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ShortURLMCP

Name: ShortURLMCP
Author: AceDataCloud

by AceDataCloud

Overview Schema Related Servers Score Discussions

Python

Hybrid

ShortURLMCP

PyPI version PyPI downloads Python 3.10+ License: MIT MCP

Сервер Model Context Protocol (MCP) для сокращения URL с использованием Short URL API через AceDataCloud API.

Создавайте короткие ссылки, которыми можно делиться, прямо из Claude, VS Code или любого другого клиента, совместимого с MCP.

Возможности

Сокращение URL - Превращайте длинные URL в короткие ссылки для обмена
Пакетное сокращение - Сокращайте несколько URL одновременно (до 10 за раз)
Бесплатный сервис - Нулевое потребление кредитов за запрос
Постоянные ссылки - Короткие URL никогда не истекают
Домен surl.id - Короткие URL используют чистый домен surl.id
Bearer Auth - Безопасный доступ к API с аутентификацией по токену

Related MCP server: shrtnr MCP Server

Справочник инструментов

Инструмент	Описание
`shorturl_create`	Создать короткий URL из длинного URL.
`shorturl_batch_create`	Создать короткие URL для нескольких длинных URL в одном пакете.
`shorturl_get_usage_guide`	Получить подробное руководство по использованию инструментов ShortURL.
`shorturl_get_api_info`	Получить информацию о сервисе ShortURL API.

Быстрый старт

1. Получите ваш API-токен

Зарегистрируйтесь на платформе AceDataCloud
Перейдите на страницу документации API
Нажмите "Acquire", чтобы получить ваш API-токен
Скопируйте токен для использования ниже

2. Используйте хостинг-сервер (рекомендуется)

AceDataCloud предоставляет управляемый MCP-сервер — локальная установка не требуется.

Эндпоинт: https://shorturl.mcp.acedata.cloud/mcp

Все запросы требуют токен Bearer. Используйте API-токен из шага 1.

Claude.ai

Подключайтесь напрямую на Claude.ai через OAuth — API-токен не требуется:

Перейдите в Claude.ai Settings → Integrations → Add More
Введите URL сервера: https://shorturl.mcp.acedata.cloud/mcp
Завершите процесс входа через OAuth
Начните использовать инструменты в вашем диалоге

Claude Desktop

Добавьте в ваш конфиг (~/Library/Application Support/Claude/claude_desktop_config.json на macOS):

{
  "mcpServers": {
    "shorturl": {
      "type": "streamable-http",
      "url": "https://shorturl.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Cursor / Windsurf

Добавьте в ваш MCP-конфиг (.cursor/mcp.json или .windsurf/mcp.json):

{
  "mcpServers": {
    "shorturl": {
      "type": "streamable-http",
      "url": "https://shorturl.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

VS Code (Copilot)

Добавьте в ваш MCP-конфиг VS Code (.vscode/mcp.json):

{
  "servers": {
    "shorturl": {
      "type": "streamable-http",
      "url": "https://shorturl.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Или установите расширение Ace Data Cloud MCP для VS Code, которое объединяет все 15 MCP-серверов с настройкой в один клик.

JetBrains IDEs

Перейдите в Settings → Tools → AI Assistant → Model Context Protocol (MCP)
Нажмите Add → HTTP
Вставьте:

{
  "mcpServers": {
    "shorturl": {
      "url": "https://shorturl.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Claude Code

Claude Code поддерживает MCP-серверы нативно:

claude mcp add shorturl --transport http https://shorturl.mcp.acedata.cloud/mcp \
  -h "Authorization: Bearer YOUR_API_TOKEN"

Или добавьте в .mcp.json вашего проекта:

{
  "mcpServers": {
    "shorturl": {
      "type": "streamable-http",
      "url": "https://shorturl.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Cline

Добавьте в настройки MCP Cline (.cline/mcp_settings.json):

{
  "mcpServers": {
    "shorturl": {
      "type": "streamable-http",
      "url": "https://shorturl.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Amazon Q Developer

Добавьте в вашу конфигурацию MCP:

{
  "mcpServers": {
    "shorturl": {
      "type": "streamable-http",
      "url": "https://shorturl.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Roo Code

Добавьте в настройки MCP Roo Code:

{
  "mcpServers": {
    "shorturl": {
      "type": "streamable-http",
      "url": "https://shorturl.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Continue.dev

Добавьте в .continue/config.yaml:

mcpServers:
  - name: shorturl
    type: streamable-http
    url: https://shorturl.mcp.acedata.cloud/mcp
    headers:
      Authorization: "Bearer YOUR_API_TOKEN"

