How to Use the Wati MCP in Pydantic AI
Guarantee Wati data structure integrity using Pydantic AI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Wati MCP to Pydantic AI
Create your Vinkius account to connect Wati 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.
Handle contact records safely
The `get_whatsapp_contact_details` tool lets your agent fetch a user's profile. Because it uses Pydantic, if the API returns unexpected fields, your system fails loud with a validation error. No silent corruption—you know right away when the data structure is wrong.
Track and manage campaigns
You can use `list_broadcast_campaigns` to view all campaign status. The Pydantic validation guarantees that the list of campaigns you receive has predictable, structured fields. This level of type safety means your agent's business logic won't break just because Wati changed an internal field name.
Send messages with guaranteed payload
When sending a message using `send_template_message`, the tool ensures that the required template name and phone number are present. If the API response data is messy, Pydantic catches it. Correctness over speed. That's why you use this MCP Server.
Set up Wati 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 deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith 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 callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"wati-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to Wati tools.",
)
result = await agent.run("List recent Wati transactions")
print(result.output) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Wati. 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.
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 Wati MCP in Pydantic AI
Use it with your favorite AI tools
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Start using the Wati MCP today
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