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 AutoGen 10 tools — connect in under 2 minutes

Name: Bland AI
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Bland AI as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.

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.

python

import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="bland_ai_1_agent",
            tools=tools,
            system_message=(
                "You help users with Bland AI. "
                "10 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Bland AI tools. Connect 10 tools through the Vinkius and assign role-based access — a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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 AutoGen 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 AutoGen via MCP

Follow these steps to integrate the Bland AI MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 10 tools from Bland AI automatically

Why Use AutoGen with the Bland AI MCP Server

AutoGen provides unique advantages when paired with Bland AI through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Bland AI tools to solve complex tasks

Role-based architecture lets you assign Bland AI tool access to specific agents — a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive Bland AI tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Bland AI tool responses in an isolated environment

Bland AI + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Bland AI MCP Server delivers measurable value.

Collaborative analysis: one agent queries Bland AI while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Bland AI, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Bland AI data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Bland AI responses in a sandboxed execution environment

Bland AI MCP Tools for AutoGen (10)

These 10 tools become available when you connect Bland AI to AutoGen 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 AutoGen

Ready-to-use prompts you can give your AutoGen 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 AutoGen

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

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Bland AI + AutoGen FAQ

Common questions about integrating Bland AI MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Bland AI tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.