MeatSpace

Official registry AI and agents

Human-in-the-loop for AI agents. Submit choices, get a human decision.

What can you do with MeatSpace?

  • Approval gates before destructive or irreversible actions (deploys, deletes, payments).
  • Subjective tie-breaks where the model is below its confidence threshold.
  • Tasteful judgment calls — copy choices, design preferences, ranking ties.
  • Escalation when an agent has run out of deterministic checks.

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

Remote (streamable-http)
Claude Code
claude mcp add --transport http meatspace 'https://meatspace.run/api/mcp' --header 'Authorization: <Bearer token for the ask_human tool. Optional — get_service_status and provision_api_key require no auth, so a fresh client can connect without credentials and call provision_api_key to mint a token instantly.>'
JSON configuration (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "meatspace": {
            "type": "http",
            "url": "https://meatspace.run/api/mcp",
            "headers": {
                "Authorization": "<Bearer token for the ask_human tool. Optional — get_service_status and provision_api_key require no auth, so a fresh client can connect without credentials and call provision_api_key to mint a token instantly.>"
            }
        }
    }
}

Documentation

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

Contents
  1. MeatSpace
  2. What it does
  3. Three integration methods
  4. Zero-setup self-service flow
  5. REST quickstart
  6. MCP
  7. Browser SDK
  8. Webhooks
  9. Discovery endpoints
  10. Errors
  11. Local development
  12. License

MeatSpace

Human-in-the-loop service for AI agents. When an agent hits a subjective, high-stakes, or ambiguous decision, MeatSpace routes it to a human who picks one of 2–4 options and returns a structured result.

Live at meatspace.run

What it does

An agent posts a title, optional content (text, markdown, HTML, or an image), and 2–4 labeled choices. A human reviewer is shown the request, picks one, and the API returns the selected id and label. The agent waits via long-poll or webhook.

Typical use cases:

  • Approval gates before destructive or irreversible actions (deploys, deletes, payments).
  • Subjective tie-breaks where the model is below its confidence threshold.
  • Tasteful judgment calls — copy choices, design preferences, ranking ties.
  • Escalation when an agent has run out of deterministic checks.

Don't use it when the task is deterministic, automatically verifiable, or low-stakes and easily reversible.

Three integration methods

MethodEndpointBest for
REST APIPOST /api/requestsAny HTTP client, custom agent frameworks, server-to-server.
MCPPOST /api/mcp (Streamable HTTP)Claude, Claude Code, MCP-compatible clients.
Browser SDK/sdk/meatspace.jsAgents running in a browser tab.

All three sit on the same backing API and accept the same Bearer token.

Zero-setup self-service flow

A new agent can fully onboard itself in three calls — no signup page, no approval queue, no human in the setup loop:

  1. POST /api/keys with {"name": "your-agent", "email": "owner@example.com"} → returns an API key instantly. Rate-limited to 5 keys per email.
  2. POST /api/requests with the Bearer token, your title, and choices → creates the review request.
  3. GET /api/requests/{id}/wait → blocks until the human responds, or times out and returns pending with a review_url and poll_url.

The same flow is available over MCP: initialize → tools/list → provision_api_key → ask_human. The provision_api_key and get_service_status tools require no auth, so a fresh MCP client can connect without credentials and bootstrap itself.

REST quickstart

Provision a key:

curl -X POST https://meatspace.run/api/keys \
  -H "Content-Type: application/json" \
  -d '{"name": "my-agent", "email": "you@example.com"}'

The response includes api_key — shown once, save it. All subsequent calls use Authorization: Bearer <token>.

Create a request:

curl -X POST https://meatspace.run/api/requests \
  -H "Authorization: Bearer $MEATSPACE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "agent_name": "my-agent",
    "title": "Ship v2.0 to production?",
    "content": "All tests pass. Staging looks good. 2 minor lint warnings.",
    "choices": [
      { "id": "ship", "label": "Ship it" },
      { "id": "wait", "label": "Wait for next cycle" }
    ],
    "confidence": 0.7,
    "consequence_of_wrong_choice": "Premature ship affects ~50k users"
  }'

Response:

{
  "success": true,
  "data": {
    "id": "uuid",
    "status": "pending",
    "review_url": "https://meatspace.run/review/uuid?token=opaque-review-token",
    "poll_url": "/api/requests/uuid",
    "expires_at": "2026-04-23T19:00:00.000Z"
  }
}

Long-poll for the result:

curl https://meatspace.run/api/requests/{id}/wait?timeout=25000 \
  -H "Authorization: Bearer $MEATSPACE_API_KEY"

Returns { status: "completed", selected, selected_label, responded_at } when the human responds, or 202 if still pending.

