How to Use the ClickSend MCP in Pydantic AI

Q: Does Pydantic AI support sending physical letters via ClickSend?

Yes, the getphysicalmailhistory tool is available to track printed mail. The agent validates the returned shipping status against your schema.

Run type-safe, validated SMS and mail operations with the ClickSend MCP Server inside Pydantic AI.

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Connect ClickSend MCP to Pydantic AI

Create your Vinkius account to connect ClickSend 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 ClickSend with Pydantic AI

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Type-Safe Messaging with Pydantic AI

Your Pydantic AI agent guarantees structured data validation when calling `send_clicksend_sms`. If the MCP tool returns a response that violates your schema, the framework raises a runtime exception. Before dispatching, the agent checks your balance with `get_clicksend_account_info`. The returned monetary values are cast into strict Python types instantly.

Validated History Extraction

Fetch message logs using `get_sms_outbound_history` and `get_voice_call_history` without risking silent data corruption. Pydantic AI parses the JSON payload against your defined models. This strict parsing ensures that missing fields in old voice logs never break your application logic. The agent stops execution immediately if validation fails.

Inbox and Campaign Audits

Read inbound responses via `list_received_sms` and active campaigns through `list_sms_marketing_campaigns`. The agent maps every contact from `list_clicksend_contacts` to a validated Python class. You avoid passing unverified strings to your downstream databases. Every phone number must match the E.164 format before the agent accepts it.

Setup guide

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

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

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

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Common questions about ClickSend MCP in Pydantic AI

Pass the Vinkius server URL to the MCPToolset constructor in your Python code. Then, register this toolset directly with your agent.

Pydantic AI raises a validation error immediately. This prevents your agent from making decisions based on malformed or hallucinated SMS data.

Yes, the get_physical_mail_history tool is available to track printed mail. The agent validates the returned shipping status against your schema.

Yes, because this framework is model-agnostic. You can bind these tools to local LLMs or any commercial API provider.

Your SMS content and recipient phone numbers are processed in-memory within your validated Python runtime. Vinkius secures the MCP transport layer and manages API tokens, ensuring no sensitive messaging data is exposed to public logs.

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