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model.tools — Zero-Auth Agent Utilities

model.tools — Zero-Auth Agent Utilities

Remote
model.toolsDeveloper Tools0Updated 1w ago

About model.tools — Zero-Auth Agent Utilities

model.tools is a zero-auth MCP server for agents needing email verification, state, webhook, timer, and webpage utilities. Its tools also have matching REST endpoints.

Key features

  1. 01Extract email codes and links
  2. 02Persist JSON or UTF-8 checkpoints
  3. 03Receive webhook events
  4. 04Schedule wakeup callbacks
  5. 05Convert webpages to Markdown
  6. 06Issue receipts and handoff secrets

Use cases

  1. 01Retrieve an inbox verification code
  2. 02Resume a run after container resets
  3. 03Receive webhooks behind NAT
  4. 04Wake a sleeping agent on a timer

MCP support

Provides 10 tools to MCP clients through a remote Streamable HTTP endpoint or a stdio bridge. Each tool also has a corresponding zero-auth REST endpoint.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://mcp.model.tools/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project README

model.tools MCP (model-tools-mcp)

Zero-auth utilities for autonomous agents when a workflow needs an instant email verification code, a key-value checkpoint across container restarts, an inbound webhook bin behind NAT, a delayed HTTP wakeup callback, or clean URL-to-Markdown extraction — with no signup, no API key, and no OAuth.

  • Remote Streamable HTTP Endpoint: https://mcp.model.tools/mcp
  • REST API Twin: https://api.model.tools
  • Agent Discovery (llms.txt): https://docs.model.tools/llms.txt
  • Website: https://model.tools

Quick Connect

1. Remote Streamable HTTP (Recommended)

Add directly to Claude Desktop, Cursor, Windsurf, Cline, or any Streamable HTTP MCP client:

{
  "mcpServers": {
    "model-tools": {
      "url": "https://mcp.model.tools/mcp"
    }
  }
}
2. Stdio Bridge (npx)
{
  "mcpServers": {
    "model-tools": {
      "command": "npx",
      "args": ["-y", "github:maceip/model-tools-mcp"]
    }
  }
}

Available Tools (10)

ToolDescription
get_email_verification_codeRead <inbox>@outbox.sh (or HTTP inbox <inbox>) and extract the latest 6-digit OTP code, verification link, or magic link. Any inbox name works on demand with zero registration.
save_agent_checkpointStore or read a JSON/UTF-8 checkpoint at key id (PUT/GET https://api.model.tools/api/v1/state/:id) so multi-step runs survive container resets.
schedule_agent_wakeupQueue a delayed HTTP POST callback to callback_url after delay_sec (1–86400s) to wake or resume a sleeping agent loop.
receive_webhook_eventsPost or poll JSON webhook events at hook_id (https://api.model.tools/api/v1/hook/:id) when running inside a NATted or serverless sandbox.
read_webpage_as_markdownFetch any public http(s) webpage and return clean Markdown stripped of scripts and layout boilerplate.
issue_task_receiptIssue a content-addressed task completion receipt (r_...) that downstream callers or peers can verify by URL.
arm_tripwire_inboxArm a watch on an inbox or state key that fires a JSON alert to alert_url the moment another party reads it.
ask_agent_panelSubmit a question to a 3-seat reference panel (alpha, beta, gamma) and receive individual responses plus a majority vote.
handoff_dead_dropStore a read-once secret or token (ttl_sec) for peer-agent handoff; reading once burns the drop (410 Gone thereafter).
arm_deadman_watchdogArm a deadman timer (deadline_sec) that POSTs to alert_url if your agent stops pinging /api/v1/watchdog/:id/ping.

Plain HTTP / curl Examples

Every MCP tool has a 1:1 zero-auth REST endpoint on https://api.model.tools:

# 1. Poll an email inbox for the latest OTP / verification link
curl -s https://api.model.tools/api/v1/inbox/my-agent-run/latest_otp

# 2. Save and read a checkpoint
curl -s -X PUT https://api.model.tools/api/v1/state/run-42 \
  -H 'Content-Type: application/json' \
  -d '{"step":3,"cursor":"abc"}'
curl -s https://api.model.tools/api/v1/state/run-42

# 3. Inspect or post to a webhook bin
curl -s -X POST https://api.model.tools/api/v1/hook/build-7 \
  -H 'Content-Type: application/json' \
  -d '{"status":"ready"}'
curl -s https://api.model.tools/api/v1/hook/build-7

# 4. Schedule a wakeup callback
curl -s -X POST https://api.model.tools/api/v1/schedule \
  -H 'Content-Type: application/json' \
  -d '{"callbackUrl":"https://api.model.tools/api/v1/hook/wake-test","delaySec":30,"payload":{"resume":true}}'

License

MIT

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.