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Gupshup Messaging MCP Server for Pydantic AI 6 tools — connect in under 2 minutes

Built by Vinkius GDPR 6 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Gupshup Messaging through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

Vinkius supports streamable HTTP and SSE.

python
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 Gupshup Messaging "
            "(6 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Gupshup Messaging?"
    )
    print(result.data)

asyncio.run(main())
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About Gupshup Messaging MCP Server

Connect Gupshup to any AI agent and automate your WhatsApp Business communications — send template messages, media, interactive buttons, and reactions through natural conversation.

Pydantic AI validates every Gupshup Messaging tool response against typed schemas, catching data inconsistencies at build time. Connect 6 tools through the 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

  • Template Messages — Send pre-approved WhatsApp templates for notifications and alerts
  • Free Text — Send quick text messages within the 24-hour session window
  • Media Sharing -- Share images, videos, audio, and documents via public URLs
  • Interactive Buttons -- Send quick reply buttons to engage users
  • Reactions -- React to specific messages with emojis

The Gupshup Messaging MCP Server exposes 6 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 Gupshup Messaging to Pydantic AI via MCP

Follow these steps to integrate the Gupshup Messaging MCP Server with Pydantic AI.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 6 tools from Gupshup Messaging with type-safe schemas

Why Use Pydantic AI with the Gupshup Messaging MCP Server

Pydantic AI provides unique advantages when paired with Gupshup Messaging through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Gupshup Messaging integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your Gupshup Messaging connection logic from agent behavior for testable, maintainable code

Gupshup Messaging + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Gupshup Messaging MCP Server delivers measurable value.

01

Type-safe data pipelines: query Gupshup Messaging with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple Gupshup Messaging tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query Gupshup Messaging and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock Gupshup Messaging responses and write comprehensive agent tests

Gupshup Messaging MCP Tools for Pydantic AI (6)

These 6 tools become available when you connect Gupshup Messaging to Pydantic AI via MCP:

01

get_template_info

Get information about a specific template

02

send_interactive_message

Provide up to 3 buttons in a JSON array. Send an interactive message with buttons

03

send_media_message

Type can be image, video, audio, or document. Send a media message (Image, Video, Document, Audio)

04

send_reaction

React to a message with an emoji

05

send_template_message

Provide recipient phone number, template name, language code (e.g., en_US), and an array of string parameters to fill the template. Send a WhatsApp template message

06

send_text_message

Send a free-form text message

Example Prompts for Gupshup Messaging in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Gupshup Messaging immediately.

01

"Send a template 'order_confirmation' in en_US to 5511999999999 with params ['12345']."

02

"Send an interactive message to 5511999999999 asking 'Did you receive your order?' with buttons 'Yes' and 'No'."

03

"React with a thumbs up emoji to message ID msg_123 for user 5511999999999."

Troubleshooting Gupshup Messaging MCP Server with Pydantic AI

Common issues when connecting Gupshup Messaging to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Gupshup Messaging + Pydantic AI FAQ

Common questions about integrating Gupshup Messaging MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your Gupshup Messaging MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect Gupshup Messaging to Pydantic AI

Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.