How to Use the LeadConnector MCP in LlamaIndex

Q: Does LeadConnector work with LlamaIndex filters?

You can use the allowedtools filter to restrict which CRM functions the agent accesses. This gives you granular control over data exposure.

Turn LeadConnector data into a searchable knowledge base inside LlamaIndex for grounded AI responses.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect LeadConnector MCP to LlamaIndex

Create your Vinkius account to connect LeadConnector to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup LeadConnector with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Index CRM records for retrieval

LlamaIndex takes the output from `list_contacts` and pushes it into a vector store. This creates a searchable index of your lead information. Your agent answers questions by querying this index rather than guessing. It provides accurate information based on your actual CRM data.

Ground agent answers in LeadConnector

You use `list_opportunities` to seed the knowledge base with current deal statuses. The agent then references these facts to avoid hallucinations. It links user queries to specific CRM records. You get answers that reflect the reality of your pipeline.

Query past CRM sessions

The MCP server feeds historical appointment data from `list_appointments` into your index. You can ask questions about past client interactions. This makes your historical data queryable. You turn raw API responses into a persistent memory for your agent.

Setup guide

Set up LeadConnector MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all LeadConnector MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to LeadConnector tools.",
)
response = await agent.run("List recent LeadConnector data")

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by LeadConnector (GoHighLevel). All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect LeadConnector now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about LeadConnector MCP in LlamaIndex

Use the BasicMCPClient to connect to the server and wrap it in McpToolSpec. Convert these to a tool list and pass them to your FunctionAgent.

Yes, by indexing the tool outputs into a vector store, LlamaIndex allows for semantic search across your CRM data.

You can use the allowed_tools filter to restrict which CRM functions the agent accesses. This gives you granular control over data exposure.

LlamaIndex manages the chunking and indexing process. You configure the agent to handle the incoming data streams from the MCP server.

The server transmits contact and appointment records over encrypted channels. Only the data the agent explicitly retrieves enters your local index.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

Start using the LeadConnector MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Get started