Can my agent determine if a sales phone call was successful?

Yes. By providing the specific Call ID and a structured goal query (e.g., 'Did they buy?'), your AI agent triggers the 'analyze_call' tool, running a targeted LLM pass exactly over that transcript to extract the explicit boolean outcome.

What if a voice agent goes off-script on a live call?

You can instruct your agent to forcefully disrupt the conversation. Using the 'end_call' tool, it will immediately pass an interrupt flag and drop the active telecom connection without waiting for the other party.

Can I make AI agent calls directly through the browser instead of standard telephony?

Absolutely. Your agent can execute the 'create_web_call' tool, which bypasses PSTN billing entirely and opens a pure WebRTC signaling socket for direct in-app or browser audio interactions.

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": {
      "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 API key to your AI agent and take full programmatic control over enterprise-grade telephony and conversational voice workflows.

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

Automated Calling — Dispatch individual conversational voice agents to specific phone numbers, or scale up with bulk telecom batch dispatching.
Call Management & Analysis — Retrieve full historical call logs, pull raw transcripts, end live calls instantly, and forcefully interrogate recordings to extract goal completion statuses.
Inbound & WebRTC — View your purchased PSTN numbers for inbound routing and effortlessly spawn decoupled internet-based WebRTC signaling sockets for browser audio.
Media Extraction — Pull native MP3/WAV recording files directly for quality assurance or CRM logging.

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:

analyze_call

Interrogate an active recording querying direct goal completion status

create_web_call

Spawn a decoupled internet-based WebRTC signaling socket logic stream

end_call

Force an immediate disconnect disrupting a live AI call

get_batch

Retrieve aggregations profiling the concurrent status of a Bulk Batch

get_call_details

Retrieve explicit variables and exact transcript logic for a completed call

get_recording

Retrieve raw native MP3/WAV links logging exact raw audio

list_calls

Retrieve the full historical log of AI phone calls

list_inbound

Identify available inbound phone numbers currently bridged to an AI agent

send_batch

Dispatch multiple AI agents concurrently scaling bulk telecom arrays

send_call

Dispatch an automated conversational AI agent to a phone number

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.

"Please analyze call ID `c-12345` with the goal query 'Was the customer interested in a demo?'"

"End the currently active phone call ID `c-99999` immediately."

"List all my purchased inbound phone numbers on Bland AI."

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.