gotoHuman MCP Server

@andyciggy

代码仓库

基本信息

分类

其他

许可证

MIT license

传输方式

stdio

作者

andyciggy

关于 gotoHuman MCP Server

暂无概览

#gotohuman#human-approval #ai-workflows

gotoHuman MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "gotohuman-mcp-server-andyciggy": {
      "command": "npx",
      "args": [
        "@gotohuman/mcp-server"
      ]
    }
  }
}

gotoHuman MCP Server 工具

List all available review templates. NOTE: You need to fetch the schema for the template fields first using the get-form-schema tool.

Get the partial schema ('fields' and 'config' (optional) properties) to be used when requesting a human review with the given review template.

Request a human review with a review template. NOTE: If you don't have a review template ID yet, list all available review templates using the list-forms tool first. To know what to pass for fieldData, you need to fetch the schema for the review template fields using the get-form-schema tool. For multi-step workflows, pass workflow with the same runId on each step and prevSteps listing prior reviewIds; use workflowRunId from the response when gotoHuman assigns a new runId.

概览

What is gotoHuman MCP Server?

A fully-managed MCP server that adds human approvals to AI agents and agentic workflows. It provides an async human-in-the-loop workflow with a customizable approval UI, built‑in auth, webhooks, notifications, team features, and an evolving training dataset. It enables requesting human reviews directly from AI workflows or integrating the approval step into an IDE.

How to use gotoHuman MCP Server?

Install via npx @gotohuman/mcp-server and set the GOTOHUMAN_API_KEY environment variable. Configure the server in your MCP client (Cursor, Claude, Windsurf) using the JSON snippet provided. Invoke the three available tools: list-forms, get-form-schema, and request-human-review-with-form.

Key features of gotoHuman MCP Server

Lists all available review forms
Returns the schema for a given form
Requests a human review with form data
Supports optional metadata and user assignment
Provides a link to the review in gotoHuman

Use cases of gotoHuman MCP Server

Adding human approval steps to autonomous AI agents
Enabling human‑in‑the‑loop reviews in background agent workflows
Integrating approval requests directly into IDE assistants
Collecting training data from human decisions on AI outputs

常见问题

What does this server do and how does it compare to alternatives?

It enables AI agents to request human approvals via MCP, with a managed UI, webhooks, and team features. The README does not compare it to other solutions.

What dependencies or runtime are required?

The server requires Node.js to run, as it is invoked via `npx` (or directly from a built JavaScript bundle).

Where does the data live?

All review forms and submissions are handled on the gotoHuman platform (app.gotohuman.com). No local storage details are provided.

What are the known limits of the server?

The README does not document any rate limits, concurrency limits, or other restrictions.

How is authentication and transport handled?

Authentication uses a `GOTOHUMAN_API_KEY` environment variable. Communication is over standard MCP transport.

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