gotoHuman

Community AI and agents

Human-in-the-loop platform - Allow AI agents and automations to send requests for approval to your gotoHuman inbox.

Install

The installation steps are in the documentation below. Documentation

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. gotoHuman MCP Server
  2. Usage
  3. Tools
  4. Development

gotoHuman MCP Server

gotoHuman makes it easy to add human approvals to AI agents and agentic workflows.
A fully-managed async human-in-the-loop workflow with a customizable approval UI.
Enjoy built-in auth, webhooks, notifications, team features, and an evolving training dataset.

Use our MCP server to request human approvals from your AI workflows or use it to help with integration.

Usage

Available on npm as:

@gotohuman/mcp-server
Setup in Cursor / Claude / etc.
{
  "mcpServers": {
    "gotoHuman": {
      "command": "npx",
      "args": ["-y", "@gotohuman/mcp-server"],
      "env": {
        "GOTOHUMAN_API_KEY": "your-api-key"
      }
    }
  }
}

Get your API key and set up an approval step at app.gotohuman.com

Tools

list-forms

List all available review types.

  • Returns a list of all available review types in your account incl. high-level info about the added fields ### get-form-schema Get the schema to use when requesting a human review for a given review type.
  • Params
    • formId: The review type ID to fetch the schema for
  • Returns the schema, considering the incl. fields and their configuration ### request-human-review-with-form Request a human review. Will appear in your gotoHuman inbox.
  • Params
    • formId: The ID of the review type to use
    • fieldData: Content (AI-output to review, context,...) and configuration for the review type's fields. The schema for this needs to be fetched with get-form-schema
    • config: Configuration for the review type. Optional. The schema for this needs to be fetched with get-form-schema
    • title: Optional title shown in the inbox and notifications
    • webhookUrl: Optional webhook URL for this request (Static URLs can be set on the review type or the agent in gotoHuman)
    • workflow: Optional object linking this review to a multi-step agentic workflow:
      • runId: Unique ID for the current workflow run to link multiple steps.
    • metadata: Optional additional data that will be incl. in the webhook response after review template submission
    • assignToUsers: Optional list of user emails to assign the review to
  • Returns reviewId and reviewLink

Development

# Install dependencies
npm install

# Build the server
npm run build

# For testing: Run the MCP inspector
npm run inspector
Run locally in MCP Client (e.g. Cursor / Claude / Windsurf)
  {
  "mcpServers": {
    "gotoHuman": {
      "command": "node",
      "args": ["/<absolute-path>/build/index.js"],
      "env": {
        "GOTOHUMAN_API_KEY": "your-api-key",
        "GOTOHUMAN_AGENT_ID": "your-agent-id"
      }
    }
  }
}

[!NOTE] For Windows, the args path needs to be C:\\<absolute-path>\\build\\index.js

Frequently asked questions

What is gotoHuman?

Human-in-the-loop platform - Allow AI agents and automations to send requests for approval to your gotoHuman inbox.

How do I install gotoHuman?

Follow the installation steps in its documentation, shown on this page and in its repository.

Is gotoHuman open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains gotoHuman?

It is published by gotohuman. AI.tn lists it but does not maintain or endorse it.

From the community awesome-mcp-servers lists and the project's GitHub repository. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.