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How to Use the TextP2P MCP in OpenAI Agents SDK

Manage scalable campaigns reliably with OpenAI Agents SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

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MCP Servers — Included with Plan
Vinkius runs on OpenAI Agents SDK

Connect TextP2P MCP to OpenAI Agents SDK

Create your Vinkius account to connect TextP2P to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Check account credit balance.

Use `get_textp2p_balance` to check how much credit you've left. This tells your agent exactly what it can spend before sending any messages. It helps prevent the campaign from failing mid-run because of overspending. You always know your current resource limits.

Manage and list contact lists.

The `list_textp2p_lists` tool shows you every existing contact group on file. This lets the agent decide which segments need messaging. You can then use `add_textp2p_contact` to add a new person or segment into your active mailing list.

Send multi-format messages via MCP Server.

`send_textp2p_sms` delivers basic text alerts directly. If you need more depth, `send_textp2p_mms` handles pictures and groups. For a personal touch, use `send_textp2p_rvm` to drop a ringless voicemail.

Setup guide

Set up TextP2P MCP in OpenAI Agents SDK

Prerequisites

  • Python 3.10+ installed
  • openai-agents package (pip install openai-agents)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all TextP2P tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives TextP2P tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate TextP2P tools and returns structured results. Copy the full example on the right to get started.

agent.py
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="TextP2P Agent",
            instructions="You have access to TextP2P tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by TextP2P. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Built-in savings

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Common questions about TextP2P MCP in OpenAI Agents SDK

You call `get_textp2p_balance`. The agent reports your current spending limit, so you know exactly how many messages you can send before hitting a ceiling.
First, call `list_textp2p_lists` to see what's available. Then, your agent can select the right group ID and proceed with sending bulk messages.
Yep. Beyond standard SMS using `send_textp2p_sms`, you've got `send_textp2p_mms` for images, or `send_textp2p_rvm` to leave a voicemail.
The agent handles this using the `add_textp2p_contact` tool. It keeps track of where every contact record is stored, keeping your data contained.
This MCP server handles phone numbers and entire contact lists when you use its tools. Always verify consent before running any campaign.

Start using the TextP2P MCP today

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Built & Managed by Vinkius 30s setup 6 tools

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