How to Use the 2Chat MCP in Pydantic AI

Build type-safe WhatsApp workflows in Pydantic AI with strict runtime validation for every message sent.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect 2Chat MCP to Pydantic AI

Create your Vinkius account to connect 2Chat 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 2Chat with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Validate WhatsApp payloads at runtime with Pydantic AI

Avoid silent API failures and malformed payloads. When your agent calls `send_message`, this MCP Server ensures that every phone number, group UUID, and media URL matches strict schema definitions before hitting the wire. If the WhatsApp API returns unexpected data, Pydantic AI catches it instantly. Your application raises a validation error instead of passing corrupted strings downstream to your database.

Strictly typed group management pipelines

Manage your chat rooms without worrying about null values. The agent uses `list_groups` to get a structured list of active chats, and `create_group` to spin up new ones using strongly typed participant lists. Every field returned by these tools is validated against your Pydantic schemas. This guarantees that your agent always has clean, predictable objects to work with during runtime decision-making.

Prevent delivery errors with strict number checks

Before routing critical alerts, your workflow can query `check_number` to verify WhatsApp registration. The tool response is parsed directly into a boolean model, preventing your agent from guessing if a target is valid. You can combine this with `list_numbers` to verify that your outbound sender identity is active. If a sender goes offline, the validation layer catches the missing ID and halts the run safely.

Setup guide

Set up 2Chat 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": {
        "2chat-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to 2Chat tools.",
)

result = await agent.run("List recent 2Chat 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 2Chat. 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 2Chat 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 2Chat MCP in Pydantic AI

Use the MCPToolset constructor with your Vinkius HTTP endpoint. Pass the toolset into your Agent's toolsets parameter to expose the WhatsApp functions.

The framework immediately raises a validation error. This prevents corrupted WhatsApp data from silently breaking your downstream application logic.

Yes. Because the toolset is model-agnostic, you can route your WhatsApp group and message management through local LLMs or commercial APIs.

Yes. The MCP toolset integrates directly with your async event loops, allowing your agent to check numbers and send media without blocking other tasks.

All API requests are protected by end-to-end token authentication. Your WhatsApp credentials and message payloads are processed in memory and never stored on disk.

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