How to Use the CallFire MCP in Pydantic AI

Q: How do I configure CallFire with Pydantic AI?

Install the slim MCP package and pass the Vinkius URL to MCPToolset. The framework handles the transport layer automatically.

Q: Can Pydantic AI agents read CallFire campaigns?

Yes, the agent uses getcampaign to inspect broadcast configurations. Every field gets validated against your defined models.

Q: Does the toolset handle pagination for calls?

The underlying listcalls tool returns structured arrays. Your agent parses these lists natively.

Build type-safe Pydantic AI agents that validate every CallFire message and campaign record.

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Connect CallFire MCP to Pydantic AI

Create your Vinkius account to connect CallFire 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 CallFire with Pydantic AI

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Validate CallFire MCP Server Data

Silent corruption kills production pipelines. Integrating this toolset ensures every API response from your communication platform matches strict Pydantic models. Your agent calls `list_campaigns` and immediately verifies the schema. If the broadcast API returns an unexpected field, the system fails loudly instead of hallucinating metrics.

Inspect Texts and Calls

Pulling communication logs through this MCP Server requires exact data structures. The agent executes `list_calls` to fetch voice broadcast histories across your account. Digging into individual records happens through `get_call` or `get_text`. You get guaranteed, strongly-typed timestamps and delivery statuses for every outbound message.

Sync Contacts via Pydantic AI

Managing high-volume outreach means knowing exactly who you target. Requesting `list_contacts` feeds your model-agnostic agent the exact subscriber list. Verifying event triggers works the same way. The agent runs `list_webhooks` and `get_webhook` to confirm your callback URLs are configured correctly.

Setup guide

Set up CallFire 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": {
        "callfire-alternative-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

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Common questions about CallFire MCP in Pydantic AI

Install the slim MCP package and pass the Vinkius URL to `MCPToolset`. The framework handles the transport layer automatically.

Yes, the agent uses `get_campaign` to inspect broadcast configurations. Every field gets validated against your defined models.

Because Pydantic AI is model-agnostic, you can use any supported LLM. They all interact with the MCP Server tools identically.

The underlying `list_calls` tool returns structured arrays. Your agent parses these lists natively.

Phone numbers and webhook URLs live strictly inside an ephemeral V8 sandbox. The MCP Server wipes all state after the validation cycle finishes.

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

Mastra AI sdk-typescript

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