Gupshup Messaging MCP Server for LangChain 6 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Gupshup Messaging through the 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({
"gupshup-messaging": {
"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 Gupshup Messaging, 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 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.
LangChain's ecosystem of 500+ components combines seamlessly with Gupshup Messaging through native MCP adapters. Connect 6 tools via the 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.
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 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 Gupshup Messaging to LangChain via MCP
Follow these steps to integrate the Gupshup Messaging 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 6 tools from Gupshup Messaging via MCP
Why Use LangChain with the Gupshup Messaging MCP Server
LangChain provides unique advantages when paired with Gupshup Messaging through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine Gupshup Messaging 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 Gupshup Messaging queries for multi-turn workflows
Gupshup Messaging + LangChain Use Cases
Practical scenarios where LangChain combined with the Gupshup Messaging MCP Server delivers measurable value.
RAG with live data: combine Gupshup Messaging tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Gupshup Messaging, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Gupshup Messaging tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Gupshup Messaging tool call, measure latency, and optimize your agent's performance
Gupshup Messaging MCP Tools for LangChain (6)
These 6 tools become available when you connect Gupshup Messaging to LangChain via MCP:
get_template_info
Get information about a specific template
send_interactive_message
Provide up to 3 buttons in a JSON array. Send an interactive message with buttons
send_media_message
Type can be image, video, audio, or document. Send a media message (Image, Video, Document, Audio)
send_reaction
React to a message with an emoji
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
send_text_message
Send a free-form text message
Example Prompts for Gupshup Messaging in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Gupshup Messaging immediately.
"Send a template 'order_confirmation' in en_US to 5511999999999 with params ['12345']."
"Send an interactive message to 5511999999999 asking 'Did you receive your order?' with buttons 'Yes' and 'No'."
"React with a thumbs up emoji to message ID msg_123 for user 5511999999999."
Troubleshooting Gupshup Messaging MCP Server with LangChain
Common issues when connecting Gupshup Messaging to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersGupshup Messaging + LangChain FAQ
Common questions about integrating Gupshup Messaging 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 Gupshup Messaging 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 Gupshup Messaging to LangChain
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.