gotoHuman MCP Server
Let your AI agents ask for human reviews in gotoHuman via MCP.
Review AI-generated content, approve critical actions or provide input.
An async webhook-based workflow for autonomous agents and AI automations.
Demo
This is Cursor on the left, but this could be a background agent that also reacts to the approval webhook to add an item to your list of newsletter ideas.
https://github.com/user-attachments/assets/380a4223-ea77-4e24-90a5-52669b77f56f
Setup
Get your API key and set up your review forms at app.gotohuman.com
# Install dependencies
npm install
# Build the server
npm run build
# For testing: Run the MCP inspector
npm run inspector
Tools
list-forms
List all available review forms.
- Returns a list of all available forms 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 form.
- Params
formId: The form 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 form ID for the reviewfieldData: Content (AI-output to review, context,...) and configuration for the form's fields.
The schema for this needs to be fetched with get-form-schemametadata: Optional additional data that will be incl. in the webhook response after form submissionassignToUsers: Optional list of user emails to assign the review to
- Returns a link to the review in gotoHuman
Use in MCP client
Cursor or Claude
{
"mcpServers": {
"gotoHuman": {
"command": "node",
"args": ["/<absolute-path>/build/index.js"],
"env": {
"GOTOHUMAN_API_KEY": "your-api-key"
}
}
}
}
[!NOTE] For Windows, the args path needs to be C:\\<absolute-path>\\build\\index.js
