Can I send a phone call with specific instructions using the agent?

Yes! Use the `send_call` action with the target phone number and a 'task' string describing exactly what the AI should say and do during the call.

How do I retrieve the transcript of a completed call?

Simply ask the agent to `get_transcript` and provide the Call ID. It will retrieve the full conversation log from the Bland AI engine.

Can I list all available voices before starting a call?

Yes. Use the `list_voices` tool to see all AI voices available in your Bland AI account, including their names and unique IDs.

Bland AI MCP Server for VS Code Copilot 10 tools — connect in under 2 minutes

Name: Bland AI
Availability: InStock
Author: Vinkius

code.visualstudio.com/docs/copilot/chat/mcp-servers

Built by Vinkius GDPR 10 Tools IDE

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Bland AI and 2,500+ MCP Servers from a single visual interface.

Download Free Open SourceNo signup required

Classic Setup·json

{
  "mcpServers": {
    "bland-ai-1": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Bland AI MCP Server

Connect your Bland AI account to any AI agent and orchestrate your automated phone call workflows through natural conversation.

GitHub Copilot Agent mode brings Bland AI data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 10 tools — Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

What you can do

Outbound Automation — Send AI-powered phone calls with custom tasks and specific voices.
Call Monitoring — List recent calls and retrieve detailed metadata, including transcripts and analysis.
Agent Management — Access and manage your AI 'personas' (agents) used for different call scenarios.
Pathway Coordination — Retrieve and utilize complex conversation pathways for branching logic during calls.
Voice Discovery — List all available AI voices to find the perfect fit for your brand.
Operational Control — Stop active or scheduled calls instantly if needed.

The Bland AI MCP Server exposes 10 tools through the Vinkius. Connect it to VS Code Copilot in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Bland AI to VS Code Copilot via MCP

Follow these steps to integrate the Bland AI MCP Server with VS Code Copilot.

Create MCP config

Create a .vscode/mcp.json file in your project root

Add the server config

Paste the JSON configuration above

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

Start using Bland AI

Ask Copilot: "Using Bland AI, help me..." — 10 tools available

Why Use VS Code Copilot with the Bland AI MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Bland AI through the Model Context Protocol.

VS Code is used by over 70% of developers — adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

Bland AI + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Bland AI MCP Server delivers measurable value.

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Bland AI MCP Tools for VS Code Copilot (10)

These 10 tools become available when you connect Bland AI to VS Code Copilot via MCP:

get_agent

Get details of a specific AI agent

get_call

Get details and metadata of a call

get_pathway

Get details of a specific pathway

get_transcript

Retrieve the transcript of a completed call

list_agents

List all AI agents

list_calls

List recent AI calls

list_pathways

List all conversation pathways

list_voices

List available AI voices

send_call

Send an AI phone call

stop_call

Stop an active or scheduled call

Example Prompts for Bland AI in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with Bland AI immediately.

"Call +15550199 and ask if they are still interested in our pricing plan."

"List all AI agents in my account."

"Show the transcript for call call_998877."

Troubleshooting Bland AI MCP Server with VS Code Copilot

Common issues when connecting Bland AI to VS Code Copilot through the Vinkius, and how to resolve them.

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Bland AI + VS Code Copilot FAQ

Common questions about integrating Bland AI MCP Server with VS Code Copilot.

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.