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 OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Bland AI
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Bland AI through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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 agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Bland AI Assistant",
            instructions=(
                "You help users interact with Bland AI. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Bland AI"
        )
        print(result.final_output)

asyncio.run(main())

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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.

The OpenAI Agents SDK auto-discovers all 10 tools from Bland AI through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Bland AI, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Bland AI MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Bland AI

Why Use OpenAI Agents SDK with the Bland AI MCP Server

OpenAI Agents SDK provides unique advantages when paired with Bland AI through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Bland AI + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Bland AI MCP Server delivers measurable value.

Automated workflows: build agents that query Bland AI, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Bland AI, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Bland AI tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Bland AI to resolve tickets, look up records, and update statuses without human intervention

Bland AI MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Bland AI to OpenAI Agents SDK 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

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

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Bland AI + OpenAI Agents SDK FAQ

Common questions about integrating Bland AI MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.