How to Use the TextGrid MCP in OpenAI Agents SDK
Build production messaging agents using the OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect TextGrid MCP to OpenAI Agents SDK
Create your Vinkius account to connect TextGrid to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Gemini
Key Capabilities
Manage account status and costs.
The `get_account_details` tool pulls your profile info and current balance. You instantly see how much credit you have left, which is key for budget checks. The agent also uses `get_usage_statistics` to pull detailed cost records. This helps you track spending by specific service usage over time.
Send SMS and MMS messages.
Need to send a message? The agent calls `send_sms_message`, which transmits both standard text (SMS) or picture-heavy content (MMS). It handles the routing for you. If you need to send bulk alerts, the system lets your AI client call `list_sms_messages` first. This gives a history of recent sent and received texts.
Handle voice calls and numbers.
Starting a conversation is simple with `initiate_voice_call`. The agent manages the connection setup so you don't have to write complex telephony logic. It just works. Furthermore, if your AI client needs a number, it can run `search_available_numbers` or use `list_active_phone_numbers` to check what addresses are ready for calls.
Set up TextGrid MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all TextGrid tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives TextGrid tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate TextGrid tools and returns structured results. Copy the full example on the right to get started.
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="TextGrid Agent",
instructions="You have access to TextGrid 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 TextGrid. 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.
Why Choose Vinkius
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Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about TextGrid MCP in OpenAI Agents SDK
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