Gupshup Messaging MCP Server for LlamaIndex 6 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Gupshup Messaging as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Gupshup Messaging. "
"You have 6 tools available."
),
)
response = await agent.run(
"What tools are available in Gupshup Messaging?"
)
print(response)
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.
LlamaIndex agents combine Gupshup Messaging tool responses with indexed documents for comprehensive, grounded answers. Connect 6 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Gupshup Messaging MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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 6 tools from Gupshup Messaging
Why Use LlamaIndex with the Gupshup Messaging MCP Server
LlamaIndex provides unique advantages when paired with Gupshup Messaging through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Gupshup Messaging tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Gupshup Messaging tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Gupshup Messaging, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Gupshup Messaging tools were called, what data was returned, and how it influenced the final answer
Gupshup Messaging + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Gupshup Messaging MCP Server delivers measurable value.
Hybrid search: combine Gupshup Messaging real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Gupshup Messaging to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Gupshup Messaging for fresh data
Analytical workflows: chain Gupshup Messaging queries with LlamaIndex's data connectors to build multi-source analytical reports
Gupshup Messaging MCP Tools for LlamaIndex (6)
These 6 tools become available when you connect Gupshup Messaging to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Gupshup Messaging to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpGupshup Messaging + LlamaIndex FAQ
Common questions about integrating Gupshup Messaging MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.