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How to Use the Bland AI MCP in VS Code Copilot

Deploy and monitor Bland AI phone agents directly from VS Code Copilot.

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Works with every AI agent you already use

…and any MCP-compatible client

Bland AI MCP on Cursor AI Code Editor MCP Client Bland AI MCP on Claude Desktop App MCP Integration Bland AI MCP on OpenAI Agents SDK MCP Compatible Bland AI MCP on Visual Studio Code MCP Extension Client Bland AI MCP on GitHub Copilot AI Agent MCP Integration Bland AI MCP on Google Gemini AI MCP Integration Bland AI MCP on Lovable AI Development MCP Client Bland AI MCP on Mistral AI Agents MCP Compatible Bland AI MCP on Amazon AWS Bedrock MCP Support
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VS Code Copilot

Connect Bland AI MCP to VS Code Copilot

Create your Vinkius account to connect Bland AI 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.

GDPR Free for Subscribers

Control live voice agents

`send_call` dispatches an automated voice agent to any phone number you specify. VS Code Copilot configures the agent's behavior and triggers the dialer over the MCP connection. When you need to kill a running call during testing, `end_call` forces an immediate disconnect. This keeps your development loop fast and prevents unnecessary toll charges.

Debug call flows inside VS Code Copilot

`get_call_details` retrieves the full transcript and execution variables for any completed call. VS Code Copilot reads these details to help you diagnose routing bugs or prompt errors. To inspect the raw voice quality, `get_recording` provides the exact MP3 or WAV links of the call. Your agent uses these links to verify audio performance.

Scale outbound telecom campaigns with an MCP Server

`send_batch` triggers hundreds of phone calls concurrently to scale your operations. Your agent manages the bulk queue, while VS Code Copilot tracks the dispatch progress. To monitor the campaign, `get_batch` retrieves real-time status updates and performance metrics for the active batch. You see exactly how many calls connected without leaving your editor.

Setup guide

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

.vscode/mcp.json
{
  "mcpServers": {
    "bland-ai-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 Bland AI. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Bland AI MCP in VS Code Copilot

Add the Vinkius MCP Server configuration to your .vscode/mcp.json file. Commit it to your repository, and your entire team will have access to the phone tools immediately.
Yes, your agent uses `send_call` to dial numbers and run voice conversations. You can prompt Copilot to initiate a call and pass custom instructions to the voice agent.
Yes, the `get_call_details` tool fetches complete transcripts of finished calls. Your agent can analyze these texts to help you debug conversation logic or update database schemas.
The `list_inbound` tool lists all active numbers currently routed to your voice agents. This helps you map customer-facing numbers directly to your code architecture.
All communication passes through the zero-trust Vinkius MCP sandbox, which completely isolates your call logs, transcripts, and API credentials. No persistent storage is used, keeping your telecom data fully private.

Start using the Bland AI MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for Bland AI. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 10 tools are live and waiting. You're up and running in seconds.

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