Can my AI directly check why a specific SMS message failed to send?

Yes. When anomalous delivery states occur, the AI can query `list_messages` identifying problematic entries. Then, executing `get_message` feeding the discrete UUID returns explicit structural insights straight from Plivo’s carrier networks (e.g., 'Destination Not Found', 'Blocked by telecom firewall').

Is it possible to terminate a live stuck call from my text prompt?

Absolutely. If you detect logic loops keeping Voice trunks active in `list_calls`, instruct the agent to issue the `cancel_call` action. Supplying the precise UUID forces the HTTP architecture to literally send a `DELETE` tear-down protocol, instantly vaporizing the connection physically.

Can the agent interact with my billing limits to warn me?

Correct. Plivo natively exposes account architecture. Prompting the system to fetch `get_account` pulls cash balances, available capacity boundaries, and current currency mapping logic. It allows your Agent to perform autonomous diagnostics warning you natively before critical telecom endpoints shutdown due to zero-balance errors.

Plivo MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Plivo
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 Plivo 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="Plivo Assistant",
            instructions=(
                "You help users interact with Plivo. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())

Fully ManagedVinkius Servers

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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 Plivo MCP Server

Grant your AI agent the absolute capacity to bridge code into the global telecommunications network via Plivo. Circumvent visual dashboards entirely. You can instruct your personal LLM (Cursor, Claude) to dispatch real SMS text messages, bridge live VoIP calls across E.164 formats, or pull heavy financial billing limits proactively from the console.

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

What you can do

Live SMS Outbound — Instruct your bot to dynamically dispatch send_sms payloads mapping precise strings to specific international destination variables without writing boilerplate bindings.
Voice Operations — Push strict XML logic routing into active PSTN grids. Initiate (make_call), actively trace connection lengths (get_call), or vaporize stuck voice sessions (cancel_call).
Telecom Auditing — Dive into messaging analytics. Query list_messages extracting exact 5xx delivery failures, retrieving explicitly why a telecom carrier rejected the frame (get_message).
Inventory & Capacity — Force the agent to interrogate your account for its exact active DID numbers (list_numbers), map VoIP registration footprints (list_endpoints), and monitor billing funds natively (get_account).

The Plivo 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 Plivo to OpenAI Agents SDK via MCP

Follow these steps to integrate the Plivo 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 Plivo

Why Use OpenAI Agents SDK with the Plivo MCP Server

OpenAI Agents SDK provides unique advantages when paired with Plivo 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

Plivo + OpenAI Agents SDK Use Cases

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

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

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

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

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

Plivo MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Plivo to OpenAI Agents SDK via MCP:

get_account_info

Get Plivo account details

get_call_details

Get specific call details

get_message_details

Get details for a specific message

list_calls

List recent voice calls

list_messages

List sent and received messages

list_plivo_numbers

List phone numbers in the account

list_sip_endpoints

List SIP endpoints

make_voice_call

Initiate an outbound voice call

send_sms

Send an SMS message

terminate_call

Hang up an active call

Example Prompts for Plivo in OpenAI Agents SDK

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

"Check Plivo account status and let me know my remaining wallet balance."

"Send an SMS message to `15551234567` from our main `15559876543` local number saying the servers are online."

"Check Plivo network to list all presently active voice phone calls."

Troubleshooting Plivo MCP Server with OpenAI Agents SDK

Common issues when connecting Plivo 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.

Plivo + OpenAI Agents SDK FAQ

Common questions about integrating Plivo 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.