How to Use the Yida MCP in VS Code Copilot

Q: How do I get Yida to work with VS Code Copilot?

You add the server configuration to a committed .vscode/mcp.json file. When developers switch Copilot Chat to Agent mode, the tools become available instantly for use in code generation.

Q: Can I retrieve specific Yida records using VS Code Copilot?

Yes, you can call getrecorddetails and listdataids. The agent pulls the data structure and injects it directly into your code or chat output for immediate use.

Q: What kind of process management does Yida offer with VS Code Copilot?

You can inspect workflows using listworkflows and track progress via the getinstancetimeline. This lets your team build reliable automation around core business processes.

Automate Yida platform tasks for your whole team using VS Code Copilot.

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Connect Yida MCP to VS Code Copilot

Create your Vinkius account to connect Yida 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 Yida with VS Code Copilot

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Team Consistency with the MCP Server

The power here is committing the `.vscode/mcp.json` file to the repository. This ensures every developer on the team automatically has access to Yida’s full toolset. The agent can use `list_forms` and `get_form_schema` to provide immediate, consistent context across all new features being built.

Automating Data Changes in Copilot Chat

When you need to change a record, the agent can execute `update_record` directly within the chat interface. This means data changes are logged and visible without manual API calls. If you're building an endpoint that needs new data, calling `create_record` ensures the entry follows all current Yida governance rules.

Debugging Workflows with MCP Server

Need to debug why a process stalled? Use `get_instance_timeline` to pull a complete audit trail directly into your coding environment. This saves hours of manual investigation. The server also lets you check on users via `list_users`, helping you scope out who needs permissions for the feature you're developing.

Setup guide

Set up Yida 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 Yida 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 Yida tools listed. Try asking: "List my recent Yida transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

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

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Common questions about Yida MCP in VS Code Copilot

You add the server configuration to a committed `.vscode/mcp.json` file. When developers switch Copilot Chat to Agent mode, the tools become available instantly for use in code generation.

Yes, you can call `get_record_details` and `list_data_ids`. The agent pulls the data structure and injects it directly into your code or chat output for immediate use.

You can inspect workflows using `list_workflows` and track progress via the `get_instance_timeline`. This lets your team build reliable automation around core business processes.

It manages the tools across the defined environment. The server is designed to provide a single, consistent view of forms and data instances for all team members using the shared config.

This server touches form schemas, user lists, workflow metadata, and specific records (data instances). It's built to manage structured enterprise data.

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