How to Use the CallPage MCP in Pydantic AI

Q: How do I add CallPage to Pydantic AI?

Install the slim package with MCP support. Create an MCPToolset using your Vinkius HTTP endpoint URL. Pass this toolset into your Agent constructor to expose the endpoints.

Build type-safe agents in Pydantic AI that validate every CallPage lead and callback record at runtime before taking action.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect CallPage MCP to Pydantic AI

Create your Vinkius account to connect CallPage 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.

GDPR Free for Subscribers

Setup CallPage with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Validate callback data with Pydantic AI

Fetching prospect records relies on the `list_leads` and `get_lead_details` tools. Every field returned by the CallPage API gets checked against your Pydantic models. If the system returns a missing phone number or malformed email, the agent throws a loud validation error immediately. Call history requires `list_calls` and `get_call_details`. You never have to worry about silent data corruption when passing recording URLs to other systems. The framework ensures the schema perfectly matches your expectations before the model even sees the payload.

Read widget settings safely

The `list_widgets` and `get_widget_settings` tools expose your callback form configurations. Your agent reads the exact business hours and prompt text currently active on your site. Because this is an MCP Server, it works natively with OpenAI, Anthropic, or local models. Reviewing automated messages uses `list_sms_templates`. If your agent needs to audit follow-up texts, it pulls the exact strings from your account. You just initialize `MCPToolset` with your Vinkius endpoint and pass it to the agent.

Map organizational structures

Pulling your sales team hierarchy happens through `list_departments` and `list_managers`. The agent knows exactly which manager oversees which callback queue. Strict typing guarantees the department IDs are integers, not hallucinated strings. Top-level configuration comes from `get_account_info`. Your system can verify the primary account manager before assigning new leads. The unified toolset approach handles the HTTP stream automatically so you can focus on building correct behavior.

Setup guide

Set up CallPage 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": {
        "callpage-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CallPage. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect CallPage now

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 CallPage MCP in Pydantic AI

Install the slim package with MCP support. Create an `MCPToolset` using your Vinkius HTTP endpoint URL. Pass this toolset into your Agent constructor to expose the endpoints.

Every response from the API is strictly typed. When your agent calls `get_lead_details`, the framework verifies the payload against your schema. Malformed data triggers an immediate runtime error.

The framework is completely model-agnostic. You can connect the CallPage tools to Llama 3 or Mistral running locally. The validation layer works the exact same way as it does with GPT-4.

Vinkius provides a Streamable HTTP endpoint for the server. You pass this URL directly into the toolset configuration. The deprecated `MCPServerHTTP` class is no longer required.

We isolate every single request. When your agent pulls manager email addresses or customer phone numbers, it happens inside a dedicated V8 engine. The environment is immediately wiped clean the second the data transfers to your client.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript