Gallabox MCP Server for LangChain 12 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Gallabox through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"gallabox": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Gallabox, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Gallabox through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Gallabox MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 12 tools from Gallabox via MCP
Why Use LangChain with the Gallabox MCP Server
LangChain provides unique advantages when paired with Gallabox through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Gallabox MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Gallabox queries for multi-turn workflows
Gallabox + LangChain Use Cases
Practical scenarios where LangChain combined with the Gallabox MCP Server delivers measurable value.
RAG with live data: combine Gallabox tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Gallabox, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Gallabox tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Gallabox tool call, measure latency, and optimize your agent's performance
Gallabox MCP Tools for LangChain (12)
These 12 tools become available when you connect Gallabox to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Gallabox to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersGallabox + LangChain FAQ
Common questions about integrating Gallabox MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.