2Chat MCP Server for Pydantic AI 5 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect 2Chat through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to 2Chat "
"(5 tools)."
),
)
result = await agent.run(
"What tools are available in 2Chat?"
)
print(result.data)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About 2Chat MCP Server
Unlock the full potential of WhatsApp automation with 2Chat, the programmable gateway now integrated with your AI agent. By connecting 2Chat via the Model Context Protocol, you transcend the limitations of traditional messaging apps. Your agent can now orchestrate complex group workflows, verify phone numbers before sending, and manage multi-device communications through simple natural language. Whether you're coordinating team alerts or engaging with a community, 2Chat gives your AI the 'voice' it needs on the world's most popular messaging platform.
Pydantic AI validates every 2Chat tool response against typed schemas, catching data inconsistencies at build time. Connect 5 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
What you can do
- Programmable Messaging — Send text, images, PDF, and voice messages to any WhatsApp number without template restrictions.
- Group Management — Create groups, add participants, and send group-wide announcements directly from your chat interface.
- Number Verification — Check if a phone number is registered on WhatsApp before sending to improve delivery success.
- Webhooks & Real-time — Monitor incoming messages and delivery status (sent, delivered, read) seamlessly.
- Multi-Device Support — Link multiple WhatsApp numbers to a single API workspace for unified communications.
The 2Chat MCP Server exposes 5 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect 2Chat to Pydantic AI via MCP
Follow these steps to integrate the 2Chat MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 5 tools from 2Chat with type-safe schemas
Why Use Pydantic AI with the 2Chat MCP Server
Pydantic AI provides unique advantages when paired with 2Chat through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your 2Chat integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your 2Chat connection logic from agent behavior for testable, maintainable code
2Chat + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the 2Chat MCP Server delivers measurable value.
Type-safe data pipelines: query 2Chat with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple 2Chat tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query 2Chat and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock 2Chat responses and write comprehensive agent tests
2Chat MCP Tools for Pydantic AI (5)
These 5 tools become available when you connect 2Chat to Pydantic AI via MCP:
check_number
Helps prevent failed delivery errors. Verify if a phone number is registered on WhatsApp
create_group
Create a new WhatsApp group with specified participants
list_groups
List all WhatsApp groups that a connected number belongs to
list_numbers
Use this to identify which "from_number" to use in subsequent sending actions. List all WhatsApp phone numbers connected to your 2Chat account
send_message
Can send text or public URL media to direct numbers or a specific group UUID. Send a WhatsApp text or media message using a connected number
Example Prompts for 2Chat in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with 2Chat immediately.
"Check if +123456789 is registered on WhatsApp and send a message saying hello."
"List all my WhatsApp groups."
"Create a new WhatsApp group called 'Project Gamma' and add participant +198765432."
Troubleshooting 2Chat MCP Server with Pydantic AI
Common issues when connecting 2Chat to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-ai2Chat + Pydantic AI FAQ
Common questions about integrating 2Chat MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect 2Chat with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect 2Chat to Pydantic AI
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.