How do I find my HighLevel API v2 Access Token?

You can obtain an API v2 Access Token by creating an application in the **HighLevel Developer Portal** (marketplace.gohighlevel.com) and performing the OAuth 2.0 handshake. Ensure you grant the necessary scopes for contacts and opportunities.

Can I check calendar availability in real-time?

Yes! Use the `get_calendar_free_slots` tool by providing the calendar ID and a date range. The agent will return all available appointment slots for that period.

Does the integration support creating new opportunities?

Yes, you can use the `create_opportunity` tool. You must provide a JSON string containing the pipeline ID, stage ID, and contact details to add a new deal to your sales funnel.

Is the integration secure for CRM data?

Absolutely. The integration uses official HighLevel API v2 OAuth 2.0 Bearer tokens over HTTPS. Your credentials and customer data are encrypted and stored securely within the Vinkius Cloud infrastructure.

HighLevel MCP Server for Pydantic AI 11 tools — connect in under 2 minutes

Name: HighLevel
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 11 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect HighLevel through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to HighLevel "
            "(11 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in HighLevel?"
    )
    print(result.data)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Pydantic AI validates every HighLevel tool response against typed schemas, catching data inconsistencies at build time. Connect 11 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the HighLevel MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

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 11 tools from HighLevel with type-safe schemas

Why Use Pydantic AI with the HighLevel MCP Server

Pydantic AI provides unique advantages when paired with HighLevel through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your HighLevel integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your HighLevel connection logic from agent behavior for testable, maintainable code

HighLevel + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the HighLevel MCP Server delivers measurable value.

Type-safe data pipelines: query HighLevel with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple HighLevel tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query HighLevel and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock HighLevel responses and write comprehensive agent tests

HighLevel MCP Tools for Pydantic AI (11)

These 11 tools become available when you connect HighLevel to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting HighLevel to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

HighLevel + Pydantic AI FAQ

Common questions about integrating HighLevel MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your HighLevel MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.