How to Use the Yida MCP in Claude Code

Q: How do I process form submissions using Yida MCP Server with Claude Code?

Write a script that calls getformschema to validate the inputs. Once validated, your job is simply to call createrecord and pass the final, sanitized data payload.

Q: Can I list application users using Yida MCP Server in Claude Code?

Yes. You pipe a simple command that executes listusers. The output is pure JSON, making it perfect for consuming in another downstream script or container job.

Q: What steps should I take before updating records using Yida MCP Server in Claude Code?

Always fetch the current state first. Run getrecorddetails to pull the record's existing data, then run your logic, and finally pipe the new values into updaterecord. This minimizes risk.

Q: If I need a list of available forms using Yida MCP Server in Claude Code?

Use listforms as a dedicated command. It outputs all form names, allowing your shell script to iterate over them and build reports or validation checks.

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Setup Yida with Claude Code

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Claude

Perplexity

Batch process records using Yida MCP Server.

You can write a shell script that calls `list_data_ids` to get thousands of record IDs. Your pipeline then loops through those IDs, executing `get_record_details` for each one and piping the resulting JSON into an analysis tool. This pattern makes it easy to run bulk updates; fetch existing data with `get_record_details`, modify it in your script, and pipe the final payload to `update_record`.

Manage application configuration via Yida MCP Server.

The `list_forms` tool allows you to query every available form name directly from a cron job. You can then use `get_form_schema` in a script to validate the structure of those forms against an expected standard. Similarly, listing workflows (`list_workflows`) and users (`list_users`) helps your CI/CD pipeline automatically audit the application's current state.

Audit workflow lifecycle events with Yida MCP Server.

To build a robust audit script, use `get_instance_timeline`. This tool pulls every step and timestamp for any given workflow instance. If you need to remove old records from the system—say, historical data older than 90 days—you first identify them using `list_data_ids`, then run `delete_record` in a controlled shell script.

Setup guide

Set up Yida MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see yida-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Yida transactions." It will automatically discover and invoke the available Yida tools.

Terminal

claude mcp add --transport http yida-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

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Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Yida MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

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

Get your connection token →

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Common questions about Yida MCP in Claude Code

Write a script that calls `get_form_schema` to validate the inputs. Once validated, your job is simply to call `create_record` and pass the final, sanitized data payload.

Yes. You pipe a simple command that executes `list_users`. The output is pure JSON, making it perfect for consuming in another downstream script or container job.

Always fetch the current state first. Run `get_record_details` to pull the record's existing data, then run your logic, and finally pipe the new values into `update_record`. This minimizes risk.

Use `list_forms` as a dedicated command. It outputs all form names, allowing your shell script to iterate over them and build reports or validation checks.

This server deals with structured record data and user identities. Your scripts interact heavily with the content pulled via `get_record_details` and the metadata found in `list_users`.

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