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Nimbata MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Check Nimbata Status, Create Source, Get Call Details, and more

Built by Vinkius GDPR 12 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Nimbata 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 Nimbata app connector for OpenAI Agents SDK is a standout in the Industry Titans 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="Nimbata Assistant",
            instructions=(
                "You help users interact with Nimbata. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())
Nimbata
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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 Nimbata MCP Server

Connect your Nimbata account to any AI agent and take full control of your call tracking orchestration and attribution through natural conversation. Nimbata provides a robust platform for managing inbound calls, and this integration allows you to retrieve call metadata, monitor marketing sources, and manage tracking phone numbers directly from your chat interface.

The OpenAI Agents SDK auto-discovers all 12 tools from Nimbata through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Nimbata, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Call & Attribution Orchestration — List all managed inbound calls and retrieve detailed metadata programmatically, including duration, caller ID, and source attribution.
  • Source & Channel Intelligence — Access and monitor your marketing tracking sources (Google Ads, Facebook, etc.) and create new ones directly from the AI interface.
  • Number Lifecycle Management — List all active tracking phone numbers to maintain a clear overview of your communication infrastructure via natural language.
  • Call Deep-Dive — Retrieve granular details for specific calls to understand context and attribution in real-time using simple AI commands.
  • Operational Monitoring — Track system health and manage attribution metadata to ensure your marketing funnels are always optimized.

The Nimbata 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 Nimbata tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Nimbata through Vinkius, your AI agent gets direct access to every tool listed below — spanning call-tracking, marketing-attribution, lead-generation, 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.

check_nimbata_status

Verify connectivity

create_source

Create a tracking source

get_call_details

Get call details

get_call_recording

Get recording

get_call_report

Get call report

get_number

Get number details

get_source

Get source details

get_source_report

Get source report

list_calls

List calls

list_numbers

List tracking numbers

list_sources

List tracking sources

search_calls

Search calls

Connect Nimbata to OpenAI Agents SDK via MCP

Follow these steps to wire Nimbata 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 Nimbata

Why Use OpenAI Agents SDK with the Nimbata MCP Server

OpenAI Agents SDK provides unique advantages when paired with Nimbata 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

Nimbata + OpenAI Agents SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Nimbata in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Nimbata immediately.

01

"List all tracked calls in Nimbata from today."

02

"Show me the call tracking sources I have configured and their performance."

03

"Get the recording and full details for call ID call_7823."

Troubleshooting Nimbata MCP Server with OpenAI Agents SDK

Common issues when connecting Nimbata 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.

Nimbata + OpenAI Agents SDK FAQ

Common questions about integrating Nimbata 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.