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How to Use the FastGPT MCP in VS Code Copilot

Share FastGPT knowledge bases across your entire team using VS Code Copilot.

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VS Code Copilot

Connect FastGPT MCP to VS Code Copilot

Create your Vinkius account to connect FastGPT to VS Code Copilot 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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Share team-wide FastGPT datasets in VS Code Copilot

Your agent uses `list_datasets` to display your shared FastGPT knowledge bases directly inside VS Code Copilot. This gives every developer on your team immediate access to shared schemas. Your team can query shared internal docs without leaving VS Code Copilot. The agent uses `search_dataset_data` to pull verified answers from your FastGPT knowledge base during code reviews.

Ingest repository documentation into FastGPT

Your agent calls `push_dataset_data` to upload markdown files and repository documentation from VS Code Copilot to FastGPT. This keeps your team's FastGPT knowledge base fresh automatically. If a doc changes, the Copilot agent runs `update_dataset_data` to keep the FastGPT vector index current. You can also clean up old documentation blocks using `delete_dataset_data` directly from the chat.

Run FastGPT app diagnostics inside VS Code Copilot

Your agent runs `list_apps` to verify your active FastGPT application configurations right inside VS Code Copilot. This stops you from jumping between your browser and editor to check your FastGPT RAG apps. You can test live user queries against your system. VS Code Copilot triggers `chat_completions` to run integration tests, checking how your FastGPT app responds to real-world prompts.

Setup guide

Set up FastGPT MCP in VS Code Copilot

Prerequisites

  • VS Code 1.99 or later with GitHub Copilot extension
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP configuration

    Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.

  2. 2

    Add the FastGPT MCP

    Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.

  3. 3

    Switch to Agent mode

    Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.

  4. 4

    Verify the connection

    In the Copilot Chat input, type # to list available tools. You should see the FastGPT tools listed. Try asking: "List my recent FastGPT transactions" and Copilot will invoke them automatically.

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

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 VS Code Copilot

You add the server configuration to your `.vscode/mcp.json` file. VS Code Copilot loads the MCP server, giving your chat agent access to FastGPT tools like `search_dataset_data` and `list_apps`.
Yes, by committing the `.vscode/mcp.json` file to your shared repository. Every developer with VS Code 1.96+ can immediately query FastGPT datasets using the shared MCP credentials.
The Copilot agent uses `push_dataset_data` and `update_dataset_data` to modify your knowledge base. It targets specific record IDs to keep your FastGPT vectors perfectly aligned with your git branches.
Yes, you can ask the agent to initialize a new knowledge base. It invokes `create_dataset` to set up the vector store on FastGPT, ready for your project files.
All code chunks and vector queries are processed in isolated, ephemeral V8 sandboxes. Your data is encrypted in transit using TLS and sent straight to FastGPT, ensuring no proprietary code is cached or stored on Vinkius.

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