Sponsored by Deepsite.site

UnCorreoTemporal

Created By
francofuji17 days ago
Native MCP email server for AI agents — create temporary inboxes, wait for emails, extract OTPs, and automate email verification flows.
Content

UCT Demo

uncorreotemporal-mcp

MCP Badge

MCP server for UnCorreoTemporal, focused on autonomous signup and email verification workflows.

Glama

Architecture Demo

AI Agent
   |
   | MCP
   v
Temporary Email MCP Server
   |
   v
UnCorreoTemporal API

Remote Connection (No Installation)

Connect directly to the public endpoint — no local install needed:

{
  "mcpServers": {
    "uncorreotemporal-mcp": {
      "url": "https://uncorreotemporal.com/mcp"
    }
  }
}

The public endpoint is free to use for testing. For production workloads, set your own UCT_API_KEY via local install.

Installation

Claude Code

claude mcp add uncorreotemporal -e UCT_API_KEY=uct_your_key_here -- uvx uncorreotemporal-mcp

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "uncorreotemporal": {
      "command": "uvx",
      "args": ["uncorreotemporal-mcp"],
      "env": {
        "UCT_API_KEY": "uct_your_key_here"
      }
    }
  }
}

Get your API key at uncorreotemporal.com.

Quickstart (30 seconds)

uvx uncorreotemporal-mcp

Or run local project version:

UCT_API_KEY=uct_your_key_here \
uv run uncorreotemporal-mcp

Minimal Workflow Example

inbox = await create_signup_inbox("github")
email = await wait_for_verification_email(inbox["inbox_id"])
link = await extract_verification_link(
    inbox_id=inbox["inbox_id"],
    message_id=email["message_id"],
)

Public Tools

  • create_signup_inbox
  • wait_for_verification_email
  • get_latest_email
  • extract_otp_code
  • extract_verification_link
  • complete_signup_flow

New v1 tool: complete_signup_flow

Runs:

  1. create inbox
  2. wait verification email
  3. extract verification link + OTP

Input:

{
  "service_name": "github",
  "timeout_seconds": 90,
  "poll_interval_seconds": 3,
  "subject_contains": "verify",
  "from_contains": "noreply",
  "preferred_domains": ["github.com"],
  "ttl_minutes": 30
}

Output:

{
  "status": "success",
  "inbox_id": "agent42@uncorreotemporal.com",
  "email": "agent42@uncorreotemporal.com",
  "verification_message": {
    "message_id": "msg-1",
    "subject": "Verify your email",
    "from_address": "noreply@example.com",
    "received_at": "2026-03-08T11:30:00Z"
  },
  "verification_link": "https://example.com/confirm?t=abc",
  "otp_code": "483920",
  "link_candidates": ["https://example.com/confirm?t=abc"],
  "otp_candidates": ["483920"]
}

status can be success, partial_success, or timeout.

Tool I/O summary

create_signup_inbox(service_name, ttl_minutes?)

Returns:

{
  "inbox_id": "agent42@uncorreotemporal.com",
  "email": "agent42@uncorreotemporal.com",
  "expires_at": "2026-03-08T12:00:00Z",
  "service_name": "github"
}

wait_for_verification_email(inbox_id, timeout_seconds?, poll_interval_seconds?, subject_contains?, from_contains?)

Returns:

{
  "status": "received",
  "message_id": "msg-1",
  "received_at": "2026-03-08T11:30:00Z",
  "subject": "Verify your account",
  "from_address": "noreply@example.com",
  "timeout_seconds": 90
}

get_latest_email(inbox_id, mark_as_read?)

Returns full message body and metadata.

extract_otp_code(message_text? | inbox_id+message_id, otp_length_min?, otp_length_max?)

Returns:

{
  "otp_code": "483920",
  "candidates": ["483920"]
}

extract_verification_link(message_text? | inbox_id+message_id, preferred_domains?)

Returns:

{
  "verification_link": "https://example.com/confirm?t=abc",
  "candidates": ["https://example.com/confirm?t=abc"]
}

Configuration

Environment variables:

  • UCT_API_KEY (required)
  • UCT_API_BASE (optional, default: https://uncorreotemporal.com)
  • UCT_HTTP_TIMEOUT_SECONDS (optional, default: 20)
  • UCT_MCP_TRANSPORT (optional, stdio by default; also supports streamable-http and sse)
  • UCT_MCP_HOST (optional, default: 0.0.0.0)
  • UCT_MCP_PORT (optional, default: 8000)
  • UCT_MCP_PATH (optional, default: /mcp)

Important: inbox_id == email address.

Examples

See /examples:

  • simple_workflow.py
  • openai_agent_signup.py
  • langchain_agent_signup.py
  • agent_creates_account.py

Run dry-run:

uv run python examples/simple_workflow.py --dry-run

Docker

Build:

docker build -t uncorreotemporal-mcp .

Run stdio mode:

docker run --rm -i \
  -e UCT_API_KEY=uct_your_key_here \
  uncorreotemporal-mcp

Run streamable-http mode:

docker run --rm -p 8000:8000 \
  -e UCT_API_KEY=uct_your_key_here \
  -e UCT_MCP_TRANSPORT=streamable-http \
  -e UCT_MCP_PATH=/mcp \
  uncorreotemporal-mcp

Breaking Changes

Removed legacy low-level tools:

  • create_mailbox
  • list_mailboxes
  • get_messages
  • read_message
  • delete_mailbox

Migration map:

  • create_mailbox -> create_signup_inbox
  • get_messages + read_message -> wait_for_verification_email + get_latest_email
  • multi-step signup orchestration -> complete_signup_flow

Directory listing assets

Prepared listing payloads are in /directory-listings for:

  • modelcontextprotocol/servers
  • mcp.so
  • awesome-mcp

Public endpoint deployment

Deployment templates for https://uncorreotemporal.com/mcp are in /deploy.

Development

uv run pytest
uv run uncorreotemporal-mcp

Server Config

{
  "mcpServers": {
    "uncorreotemporal": {
      "command": "uvx",
      "args": [
        "uncorreotemporal-mcp"
      ],
      "env": {
        "UCT_API_KEY": "uct_your_key_here"
      }
    }
  }
}
Recommend Servers
TraeBuild with Free GPT-4.1 & Claude 3.7. Fully MCP-Ready.
AiimagemultistyleA Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.
Howtocook Mcp基于Anduin2017 / HowToCook (程序员在家做饭指南)的mcp server,帮你推荐菜谱、规划膳食,解决“今天吃什么“的世纪难题; Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"
Jina AI MCP ToolsA Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.
Baidu Map百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
DeepChatYour AI Partner on Desktop
Amap Maps高德地图官方 MCP Server
MiniMax MCPOfficial MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.
CursorThe AI Code Editor
Tavily Mcp
Playwright McpPlaywright MCP server
Serper MCP ServerA Serper MCP Server
WindsurfThe new purpose-built IDE to harness magic
BlenderBlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.
ChatWiseThe second fastest AI chatbot™
RedisA Model Context Protocol server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.
EdgeOne Pages MCPAn MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.
Zhipu Web SearchZhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.
Visual Studio Code - Open Source ("Code - OSS")Visual Studio Code
MCP AdvisorMCP Advisor & Installation - Use the right MCP server for your needs
Y GuiA web-based graphical interface for AI chat interactions with support for multiple AI models and MCP (Model Context Protocol) servers.