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HighLevel MCP Server
for AI Agents

Connect your AI agent to StackOne's HighLevel MCP server and give it ready-to-use MCP tools out of the box. Auth, tool execution, and security all managed.

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HighLevel MCP Server
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12 Agent Actions

Create, read, update, and delete across HighLevel — and extend your agent's capabilities with custom actions.

Authentication

Agent Tool Authentication

Per-user OAuth in one call. Your HighLevel MCP server gets session-scoped tokens with zero credentials stored on your infra.

Agent Auth →

Security

Agent Protection

Every HighLevel tool response scanned for prompt injection in milliseconds — 88.7% accuracy, all running on CPU.

Prompt Injection Defense →

Performance

Max Agent Context. Min Cost.

Free up to 96% of your agent's context window to enhance reasoning and reduce cost, on every HighLevel call.

Tools Discovery →

What is the HighLevel MCP Server?

A HighLevel MCP server lets AI agents read and write HighLevel data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's HighLevel MCP server ships with pre-built actions, fully extensible via the Connector Builder — plus managed authentication, prompt injection defense, observability, and agent execution runtime. Connect it from MCP clients like Claude Desktop, Claude Code, Cursor, Goose, and VS Code, or from agent frameworks like OpenAI Agents SDK, LangChain, and Vercel AI SDK.

All HighLevel MCP Tools

Every action from HighLevel's API, ready for your agent. Create, read, update, and delete — scoped to exactly what you need.

Agencys

  • Get Agency

    Get the HighLevel agency (company) record.

Unified Credentials

  • Get Unified Credentials

    Get the current HighLevel connection's unified credentials and identity.

Unified Organizations

  • List Unified Organizations

    List unified organizations (sub-accounts) in a HighLevel agency.

  • Get Unified Organization

    Get a unified HighLevel organization (sub-account) by ID.

Unified Roles

  • List Unified Roles

    List unified roles in a HighLevel agency.

  • Get Unified Role

    Get a unified HighLevel role by ID.

Unified Users

  • List Unified Users

    List unified users in a HighLevel agency or sub-account.

  • Get Unified User

    Get a unified HighLevel user by ID.

Sub-Accounts

  • List Sub-Accounts

    Search the sub-accounts (locations) of a HighLevel agency.

  • Get Sub-Account

    Get a HighLevel sub-account (location) by ID.

Users

  • List Users

    Search agency and sub-account users in a HighLevel agency.

  • Get User

    Get a HighLevel user by ID.

HighLevel AI Agent Use Cases

Connect your AI agent to HighLevel and help your team scale the sales operations they run by hand today.

Post-Demo Follow-Up

Use StackOne to connect your AI agent to your CRM, email, and calendar tools to automate post-demo follow-up.

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Deal Risk Scoring

Use StackOne to connect your AI agent to your CRM, email, and calendar tools to automate deal risk scoring and pipeline alerts.

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SalesforceHubSpotPipedriveZoho CRMCloseFreshsalesGmailOutlook
Outbound Prospecting

Use StackOne to connect your AI agent to your CRM, sales engagement, and messaging tools to automate outbound prospecting.

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Set Up Your HighLevel MCP Server in Minutes

One endpoint. Any framework. Your agent is talking to HighLevel in under 10 lines of code.

Agent Frameworks

Claude Desktop
{
  "mcpServers": {
    "stackone": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote@latest",
        "https://api.stackone.com/mcp?x-account-id=<account_id>",
        "--header",
        "Authorization: Basic <YOUR_BASE64_TOKEN>"
      ]
    }
  }
}

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HighLevel MCP Server FAQ

Does StackOne have a HighLevel MCP server?
Yes. StackOne offers a hosted HighLevel MCP server, and every action is tested and QA'd by StackOne. Connect it to Claude, Cursor, and any other MCP client, or to any agent framework through the AI Action SDK. It ships with managed agent authentication, prompt injection defense, and tool discovery with server-side execution that preserve your agent's context window and keep reasoning performance.
HighLevel MCP server vs direct API integration — what's the difference?
A HighLevel MCP server and direct API integration serve different use cases. Direct API integration is for software-to-software — backend code calling HighLevel. A HighLevel MCP server is for AI agents — MCP clients like Claude and Cursor, plus framework agents built with OpenAI, LangChain, or Vercel AI — discovering and calling HighLevel at runtime. StackOne provides both.
How does HighLevel authentication work for AI agents?
HighLevel authentication for AI agents works through a StackOne Connect Session. Create one via the dashboard or the SDK — you get an auth link and ready-to-paste config for Claude Desktop, Cursor, and other MCP clients. Your user authenticates their own HighLevel account; StackOne handles token exchange, storage, and refresh. Credentials never reach the LLM, and each user is isolated via origin_owner_id.
Are HighLevel MCP tools vulnerable to prompt injection?
Yes — HighLevel MCP tools can be vulnerable to indirect prompt injection. Any tool that reads user-written content — documents, messages, tickets, records, or free-text fields — is a potential vector. StackOne Defender scans every tool response before it enters the agent's context — regex patterns in ~1ms, then a MiniLM classifier in ~4ms. 88.7% accuracy, CPU-only.
What is the context bloat of a HighLevel agent and how do I avoid it?
Context bloat happens when HighLevel tool schemas and API responses eat your HighLevel agent's memory, preventing it from reasoning effectively. A single HighLevel query can return a massive JSON response, and connecting multiple tools compounds the problem. Tools Discovery and Code Mode reduce context bloat — loading only relevant tools per query and keeping raw responses out of the agent's context.
Can I limit which actions my HighLevel agent can access?
Yes — you can limit which actions your HighLevel agent can access directly from the StackOne dashboard. Toggle actions on or off, or restrict them to specific accounts, with no code changes to your agent. Session tokens can be scoped to exact actions so if one leaks, exposure stays contained.
Can I create custom agent actions for my HighLevel MCP server?
Yes — you can create custom agent actions for your HighLevel MCP server using Connector Builder. It's an integration agent your coding assistant (Claude Code, Cursor, or Copilot) can invoke to research HighLevel's API, generate production-ready connector YAML, test against the live API, and validate before you ship.
When should I NOT use a HighLevel MCP server?
Skip a HighLevel MCP server if your integration is purely software-to-software — direct HighLevel API integration is simpler when no AI agent is involved. For deterministic, compliance-critical operations (financial transactions, regulatory reporting), direct API gives you predictable behavior without agent-driven decision-making. MCP shines when AI agents need to dynamically discover and call HighLevel actions at runtime.
What AI frameworks and AI clients does the StackOne HighLevel MCP server support?
The StackOne HighLevel MCP server supports both. MCP clients (paste-and-go apps): Claude Desktop, Claude Code, Cursor, VS Code, Goose. Agent frameworks (code SDKs you build with): OpenAI Agents SDK, Anthropic, Vercel AI, Google ADK, CrewAI, Pydantic AI, LangChain, LangGraph, Azure AI Foundry.

Put your AI agents to work

All the tools you need to build and scale AI agent integrations, with best-in-class connectivity, execution, and security.