Optional fields on POST /api/requests: content_type (text default, markdown, html, image), decision_reason, confidence (0–1), consequence_of_wrong_choice, recommended_option, callback_url (must be HTTPS and host-allowlisted), metadata (passed through to the webhook), run_id, trace_id, timeout_seconds (default 3600, max 86400).

MCP

MeatSpace implements MCP over Streamable HTTP at https://meatspace.run/api/mcp. The server exposes three tools:

  • get_service_status — availability and escalation guidance. No auth.
  • provision_api_key — mint a Bearer token. No auth, rate-limited.
  • ask_human — submit a decision. Requires Bearer auth.

Claude Code config:

{
  "mcpServers": {
    "meatspace": {
      "type": "url",
      "url": "https://meatspace.run/api/mcp",
      "headers": {
        "Authorization": "Bearer <your-api-key>"
      }
    }
  }
}

ask_human long-polls for up to 20 seconds. If the human hasn't responded by then, the tool returns status: "pending" with a review_url (for the human) and a poll_url (for the agent).

Browser SDK

For agents running in browser contexts:

<script type="module">
  import { MeatSpace } from 'https://meatspace.run/sdk/meatspace.js';

  const ms = new MeatSpace();
  await ms.getKey({ name: 'browser-agent', email: 'agent@example.com' });

  const result = await ms.ask({
    agentName: 'browser-agent',
    title: 'Which option?',
    choices: [
      { id: 'a', label: 'A' },
      { id: 'b', label: 'B' },
    ],
  });
  console.log(result.selected);
</script>

Methods: getKey(), createRequest(), pollResult(), waitForResult(), ask() (create + wait).

Webhooks

If callback_url is set on the request, MeatSpace POSTs the result when the human responds:

{
  "event": "request.completed",
  "request_id": "uuid",
  "selected": "ship",
  "selected_label": "Ship it",
  "responded_at": "2026-04-23T18:10:00.000Z",
  "metadata": {}
}

callback_url must be https:// and the hostname must be explicitly allowlisted by the operator. If no allowlist is configured, request creation rejects callback URLs. Each delivery is signed with X-HITL-Timestamp and X-HITL-Signature headers.

Discovery endpoints

PathFormatPurpose
/.well-known/mcp.jsonJSONMCP server manifest
/.well-known/agent.jsonJSONA2A Agent Card
/api/openapiJSONOpenAPI 3.1 spec
/api/mcp (GET)JSONMCP server info, no auth
/api/statusJSONHealth check + agent guidance
/sdk/meatspace.jsJavaScriptBrowser SDK
/llms.txtTextLLM-readable summary
/llms-full.txtTextFull API documentation
/agents.mdMarkdownFull integration guide
/sitemap.xmlXMLSitemap
/robots.txtTextCrawler directives + discovery pointers

Errors

All errors return:

{
  "success": false,
  "error": "Human-readable message",
  "code": "machine_readable_code"
}

Common codes: agent_name_required, invalid_choice_count, content_too_large, callback_url_not_allowed, request_create_failed.

Local development

This repo is a Next.js 14 app deployed on Cloudflare Pages.

npm install
npm run dev          # local dev at http://localhost:3000
npm run test         # integration tests
npm run build:cf     # build for Cloudflare Pages
npm run deploy:cf    # build and deploy

Supabase is the system of record for keys and requests; Resend handles transactional email.

License

MIT

Frequently asked questions

What is MeatSpace?

Human-in-the-loop for AI agents. Submit choices, get a human decision.

How do I install MeatSpace?

It runs as a remote server. In Claude Code: claude mcp add --transport http meatspace 'https://meatspace.run/api/mcp' --header 'Authorization: <Bearer token for the ask_human tool. Optional — get_service_status and provision_api_key require no auth, so a fresh client can connect without credentials and call provision_api_key to mint a token instantly.>'. For other clients, paste the JSON configuration from this page into their MCP settings.

Does MeatSpace need an API key?

Yes. It expects Authorization, which you set in its configuration.

Is MeatSpace open source?

Its code is public on GitHub, but the repository does not declare a standard license.

Who maintains MeatSpace?

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

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.