by querying and updating FastGPT datasets inside Cursor.

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Connect FastGPT MCP to Cursor

Create your Vinkius account to connect FastGPT 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 FastGPT with Cursor

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Claude

Perplexity

Write code backed by real FastGPT dataset schemas

Your agent calls `get_dataset_detail` to pull live FastGPT schemas directly into your active Cursor code file. This lets you inspect your exact FastGPT structures to write precise database integrations. No more guessing FastGPT field names or mocking dataset structures in your editor. Cursor uses actual vector chunks fetched via `search_dataset_data` to write code that perfectly matches your production data shapes.

Automate FastGPT document ingestion during active development

Your agent runs `push_dataset_data` to upload your active Cursor workspace files directly to your FastGPT knowledge base. This keeps your codebase files and API specs synced without manual uploads. You can initialize new FastGPT knowledge bases for your Cursor projects directly from the chat. The agent calls `create_dataset` to set up your vector storage without making you leave Cursor.

Test FastGPT app logic inside your Cursor chat

Your agent uses `chat_completions` to send test payloads to your FastGPT apps directly inside the Cursor sidebar. This lets you debug your FastGPT RAG pipelines without leaving your code editor. You can inspect FastGPT app configurations on the fly. The agent runs `get_app_detail` to verify that your active Cursor workspace is targeting the correct model and prompt settings.

Setup guide

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

.cursor/mcp.json

{
  "mcpServers": {
    "fastgpt-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 FastGPT. 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 FastGPT MCP in Cursor

Add the server details to your `.cursor/mcp.json` file in your project root. Once saved, Cursor's agent mode instantly gains access to the MCP tools like `search_dataset_data` and `push_dataset_data`.

Yes, when you edit files, you can instruct the Cursor agent to sync those changes. The agent calls `update_dataset_data` to update the corresponding vector records in FastGPT.

Yes, the agent uses the `chat_completions` tool to run test queries against your FastGPT apps. You can view the returned data and intermediate steps inside the Cursor chat window.

The agent breaks your Cursor codebase files down and sends them to FastGPT using `push_dataset_data`. This populates your knowledge base so you can search your code semantically later.

Your code chunks are sent directly to FastGPT over TLS-encrypted connections. The Vinkius MCP runtime environment processes these payloads in ephemeral, zero-trust sandboxes that destroy all cached data the moment your Cursor request finishes.

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