Convertlab MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Convertlab 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 Convertlab. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Convertlab?"
)
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 Convertlab MCP Server
Empower your AI agent to orchestrate your marketing operations with Convertlab (DM Hub), the leading customer engagement and marketing automation platform in China. By connecting Convertlab to your agent, you transform complex customer segmentation, campaign tracking, and behavioral auditing into a natural conversation. Your agent can instantly list customers, retrieve detailed profile information, monitor marketing campaigns, and browse behavioral events without you ever needing to navigate the comprehensive DM Hub interface. Whether you are conducting a customer data audit or monitoring the performance of a high-volume campaign, your agent acts as a real-time marketing operations assistant, keeping your data accurate and your engagement moving.
LlamaIndex agents combine Convertlab tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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
- Customer Orchestration — List all DM Hub customers and retrieve detailed profile and membership information.
- Campaign Management — Browse active and historical marketing campaigns and retrieve detailed performance metadata.
- Event Auditing — List and retrieve detailed customer behavioral events to monitor engagement levels.
- Segmentation Control — Browse membership groups and identify customer segments for targeted activities.
- Operations Insights — Retrieve metadata about your marketing touchpoints and application status.
The Convertlab MCP Server exposes 8 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 Convertlab to LlamaIndex via MCP
Follow these steps to integrate the Convertlab 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 8 tools from Convertlab
Why Use LlamaIndex with the Convertlab MCP Server
LlamaIndex provides unique advantages when paired with Convertlab through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Convertlab tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Convertlab tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Convertlab, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Convertlab tools were called, what data was returned, and how it influenced the final answer
Convertlab + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Convertlab MCP Server delivers measurable value.
Hybrid search: combine Convertlab real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Convertlab 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 Convertlab for fresh data
Analytical workflows: chain Convertlab queries with LlamaIndex's data connectors to build multi-source analytical reports
Convertlab MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect Convertlab to LlamaIndex via MCP:
create_customer
Create a new customer
get_campaign
Get campaign details
get_customer
Get customer details
list_campaigns
List marketing campaigns
list_customers
List DM Hub customers
list_events
List marketing events
list_member_groups
List customer segments
list_touchpoints
List marketing touchpoints
Example Prompts for Convertlab in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Convertlab immediately.
"List all my DM Hub customers."
"Show me the details for campaign 'Spring-2026'."
"List all customer segmentation groups."
Troubleshooting Convertlab MCP Server with LlamaIndex
Common issues when connecting Convertlab to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpConvertlab + LlamaIndex FAQ
Common questions about integrating Convertlab 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 Convertlab 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 Convertlab to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.