Gallabox MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Gallabox as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 Gallabox. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Gallabox?"
)
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 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.
LlamaIndex agents combine Gallabox tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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.
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 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 Gallabox to LlamaIndex via MCP
Follow these steps to integrate the Gallabox 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 12 tools from Gallabox
Why Use LlamaIndex with the Gallabox MCP Server
LlamaIndex provides unique advantages when paired with Gallabox through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Gallabox tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Gallabox tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Gallabox, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Gallabox tools were called, what data was returned, and how it influenced the final answer
Gallabox + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Gallabox MCP Server delivers measurable value.
Hybrid search: combine Gallabox real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Gallabox 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 Gallabox for fresh data
Analytical workflows: chain Gallabox queries with LlamaIndex's data connectors to build multi-source analytical reports
Gallabox MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect Gallabox to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Gallabox to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpGallabox + LlamaIndex FAQ
Common questions about integrating Gallabox 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 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 LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.