How to Use the Tingg Insights MCP in VS Code Copilot

Q: What happens if the API is down?

You can use the checkapihealth tool to get an immediate status report. This allows you to stop and investigate before your code hits an error.

Standardize fintech integrations across your team with VS Code Copilot. Share tools via repo config for consistent data access.

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MCP Servers — Included with Plan

Connect Tingg Insights MCP to VS Code Copilot

Create your Vinkius account to connect Tingg Insights to VS Code Copilot — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup Tingg Insights with VS Code Copilot

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Team-wide integration tools

Commit your server config to the repo so every developer uses the same `check_api_health` and `list_payment_transactions` tools. It ensures your team debugs with the same data. No more inconsistent local setups. Everyone has access to the exact same API operations for their specific tasks.

Streamlined payout management

Handle your disbursement logic by sharing `initiate_payout_request` and `get_payout_status` across the codebase. It makes the entire payout lifecycle transparent to every engineer on the project. You can pull settlement history with `list_account_settlements` during code reviews to verify logic. It brings the data into the PR process.

Performance-based coding

Use `get_account_performance_metrics` to inform your optimization efforts. If your code needs to react to specific events, use `list_configured_webhooks` to see what is already set up. Everything is versioned in your repo. It makes managing your payment infrastructure a team sport rather than a solo effort.

Setup guide

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

.vscode/mcp.json

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Tingg Insights. 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.

Why Choose Vinkius

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Common questions about Tingg Insights MCP in VS Code Copilot

Add an mcp.json file to your .vscode folder in the repository. Once committed, every developer on your team gets access to the tools automatically.

Yes. Once the server is defined in your config, switch Copilot Chat to Agent mode to start using the tools for your daily tasks.

The server architecture supports secure, local-first operation. You control the access and the configuration, which fits well within standard corporate security policies.

You can use the `check_api_health` tool to get an immediate status report. This allows you to stop and investigate before your code hits an error.

The server functions as a bridge that transmits only the requested transaction data. It does not persist any sensitive financial information, keeping your data footprint minimal.

Use it with your favorite AI tools

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