HighLevel MCP Server for LangChain 11 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect HighLevel through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"highlevel": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using HighLevel, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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 HighLevel MCP Server
Connect your HighLevel (GoHighLevel) account to any AI agent and take full control of your sales pipeline, contact management, and scheduling through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with HighLevel through native MCP adapters. Connect 11 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
What you can do
- Contact Oversight — Perform advanced searches for leads, retrieve full profiles, and create new contact records effortlessly.
- Sales Pipelines — List pipelines and search for opportunities to monitor your deals and revenue flow.
- Appointment Management — Access your calendars, check for free slots in real-time, and book appointments directly from the chat.
- Task Coordination — List and create tasks for specific contacts to ensure follow-ups are never missed.
- Location Tracking — Retrieve location-specific tags to categorize and filter your data accurately.
- Unified CRM — Bridge the gap between your marketing and sales activities using the powerful API v2.
The HighLevel MCP Server exposes 11 tools through the Vinkius. Connect it to LangChain 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 HighLevel to LangChain via MCP
Follow these steps to integrate the HighLevel MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 11 tools from HighLevel via MCP
Why Use LangChain with the HighLevel MCP Server
LangChain provides unique advantages when paired with HighLevel through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine HighLevel MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across HighLevel queries for multi-turn workflows
HighLevel + LangChain Use Cases
Practical scenarios where LangChain combined with the HighLevel MCP Server delivers measurable value.
RAG with live data: combine HighLevel tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query HighLevel, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain HighLevel tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every HighLevel tool call, measure latency, and optimize your agent's performance
HighLevel MCP Tools for LangChain (11)
These 11 tools become available when you connect HighLevel to LangChain via MCP:
create_appointment
Book a new appointment on a calendar
create_contact
Pass payload as JSON string in "body_json" (requires firstName, email, or phone). Add a new contact/lead to HighLevel
create_contact_task
Assign a new task to a specific contact
get_calendar_free_slots
Check availability for a specific calendar
get_contact_details
Get detailed information for a specific contact
list_calendars
List all calendars available for a location
list_contact_tasks
List all tasks assigned to a specific contact
list_location_tags
List all custom tags for a location
list_pipelines
List sales pipelines for a specific location
search_contacts
Pass search criteria as a JSON string in "search_json". Search for contacts in HighLevel
search_opportunities
Search for opportunities within a pipeline
Example Prompts for HighLevel in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with HighLevel immediately.
"Search for contact 'John Doe' and show his pending tasks."
"Find free slots on the 'Sales Consultation' calendar for next Monday."
"Show me all opportunities in the 'Product Sales' pipeline."
Troubleshooting HighLevel MCP Server with LangChain
Common issues when connecting HighLevel to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersHighLevel + LangChain FAQ
Common questions about integrating HighLevel MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect HighLevel 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 HighLevel to LangChain
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.