Zed

Добавьте в настройки Zed (~/.config/zed/settings.json):

{
  "language_models": {
    "mcp_servers": {
      "shorturl": {
        "url": "https://shorturl.mcp.acedata.cloud/mcp",
        "headers": {
          "Authorization": "Bearer YOUR_API_TOKEN"
        }
      }
    }
  }
}

Тест cURL

# Health check (no auth required)
curl https://shorturl.mcp.acedata.cloud/health

# MCP initialize
curl -X POST https://shorturl.mcp.acedata.cloud/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-03-26","capabilities":{},"clientInfo":{"name":"test","version":"1.0"}}}'

3. Или запустите локально (альтернатива)

Если вы предпочитаете запускать сервер на своей машине:

# Install from PyPI
pip install mcp-shorturl
# or
uvx mcp-shorturl

# Set your API token
export ACEDATACLOUD_API_TOKEN="your_token_here"

# Run (stdio mode for Claude Desktop / local clients)
mcp-shorturl

# Run (HTTP mode for remote access)
mcp-shorturl --transport http --port 8000

Claude Desktop (локально)

{
  "mcpServers": {
    "shorturl": {
      "command": "uvx",
      "args": ["mcp-shorturl"],
      "env": {
        "ACEDATACLOUD_API_TOKEN": "your_token_here"
      }
    }
  }
}

Docker (самохостинг)

docker pull ghcr.io/acedatacloud/mcp-shorturl:latest
docker run -p 8000:8000 ghcr.io/acedatacloud/mcp-shorturl:latest

Клиенты подключаются со своим собственным токеном Bearer — сервер извлекает токен из заголовка Authorization каждого запроса.

Доступные инструменты

Инструменты сокращения URL

Инструмент	Описание
`shorturl_create`	Сократить один URL
`shorturl_batch_create`	Сократить несколько URL одновременно (макс. 10)

Информационные инструменты

Инструмент	Описание
`shorturl_get_usage_guide`	Получить подробное руководство по использованию
`shorturl_get_api_info`	Получить детали API и коды ошибок

Примеры использования

Сокращение одного URL

User: Shorten this URL: https://platform.acedata.cloud/documents/a2303356-6672-4eb8-9778-75f55c998fe9

Claude: I'll shorten that URL for you.
[Calls shorturl_create with url="https://platform.acedata.cloud/documents/a2303356-6672-4eb8-9778-75f55c998fe9"]

Result: https://surl.id/1uHCs01xa5

Пакетное сокращение нескольких URL

User: Shorten these URLs for my social media posts:
- https://example.com/blog/very-long-article-title-about-ai
- https://example.com/products/new-release-2024

Claude: I'll shorten both URLs at once.
[Calls shorturl_batch_create with urls=[...]]

Создание ссылок для документации

User: I need clean short links for these reference URLs in my doc.

Claude: I'll create short links for all your references.
[Calls shorturl_batch_create with the list of URLs]

Структура ответа

Успешный ответ

{
  "success": true,
  "data": {
    "url": "https://surl.id/1uHCs01xa5"
  }
}

Ответ с ошибкой

{
  "success": false,
  "error": {
    "code": "api_error",
    "message": "fetch failed"
  },
  "trace_id": "2cf86e86-22a4-46e1-ac2f-032c0f2a4e89"
}

Конфигурация

Переменные окружения

Переменная	Описание	По умолчанию
`ACEDATACLOUD_API_TOKEN`	API-токен от AceDataCloud	Обязательно
`ACEDATACLOUD_API_BASE_URL`	Базовый URL API	`https://api.acedata.cloud`
`ACEDATACLOUD_OAUTH_CLIENT_ID`	OAuth client ID (режим хостинга)	—
`ACEDATACLOUD_PLATFORM_BASE_URL`	Базовый URL платформы	`https://platform.acedata.cloud`
`SHORTURL_REQUEST_TIMEOUT`	Тайм-аут запроса в секундах	`30`
`LOG_LEVEL`	Уровень логирования	`INFO`

Параметры командной строки

mcp-shorturl --help

Options:
  --version          Show version
  --transport        Transport mode: stdio (default) or http
  --port             Port for HTTP transport (default: 8000)

