How to Use the GoTo Connect MCP in Pydantic AI

Build type-safe telephony agents for Pydantic AI with the GoTo Connect MCP Server, ensuring every call record is validated at runtime.

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Connect GoTo Connect MCP to Pydantic AI

Create your Vinkius account to connect GoTo Connect to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup GoTo Connect with Pydantic AI

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Perplexity

Strict Data Validation

Pydantic AI checks every response from `get_user` or `list_contacts` against your models. If the API returns garbage, the agent stops before it can cause logic errors. This ensures your agent only acts on data that matches your expected schema. You get a clean, predictable flow for all communication tasks.

Reliable SMS Dispatch

Sending messages via `send_sms` is safer when your agent validates the input parameters first. It prevents malformed requests from hitting the GoTo Connect API. You define the schema for your SMS content, and the agent enforces it before the tool is even called. It removes the risk of silent failures during message delivery.

Controlled Log Retrieval

Fetching `list_sms_messages` or `get_call_records` returns structured data that your models handle natively. You never have to guess the shape of the API response. Your agent parses the records with full type safety, making it easy to build logic around call history. It turns the GoTo Connect output into reliable objects for your code.

Setup guide

Set up GoTo Connect MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "goto-connect-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to GoTo Connect tools.",
)

result = await agent.run("List recent GoTo Connect transactions")
print(result.output)

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Common questions about GoTo Connect MCP in Pydantic AI

It guarantees that the data from your phone system matches your requirements. You avoid runtime errors caused by unexpected API field changes.

Yes, if the server output doesn't fit your defined model, the agent will throw a validation error immediately. This prevents corrupted data from entering your system.

You define your Pydantic models for the tool outputs in your agent code. The MCP Server provides the raw data, and your models enforce the structure.

It uses standard HTTP or SSE transports, making it reliable for persistent agents. Your Pydantic AI setup will handle the connection as long as the server is reachable.

The server operates in a zero-trust environment. Your data, including contact lists and SMS history, is processed in memory and never written to permanent storage.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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