How to Use the Chiirp MCP in Pydantic AI

Q: How do I configure the Chiirp MCP Server in Pydantic AI?

You initialize MCPToolset with your Vinkius HTTP endpoint and pass it to your Agent constructor. This exposes tools like getcontact and updatecontact with full type safety.

Q: Can I use Pydantic AI to validate Chiirp automation sequences?

Yes, when the agent calls listsequences, Pydantic AI validates the structure of each sequence. This allows your agent to safely choose the correct automation path over MCP based on strict schema rules.

Build type-safe marketing pipelines with Pydantic AI and run runtime-validated Chiirp campaign actions over an MCP Server.

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Create your Vinkius account to connect Chiirp 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 Chiirp with Pydantic AI

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Strict contact validation with Pydantic AI

The `create_contact` tool requires a valid phone number to register a new user. Pydantic AI enforces this constraint at runtime, parsing the API response against strict schemas to ensure no empty or corrupted contact records enter your system. If the server returns unexpected data, the framework raises a validation error immediately. This prevents your agent from proceeding with broken state data, protecting your downstream SMS automations from failing silently.

Type-safe tag management with this MCP Server

The `list_tags` tool fetches all available tags from your Chiirp account. Pydantic AI maps this payload to a typed Python model, allowing your agent to verify that a tag exists before calling `apply_tag` or `remove_tag`. This strict typing eliminates runtime errors caused by typos in tag names. Your agent can confidently segment contacts, knowing that every tag operation matches your actual database schema.

Validating campaign configurations

The `list_campaigns` tool returns your active marketing campaigns. Pydantic AI parses this list into structured models, making it easy for your agent to verify campaign statuses before adding contacts to them. If a campaign structure changes on the platform, the framework alerts you immediately. This keeps your automated email and voicemail workflows running predictably without relying on fragile string parsing.

Setup guide

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

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

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

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Common questions about Chiirp MCP in Pydantic AI

You initialize `MCPToolset` with your Vinkius HTTP endpoint and pass it to your `Agent` constructor. This exposes tools like `get_contact` and `update_contact` with full type safety.

The framework raises a validation error instead of passing bad data to your agent. This ensures that tools like `get_profile` or `get_contact` never corrupt your local application state.

Yes, when the agent calls `list_sequences`, Pydantic AI validates the structure of each sequence. This allows your agent to safely choose the correct automation path over MCP based on strict schema rules.

Yes, the framework natively supports async execution. You can run `search_contacts` and `update_contact` asynchronously to handle high-volume lead updates without blocking your main event loop.

Your API tokens are managed securely by Vinkius and never exposed to the client. All contact data parsed by Pydantic AI is processed in-memory in your local environment and discarded immediately after execution.

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