Wati MCP Server for LlamaIndex 7 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Wati as an MCP tool provider through 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 Wati. "
"You have 7 tools available."
),
)
response = await agent.run(
"What tools are available in Wati?"
)
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 Wati MCP Server
Connect your Wati account to any AI agent and power your customer communication on WhatsApp through natural conversation.
LlamaIndex agents combine Wati tool responses with indexed documents for comprehensive, grounded answers. Connect 7 tools through 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
- Unified Messaging — Send approved WhatsApp template messages or free-text session replies to your customers
- Contact Management — List all WhatsApp contacts in your Wati CRM and retrieve full profile details by phone number
- Chat History — Retrieve the recent message history for any contact to provide personalized support or sales follow-ups
- Template Discovery — List all approved and pending WhatsApp message templates available for outbound messaging
- Broadcast Campaigns — Monitor previous and active WhatsApp broadcast campaigns and track their delivery status
- Customer Roster — Quickly browse your customer list and their associated phone numbers directly from your agent
The Wati MCP Server exposes 7 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 Wati to LlamaIndex via MCP
Follow these steps to integrate the Wati 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 7 tools from Wati
Why Use LlamaIndex with the Wati MCP Server
LlamaIndex provides unique advantages when paired with Wati through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Wati tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Wati tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Wati, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Wati tools were called, what data was returned, and how it influenced the final answer
Wati + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Wati MCP Server delivers measurable value.
Hybrid search: combine Wati real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Wati 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 Wati for fresh data
Analytical workflows: chain Wati queries with LlamaIndex's data connectors to build multi-source analytical reports
Wati MCP Tools for LlamaIndex (7)
These 7 tools become available when you connect Wati to LlamaIndex via MCP:
get_whatsapp_chat_history
Provide the contact’s phone number. Retrieves the recent message history for a specific contact
get_whatsapp_contact_details
Retrieves profile details for a specific WhatsApp contact by phone number
list_broadcast_campaigns
Lists previous and active WhatsApp broadcast campaigns
list_whatsapp_contacts
Lists all WhatsApp contacts in the Wati CRM
list_whatsapp_templates
Lists all approved and pending WhatsApp message templates
send_session_message
Sends a free-text session message to a user
send_template_message
Requires the template name and target phone number. Sends an approved WhatsApp template message
Example Prompts for Wati in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Wati immediately.
"List all my WhatsApp contacts in Wati."
"Send the 'order_confirmation' template to +123456789."
"What was my last conversation with +123456789 about?"
Troubleshooting Wati MCP Server with LlamaIndex
Common issues when connecting Wati to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpWati + LlamaIndex FAQ
Common questions about integrating Wati 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 Wati 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 Wati to LlamaIndex
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.