Разработка

Настройка среды разработки

# Clone repository
git clone https://github.com/AceDataCloud/ShortURLMCP.git
cd ShortURLMCP

# Create virtual environment
python -m venv .venv
source .venv/bin/activate  # or `.venv\Scripts\activate` on Windows

# Install with dev dependencies
pip install -e ".[dev,test]"

Запуск тестов

# Run unit tests
pytest

# Run with coverage
pytest --cov=core --cov=tools

# Run integration tests (requires API token)
pytest tests/test_integration.py -m integration

Качество кода

# Format code
ruff format .

# Lint code
ruff check .

# Type check
mypy core tools

Сборка и публикация

# Install build dependencies
pip install -e ".[release]"

# Build package
python -m build

# Upload to PyPI
twine upload dist/*

Структура проекта

ShortURLMCP/
├── core/                   # Core modules
│   ├── __init__.py
│   ├── client.py          # HTTP client for ShortURL API
│   ├── config.py          # Configuration management
│   ├── exceptions.py      # Custom exceptions
│   └── server.py          # MCP server initialization
├── tools/                  # MCP tool definitions
│   ├── __init__.py
│   ├── shorturl_tools.py  # URL shortening tools
│   └── info_tools.py      # Information tools
├── prompts/                # MCP prompt templates
│   └── __init__.py
├── tests/                  # Test suite
│   ├── conftest.py
│   ├── test_client.py
│   ├── test_config.py
│   └── test_integration.py
├── deploy/                 # Deployment configs
│   ├── run.sh
│   └── production/
│       ├── deployment.yaml
│       ├── ingress.yaml
│       └── service.yaml
├── .env.example           # Environment template
├── .gitignore
├── .ruff.toml             # Ruff linter configuration
├── CHANGELOG.md
├── Dockerfile             # Docker image for HTTP mode
├── docker-compose.yaml    # Docker Compose config
├── LICENSE
├── main.py                # Entry point
├── pyproject.toml         # Project configuration
└── README.md

Справочник API

Этот сервер является оберткой для AceDataCloud Short URL API:

Эндпоинт: POST /shorturl
Входные данные: { "content": "https://long-url.example.com/..." }
Выходные данные: { "success": true, "data": { "url": "https://surl.id/..." } }
Стоимость: Бесплатно (0 кредитов)
Аутентификация: Bearer token

Полная документация API: AceDataCloud Platform

Лицензия

MIT License - подробности см. в LICENSE.

Available Tools

4 tools

shorturl_batch_createAInspect

Create short URLs for multiple long URLs in a single batch.

Shortens multiple URLs at once, returning a mapping of original URLs
to their shortened versions. Useful for bulk URL shortening tasks.

Args:
    urls: A list of long URLs to shorten (max 10 per batch).

Returns:
    JSON response containing the mapping of original to shortened URLs.

Example:
    shorturl_batch_create(urls=["https://example.com/long-url-1", "https://example.com/long-url-2"])

ParametersJSON Schema

Name	Required	Description	Default
`urls`	Yes	A list of long URLs to shorten. Each must be a valid HTTP or HTTPS URL. Maximum 10 URLs per batch.

Output Schema

ParametersJSON Schema

Name	Required	Description
`result`	Yes

TDQS

A4.3/5.0

Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Without annotations, the description provides key behavioral details: it returns a mapping of original to shortened URLs, handles multiple URLs, and enforces a maximum of 10 per batch. It does not mention error handling or idempotency, but covers the core behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise at about 6 sentences, well-structured with a title, explanation, args, returns, and an example. No wasted words, and all sentences are informative.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the presence of an output schema and only one parameter, the description fully covers the tool's purpose, usage constraints, and provides an example. It is complete for its complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3. The description repeats the constraint of 'max 10 per batch' which is already in the schema description, thus adds no new meaning beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool creates short URLs for multiple long URLs in a single batch, which distinguishes it from the sibling tool shorturl_create that likely handles a single URL. The verb 'Create' and resource 'short URLs' are specific.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description mentions 'useful for bulk URL shortening tasks,' which implies when to use this tool over alternatives. However, it does not explicitly state when not to use it or name alternatives like shorturl_create for single URLs.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

shorturl_createAInspect

Create a short URL from a long URL.

Converts a long URL into a short, easy-to-share URL using the ShortURL API.
The short URL redirects to the original long URL when visited.

This is useful for:
- Sharing links on social media with character limits
- Creating clean, memorable links for marketing
- Tracking link clicks and engagement
- Making long URLs more manageable in documents and messages

Args:
    url: The long URL to shorten. Must be a valid HTTP or HTTPS URL.

Returns:
    JSON response containing the shortened URL.

Example:
    shorturl_create(url="https://platform.acedata.cloud/documents/a2303356-6672-4eb8-9778-75f55c998fe9")

ParametersJSON Schema

Name	Required	Description	Default
`url`	Yes	The long URL to shorten. Must be a valid HTTP or HTTPS URL. Required.

