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Bland AI MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Analyze Call Transcript, Create Voice Agent, Delete Voice Agent, and more

Built by Vinkius GDPR 12 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.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Bland AI app connector for OpenAI Agents SDK is a standout in the Superpower category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 12 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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* 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 take full control of your hyper-realistic AI-driven phone communication and automated voice workflows through natural conversation.

The OpenAI Agents SDK auto-discovers all 12 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 Call Orchestration — Programmatically initiate high-fidelity phone calls to over 200 countries, providing specific tasks and real-time instructions directly through your agent
  • Voice Agent Architecture — Create and manage persistent AI personas with fixed prompts, voices, and personality settings to maintain a perfectly coordinated brand voice
  • Conversation Intelligence — Access real-time call statuses, retrieve complete high-fidelity transcripts, and access secure recording links for every interaction
  • Post-Call Discovery — Programmatically analyze finished calls to extract specific variables, insights, or sentiment summaries using advanced post-processing tools
  • Infrastructure Monitoring — Access your directory of purchased phone numbers and high-fidelity AI voices to oversee your voice communication ecosystem programmatically

The Bland AI MCP Server exposes 12 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.

All 12 Bland AI tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Bland AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning ai-voice-agent, automated-calling, conversational-ai, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

analyze_call_transcript

Perform post-call analysis

create_voice_agent

Create a persistent AI persona

delete_voice_agent

Remove an AI persona

get_agent_config

Get agent settings

get_call_details

Get details and transcript for a call

list_available_voices

List high-fidelity AI voices

list_phone_numbers

List purchased phone numbers

list_recent_calls

List recent phone calls

list_voice_agents

List configured AI personas

send_phone_call

Send an outbound phone call using an AI agent

stop_active_call

Stop an ongoing phone call

update_agent_config

Modify agent settings

Connect Bland AI to OpenAI Agents SDK via MCP

Follow these steps to wire Bland AI into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 12 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.

01

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

02

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

03

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

04

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.

01

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

02

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

03

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

04

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

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.

01

"Call '+15551234567' and ask if they are still coming to the meeting today at 3 PM."

02

"Show the transcript and recording for call ID 'call_123'."

03

"List all my persistent voice agents in Bland AI."

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.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

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.

01

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.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.