Integration · MODEL CONTEXT PROTOCOL

gotoHuman MCP Server

gotoHuman MCP Server is a community-listed Model Context Protocol server. Review the source repository before installation.

WHAT IT CONNECTS

What gotoHuman MCP Server gives an AI Agent

The source catalog does not include a structured feature list. Review the repository documentation before use.

SECURITY

An MCP listing is not a security review

An MCP server may receive model context, credentials, local files, or permission to call external systems. Review its code, requested environment variables, network behavior, package provenance, and maintenance status before connecting it to an agent.

README

Repository documentation

gotoHuman Logo

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"
      }
    }
  }
}

Install MCP Server

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

View README on GitHub

COMMUNITY

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