ShortURLMCP
ShortURLMCP
Un servidor del Protocolo de Contexto de Modelo (MCP) para acortar URLs utilizando la API de URL Corta a través de la API de AceDataCloud.
Cree URLs cortas y compartibles directamente desde Claude, VS Code o cualquier cliente compatible con MCP.
Características
Acortamiento de URL - Convierta URLs largas en enlaces cortos y compartibles
Acortamiento por lotes - Acorte múltiples URLs a la vez (hasta 10 por lote)
Servicio gratuito - Consumo de cero créditos por solicitud
Enlaces permanentes - Las URLs cortas nunca caducan
Dominio surl.id - Las URLs cortas utilizan el dominio limpio
surl.idAutenticación Bearer - Acceso seguro a la API con autenticación por token
Related MCP server: shrtnr MCP Server
Referencia de herramientas
Herramienta | Descripción |
| Crea una URL corta a partir de una URL larga. |
| Crea URLs cortas para múltiples URLs largas en un solo lote. |
| Obtiene una guía completa para usar las herramientas de ShortURL. |
| Obtiene información sobre el servicio de la API de ShortURL. |
Inicio rápido
1. Obtenga su token de API
Regístrese en la Plataforma AceDataCloud
Vaya a la página de documentación de la API
Haga clic en "Acquire" para obtener su token de API
Copie el token para usarlo a continuación
2. Utilice el servidor alojado (Recomendado)
AceDataCloud aloja un servidor MCP gestionado — no requiere instalación local.
Endpoint: https://shorturl.mcp.acedata.cloud/mcp
Todas las solicitudes requieren un token Bearer. Utilice el token de API del Paso 1.
Claude.ai
Conéctese directamente en Claude.ai con OAuth — no se necesita token de API:
Vaya a Settings → Integrations → Add More en Claude.ai
Introduzca la URL del servidor:
https://shorturl.mcp.acedata.cloud/mcpComplete el flujo de inicio de sesión OAuth
Empiece a usar las herramientas en su conversación
Claude Desktop
Añada a su configuración (~/Library/Application Support/Claude/claude_desktop_config.json en macOS):
{
"mcpServers": {
"shorturl": {
"type": "streamable-http",
"url": "https://shorturl.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}Cursor / Windsurf
Añada a su configuración de MCP (.cursor/mcp.json o .windsurf/mcp.json):
{
"mcpServers": {
"shorturl": {
"type": "streamable-http",
"url": "https://shorturl.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}VS Code (Copilot)
Añada a su configuración de MCP de VS Code (.vscode/mcp.json):
{
"servers": {
"shorturl": {
"type": "streamable-http",
"url": "https://shorturl.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}O instale la extensión Ace Data Cloud MCP para VS Code, que agrupa los 15 servidores MCP con una configuración de un solo clic.
IDEs de JetBrains
Vaya a Settings → Tools → AI Assistant → Model Context Protocol (MCP)
Haga clic en Add → HTTP
Pegue:
{
"mcpServers": {
"shorturl": {
"url": "https://shorturl.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}Claude Code
Claude Code admite servidores MCP de forma nativa:
claude mcp add shorturl --transport http https://shorturl.mcp.acedata.cloud/mcp \
-h "Authorization: Bearer YOUR_API_TOKEN"O añada al archivo .mcp.json de su proyecto:
{
"mcpServers": {
"shorturl": {
"type": "streamable-http",
"url": "https://shorturl.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}Cline
Añada a la configuración de MCP de 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
Añada a su configuración de MCP:
{
"mcpServers": {
"shorturl": {
"type": "streamable-http",
"url": "https://shorturl.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}Roo Code
Añada a la configuración de MCP de Roo Code:
{
"mcpServers": {
"shorturl": {
"type": "streamable-http",
"url": "https://shorturl.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}Continue.dev
Añada a .continue/config.yaml:
mcpServers:
- name: shorturl
type: streamable-http
url: https://shorturl.mcp.acedata.cloud/mcp
headers:
Authorization: "Bearer YOUR_API_TOKEN"Zed
Añada a la configuración de Zed (~/.config/zed/settings.json):
{
"language_models": {
"mcp_servers": {
"shorturl": {
"url": "https://shorturl.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}
}Prueba con 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. O ejecute localmente (Alternativa)
Si prefiere ejecutar el servidor en su propia máquina:
# 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 8000Claude Desktop (Local)
{
"mcpServers": {
"shorturl": {
"command": "uvx",
"args": ["mcp-shorturl"],
"env": {
"ACEDATACLOUD_API_TOKEN": "your_token_here"
}
}
}
}Docker (Autoalojamiento)
docker pull ghcr.io/acedatacloud/mcp-shorturl:latest
docker run -p 8000:8000 ghcr.io/acedatacloud/mcp-shorturl:latestLos clientes se conectan con su propio token Bearer — el servidor extrae el token del encabezado Authorization de cada solicitud.
