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 CrewAI 11 tools — connect in under 2 minutes

Name: HighLevel
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 11 Tools Framework

Connect your CrewAI agents to HighLevel through Vinkius, pass the Edge URL in the `mcps` parameter and every HighLevel tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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

from crewai import Agent, Task, Crew

agent = Agent(
    role="HighLevel Specialist",
    goal="Help users interact with HighLevel effectively",
    backstory=(
        "You are an expert at leveraging HighLevel tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in HighLevel "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 11 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Ed25519Audit chain

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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.

When paired with CrewAI, HighLevel becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call HighLevel tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the HighLevel MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 11 tools from HighLevel

Why Use CrewAI with the HighLevel MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with HighLevel through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

HighLevel + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries HighLevel for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries HighLevel, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain HighLevel tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries HighLevel against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

HighLevel MCP Tools for CrewAI (11)

These 11 tools become available when you connect HighLevel to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

HighLevel + CrewAI FAQ

Common questions about integrating HighLevel MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.