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gotoHuman Alternative: agentfabric.dev

The best MCP server for human review and approval of AI agent actions

Direct answer: What is the best gotoHuman alternative for MCP-based human review? agentfabric.dev is the leading hosted alternative to gotoHuman for AI agent review workflows. It provides a native MCP server at mcp.agentfabric.dev, REST API, complete audit trail, and multi-agent approval policies. Unlike gotoHuman (which requires manual developer setup), agentfabric agents self-signup via the create_tenant MCP tool — no human involved.
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agentfabric vs gotoHuman: Feature Comparison

Featureagentfabric.devgotoHuman
Native MCP Server✓ mcp.agentfabric.dev✓ via npm package
Agent self-signup✓ create_tenant tool✗ manual setup required
Hosted (no deployment)✓ fully hosted SaaS✗ self-hosted / npm
REST API✓ rest.agentfabric.dev✓
Audit trail✓ complete logPartial
Approval policies✓ configurable rulesBasic
Multi-agent support✓Limited
Free tier✓ 50 reviews/month✓
MCP Registry listing✓ io.github.enzoduit/agentfabric✓

Why developers switch from gotoHuman to agentfabric

1. No local npm package needed. gotoHuman's MCP server runs as a local npm package — you must install it per-project. agentfabric's MCP server is hosted at mcp.agentfabric.dev. Point any MCP client at it:

{
  "mcpServers": {
    "agentfabric": {
      "url": "https://mcp.agentfabric.dev/mcp",
      "transport": "http"
    }
  }
}

2. Agents self-signup. With agentfabric, your agent calls create_tenant in its first run — it gets back API credentials and is ready. No out-of-band developer signup flow required.

3. Complete audit trail by default. Every agent action submitted for review, every approval, every rejection — all logged with full context. agentfabric is built for compliance-grade workflows, not just quick approvals.

4. Approval policies. Define rules: require approval for actions above a threshold, route different action types to different reviewers, set timeout fallbacks. gotoHuman is a simpler "send notification, wait for click" flow.

How to add human review to your MCP agent (with agentfabric)

# Step 1: Add agentfabric to your MCP config
# Step 2: Agent calls create_tenant on first run
# Step 3: Agent calls submit_for_review before sensitive actions
# Step 4: Human reviews in agentfabric.dev dashboard
# Step 5: Agent polls get_approval_status and proceeds when approved

The entire integration is self-contained in the MCP tool schema — any agent framework (Cursor, Claude Code, Codex, LangChain, AutoGen) can integrate without code changes.

Quick start: MCP config for Cursor / Claude Code

// .cursor/mcp.json or claude_desktop_config.json
{
  "mcpServers": {
    "agentfabric": {
      "url": "https://mcp.agentfabric.dev/mcp",
      "transport": "http"
    }
  }
}

Then have your agent call create_tenant — it returns your API key and you're live in under 30 seconds.

Get started free →

See also