Gallabox MCP Server for Pydantic AI 12 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Gallabox 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 Gallabox "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in Gallabox?"
)
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 Gallabox MCP Server
Connect your Gallabox account to any AI agent to automate your WhatsApp Business messaging and customer engagement through the Model Context Protocol (MCP). Gallabox is a leading WhatsApp automation platform that enables teams to handle shared inboxes, deploy bots, and send transactional notifications at scale. This MCP server enables you to send real-time messages, track chat histories, and manage your contact database directly through natural conversation.
Pydantic AI validates every Gallabox tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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.
Key Features
- WhatsApp Messaging — Send standard text messages or pre-approved rich media templates to your customers instantly.
- Chat Oversight — List all active WhatsApp conversations, check their current status, and monitor recent engagement.
- Message Threading — Fetch the complete message history for any specific conversation ID to maintain context before replying.
- Contact Management — Access your WhatsApp contact database, retrieve detailed profiles, and verify phone numbers.
- Template Discovery — List all approved message templates available in your account to ensure compliant outreach.
- Channel Management — Access configured WhatsApp Business channels and identify unique Channel IDs for routing.
- Workforce Collaboration — List support teams and verify your own profile metadata to optimize chat assignments.
- Real-time Synchronization — Keep your WhatsApp communication accessible to your AI assistant without leaving your primary workspace.
The Gallabox MCP Server exposes 12 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 Gallabox to Pydantic AI via MCP
Follow these steps to integrate the Gallabox 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 12 tools from Gallabox with type-safe schemas
Why Use Pydantic AI with the Gallabox MCP Server
Pydantic AI provides unique advantages when paired with Gallabox 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 Gallabox integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Gallabox connection logic from agent behavior for testable, maintainable code
Gallabox + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Gallabox MCP Server delivers measurable value.
Type-safe data pipelines: query Gallabox with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Gallabox tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Gallabox and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Gallabox responses and write comprehensive agent tests
Gallabox MCP Tools for Pydantic AI (12)
These 12 tools become available when you connect Gallabox to Pydantic AI via MCP:
get_chat_details
Get thread metadata
get_contact_details
Get contact metadata
get_my_profile
Get account profile
list_active_chats
List chat threads
list_message_templates
List WhatsApp templates
list_support_teams
List Gallabox teams
list_thread_messages
List message history
list_whatsapp_channels
List active channels
list_whatsapp_contacts
List chat contacts
send_whatsapp_template
Send template message
send_whatsapp_text
Send WhatsApp message
verify_api_connection
Check connection
Example Prompts for Gallabox in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Gallabox immediately.
"Send a WhatsApp message to '+1234567890' saying 'Hello from AI!'."
"List all my approved WhatsApp templates."
"Show the message history for conversation 'conv_987'."
Troubleshooting Gallabox MCP Server with Pydantic AI
Common issues when connecting Gallabox to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiGallabox + Pydantic AI FAQ
Common questions about integrating Gallabox 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 Gallabox 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 Gallabox to Pydantic AI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.