Output Schema

ParametersJSON Schema

Name	Required	Description
`result`	Yes

TDQS

A3.6/5.0

Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided; description only mentions conversion and redirection. Lacks details on rate limits, authentication, costs, or side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Well-structured with bullet points and example. Front-loaded with main action. Some redundancy but overall efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Simple tool with output schema but description vague on return structure. Lacks error handling or validation details.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema covers 100% with clear parameter description. Description adds examples but no additional meaning beyond schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states 'Create a short URL from a long URL' with specific verb and resource. Distinguishes from siblings like batch_create, get_api_info, get_usage_guide.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Lists use cases (social media, marketing, tracking, documents) but does not explicitly state when not to use or compare to batch_create.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

shorturl_get_api_infoAInspect

Get information about the ShortURL API service.

Returns details about the API endpoint, pricing, and service capabilities.

Returns:
    API information and service details.

ParametersJSON Schema

Name	Required	Description	Default
No parameters

Output Schema

ParametersJSON Schema

Name	Required	Description
`result`	Yes

TDQS

A3.8/5.0

Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It mentions it returns API information and service details but does not disclose side effects, authentication needs, or rate limits. For a simple info tool, it is minimally adequate.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences plus a returns line. It is concise but slightly redundant repeating 'Returns:' line. Not verbose, but could be more streamlined.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no parameters and an output schema present, the description gives adequate info about returns. However, it lacks context on authentication or how it differs from shorturl_get_usage_guide, making it just adequate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There are no parameters, and schema coverage is 100%. The description adds value by explaining what information is returned (API endpoint, pricing, capabilities), which goes beyond the empty schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it gets information about the ShortURL API service, including endpoint, pricing, and capabilities. It distinguishes from siblings: shorturl_batch_create and shorturl_create are for creating URLs, shorturl_get_usage_guide is about usage guide, not API info.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description does not explicitly state when to use this tool versus alternatives like shorturl_get_usage_guide. Usage is implied but no exclusion or guidance is provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

shorturl_get_usage_guideAInspect

Get a comprehensive guide for using the ShortURL tools.

Provides detailed information on how to use the ShortURL tools
effectively, including parameters, examples, and best practices.

Returns:
    Complete usage guide for ShortURL tools.

ParametersJSON Schema

Name	Required	Description	Default
No parameters

Output Schema

ParametersJSON Schema

Name	Required	Description
`result`	Yes

TDQS

A3.7/5.0

Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It states the tool returns a guide but does not disclose read-only behavior, side effects, authentication requirements, or rate limits. The description is minimal on behavioral traits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and to the point, with two brief paragraphs and a Returns line. There is minor repetition of 'ShortURL tools', but overall it is efficient and front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the simple nature of the tool (a guide retriever) and the presence of an output schema (though not visible), the description covers the main purpose and return value. It could mention the format of the guide, but it is sufficiently complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has no parameters, so the description does not need to add parameter-level meaning. Schema coverage is 100% (0 params), and the baseline for no parameters is 4.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states that the tool retrieves a comprehensive guide for using ShortURL tools. It uses a specific verb ('Get') and resource ('usage guide'), and this purpose is distinct from sibling tools like shorturl_create or shorturl_get_api_info.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage when one needs to learn how to use ShortURL tools effectively, but it does not provide explicit guidance on when to use this tool versus alternatives (e.g., shorturl_get_api_info) or when not to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

4 tool updatesv0.1.29May 31, 2026
- Addedshorturl_batch_create
- Addedshorturl_create
- Addedshorturl_get_api_info
- Addedshorturl_get_usage_guide
4 tool updatesv0.1.28May 24, 2026
- Removedshorturl_batch_create
- Removedshorturl_create
- Removedshorturl_get_api_info
- Removedshorturl_get_usage_guide

Install Server

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TDQS

A4.1/5.0

Disambiguation5/5

Each tool has a clear, distinct purpose: single create, batch create, API info, and usage guide. No overlap in functionality.

Naming Consistency5/5

All tool names follow a consistent 'shorturl_' prefix with verb_noun pattern (e.g., batch_create, get_api_info). Perfectly uniform.

Tool Count5/5

With 4 tools, the server is well-scoped for a URL shortening service. It covers the core operations (create, batch create) and supporting info tools.

Completeness4/5

Covers all essential creation and information needs. Minor gap: no delete or update functionality, but agents can manage by creating new short URLs.

Maintenance

ActivityMaintained

ResponsivenessUnresponsive

Resources

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PicSee Short Link A
io.picsee
Official PicSee MCP server for short links, link management, click analytics, and optional OAuth.
Marketing Social Media
12
linkly A
com.linklyhq
Create and manage short links, track clicks, and automate URL management
Marketing Developer Tools
2521

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ShortURLMCP

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