How to Use the Feishu Bitable MCP in VS Code Copilot

Q: Can VS Code Copilot read specific views from our Feishu Bitable bases?

Yes. Copilot uses the listviews tool to identify existing table views, helping you write code that targets the exact filtered datasets your team uses.

Q: How does VS Code Copilot handle bulk data creation in Feishu Bitable?

It executes the createrecords tool behind the scenes. You can highlight a block of raw data in your editor and ask Copilot to push it directly to your Bitable table.

Q: Can I inspect a specific row's fields without writing a query?

Yes, you can ask Copilot to run getrecorddetails for a specific record ID. It will fetch and display the raw field values directly in your chat panel.

Share Bitable database tools with your entire engineering team inside VS Code Copilot using shared config files.

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Connect Feishu Bitable MCP to VS Code Copilot

Create your Vinkius account to connect Feishu Bitable 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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Setup Feishu Bitable with VS Code Copilot

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Team-wide schema discovery inside VS Code Copilot

The `get_base_info` tool gives VS Code Copilot immediate access to your team's Bitable metadata directly within the shared workspace. By committing the server configuration to your repository, every developer can query Bitable base setups inside VS Code Copilot without sharing personal API keys. When writing integration scripts, the VS Code Copilot agent uses `list_fields` to verify Bitable field types across the team. This prevents Bitable schema mismatch bugs in VS Code Copilot before they reach your CI/CD pipeline.

Batch operations via the VS Code Copilot MCP Server

The `create_records` tool enables VS Code Copilot to perform bulk migrations and test data inserts directly from your terminal or chat. Your VS Code Copilot development agent can process a local JSON file and write hundreds of rows into your Bitable tables. If a Bitable batch run fails or needs correction, the VS Code Copilot agent uses `update_record` to modify specific fields. This keeps your shared Bitable databases accurate and up to date during collaborative VS Code Copilot sprints.

Precise record targeting and view management

The `list_views` tool allows VS Code Copilot to see how your Bitable tables are organized for different business units. Your VS Code Copilot agent can target specific Bitable views to ensure your code matches the visual layouts your operations teams rely on. To find individual Bitable rows for debugging, the VS Code Copilot agent invokes `search_records` with precise filter parameters. It extracts only the necessary Bitable records, keeping your VS Code Copilot development logs clean and focused.

Setup guide

Set up Feishu Bitable 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

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

Add the Feishu Bitable 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

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

Verify the connection

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

.vscode/mcp.json

{
  "mcpServers": {
    "feishu-bitable-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 Feishu Bitable. 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 Feishu Bitable MCP in VS Code Copilot

Add the MCP server configuration to a .vscode/mcp.json file and commit it to your Git repository. Every developer with the Copilot extension will automatically gain access to the Bitable tools.

Yes. Copilot uses the `list_views` tool to identify existing table views, helping you write code that targets the exact filtered datasets your team uses.

It executes the `create_records` tool behind the scenes. You can highlight a block of raw data in your editor and ask Copilot to push it directly to your Bitable table.

Yes, you can ask Copilot to run `get_record_details` for a specific record ID. It will fetch and display the raw field values directly in your chat panel.

Vinkius uses a zero-trust architecture where all requests to your Bitable tables are executed inside a secure, short-lived container. Your tokens and cell values are never cached or used to train any models.

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