Herramientas disponibles
Herramientas de acortamiento de URL
Herramienta | Descripción |
| Acortar una sola URL |
| Acortar múltiples URLs a la vez (máx. 10) |
Herramientas de información
Herramienta | Descripción |
| Obtener guía de uso completa |
| Obtener detalles de la API y códigos de error |
Ejemplos de uso
Acortar una sola 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/1uHCs01xa5Acortar múltiples URLs por lotes
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=[...]]Crear enlaces para documentación
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]Estructura de respuesta
Respuesta exitosa
{
"success": true,
"data": {
"url": "https://surl.id/1uHCs01xa5"
}
}Respuesta de error
{
"success": false,
"error": {
"code": "api_error",
"message": "fetch failed"
},
"trace_id": "2cf86e86-22a4-46e1-ac2f-032c0f2a4e89"
}Configuración
Variables de entorno
Variable | Descripción | Predeterminado |
| Token de API de AceDataCloud | Requerido |
| URL base de la API |
|
| ID de cliente OAuth (modo alojado) | — |
| URL base de la plataforma |
|
| Tiempo de espera de solicitud en segundos |
|
| Nivel de registro |
|
Opciones de línea de comandos
mcp-shorturl --help
Options:
--version Show version
--transport Transport mode: stdio (default) or http
--port Port for HTTP transport (default: 8000)Desarrollo
Configurar entorno de desarrollo
# 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]"Ejecutar pruebas
# Run unit tests
pytest
# Run with coverage
pytest --cov=core --cov=tools
# Run integration tests (requires API token)
pytest tests/test_integration.py -m integrationCalidad del código
# Format code
ruff format .
# Lint code
ruff check .
# Type check
mypy core toolsConstruir y publicar
# Install build dependencies
pip install -e ".[release]"
# Build package
python -m build
# Upload to PyPI
twine upload dist/*Estructura del proyecto
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.mdReferencia de la API
Este servidor envuelve la API de URL Corta de AceDataCloud:
Endpoint:
POST /shorturlEntrada:
{ "content": "https://long-url.example.com/..." }Salida:
{ "success": true, "data": { "url": "https://surl.id/..." } }Precios: Gratis (0 créditos)
Autenticación: Token Bearer
Documentación completa de la API: Plataforma AceDataCloud
Licencia
Licencia MIT - consulte LICENSE para más detalles.
Available Tools
4 toolsshorturl_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"])
| 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
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
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.
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.
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.
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.
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.
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")
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | The long URL to shorten. Must be a valid HTTP or HTTPS URL. Required. |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
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.
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.
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.
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.
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.
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.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
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.
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.
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.
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.
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.
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.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
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.
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.
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.
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.
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.
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.
4 tool updates
v0.1.29- Added
shorturl_batch_create - Added
shorturl_create - Added
shorturl_get_api_info - Added
shorturl_get_usage_guide
4 tool updates
v0.1.28- Removed
shorturl_batch_create - Removed
shorturl_create - Removed
shorturl_get_api_info - Removed
shorturl_get_usage_guide
TDQS
Scored across 4 tools
Each tool has a clear, distinct purpose: single create, batch create, API info, and usage guide. No overlap in functionality.
All tool names follow a consistent 'shorturl_' prefix with verb_noun pattern (e.g., batch_create, get_api_info). Perfectly uniform.
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.
Covers all essential creation and information needs. Minor gap: no delete or update functionality, but agents can manage by creating new short URLs.
Maintenance
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