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How to Use the Nimbata MCP in VS Code Copilot

Equip your engineering team to build, test, and manage Nimbata call tracking pipelines directly inside VS Code Copilot.

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VS Code Copilot

Connect Nimbata MCP to VS Code Copilot

Create your Vinkius account to connect Nimbata 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 Call Tracking Tools Across Your Team

The Nimbata MCP Server integrates into your shared repository via `.vscode/mcp.json` so every developer on your team has immediate access to call metrics. Your team uses `list_sources` to audit active tracking campaigns without leaving the editor. Because the configuration is checked into Git, onboarding is instant. Developers write code against live endpoints like `list_numbers` to ensure their local databases match production tracking environments.

Audit Call Records Directly in the Editor

The `get_call_recording` tool lets your team download and inspect audio files for quality assurance and debugging. Your agent can fetch these files to verify that webhook payloads match actual call events. To check specific metadata, the agent runs `get_call_details` to pull timestamps, duration, and status. This helps developers build accurate data pipelines for CRM integrations.

Build Automated Reports with the MCP Server

This MCP Server provides direct access to high-level performance data through the `get_call_report` tool. Your agent can query this endpoint to generate daily summaries of inbound lead volume for your team Slack channels or internal wikis. For campaign-specific insights, the agent uses `get_source_report` to break down calls by marketing channel. This gives your developers a clear view of which APIs are driving the most business value.

Setup guide

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

.vscode/mcp.json
{
  "mcpServers": {
    "nimbata-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 Nimbata. 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 Nimbata MCP in VS Code Copilot

Create a `.vscode/mcp.json` file in your repository root and define the server. When team members open the workspace in VS Code, Copilot will automatically load the tools for them.
Yes, the agent runs `check_nimbata_status` to verify your API token is active. This ensures your team is working with a live, authenticated connection before writing code.
Ask Copilot to generate a report for a specific source. The agent will execute `get_source_report` and present the conversion numbers directly in the chat panel.
Yes, the agent uses `search_calls` to query call logs based on date, duration, or tracking source, allowing you to debug specific records without leaving VS Code.
All transmission of call recordings and phone numbers happens over encrypted local channels via stdio. Your enterprise security policies are respected, and raw data is never cached by the AI model.

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