ShortURLMCP
ShortURLMCP
Ein Model Context Protocol (MCP)-Server zum Kürzen von URLs unter Verwendung der Short URL API über die AceDataCloud API.
Erstellen Sie kurze, teilbare URLs direkt aus Claude, VS Code oder einem beliebigen MCP-kompatiblen Client.
Funktionen
URL-Kürzung - Wandeln Sie lange URLs in kurze, teilbare Links um
Stapelverarbeitung - Kürzen Sie mehrere URLs gleichzeitig (bis zu 10 pro Stapel)
Kostenloser Dienst - Kein Guthabenverbrauch pro Anfrage
Dauerhafte Links - Kurze URLs laufen nie ab
surl.id Domain - Kurze URLs verwenden die saubere
surl.id-DomainBearer Auth - Sicherer API-Zugriff mit Token-Authentifizierung
Related MCP server: shrtnr MCP Server
Tool-Referenz
Tool | Beschreibung |
| Erstellt eine kurze URL aus einer langen URL. |
| Erstellt kurze URLs für mehrere lange URLs in einem einzigen Stapel. |
| Ruft einen umfassenden Leitfaden zur Verwendung der ShortURL-Tools ab. |
| Ruft Informationen über den ShortURL-API-Dienst ab. |
Schnellstart
1. API-Token abrufen
Registrieren Sie sich auf der AceDataCloud-Plattform
Gehen Sie zur API-Dokumentationsseite
Klicken Sie auf "Acquire", um Ihr API-Token zu erhalten
Kopieren Sie das Token für die unten stehende Verwendung
2. Den gehosteten Server verwenden (Empfohlen)
AceDataCloud hostet einen verwalteten MCP-Server — keine lokale Installation erforderlich.
Endpunkt: https://shorturl.mcp.acedata.cloud/mcp
Alle Anfragen erfordern ein Bearer-Token. Verwenden Sie das API-Token aus Schritt 1.
Claude.ai
Verbinden Sie sich direkt auf Claude.ai mit OAuth — kein API-Token erforderlich:
Gehen Sie zu Claude.ai Einstellungen → Integrationen → Mehr hinzufügen
Geben Sie die Server-URL ein:
https://shorturl.mcp.acedata.cloud/mcpSchließen Sie den OAuth-Anmeldevorgang ab
Beginnen Sie mit der Verwendung der Tools in Ihrer Konversation
Claude Desktop
Fügen Sie dies Ihrer Konfiguration hinzu (~/Library/Application Support/Claude/claude_desktop_config.json unter macOS):
{
"mcpServers": {
"shorturl": {
"type": "streamable-http",
"url": "https://shorturl.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}Cursor / Windsurf
Fügen Sie dies Ihrer MCP-Konfiguration hinzu (.cursor/mcp.json oder .windsurf/mcp.json):
{
"mcpServers": {
"shorturl": {
"type": "streamable-http",
"url": "https://shorturl.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}VS Code (Copilot)
Fügen Sie dies Ihrer VS Code MCP-Konfiguration hinzu (.vscode/mcp.json):
{
"servers": {
"shorturl": {
"type": "streamable-http",
"url": "https://shorturl.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}Oder installieren Sie die Ace Data Cloud MCP-Erweiterung für VS Code, die alle 15 MCP-Server mit einer Ein-Klick-Einrichtung bündelt.
JetBrains IDEs
Gehen Sie zu Einstellungen → Tools → AI Assistant → Model Context Protocol (MCP)
Klicken Sie auf Hinzufügen → HTTP
Einfügen:
{
"mcpServers": {
"shorturl": {
"url": "https://shorturl.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}Claude Code
Claude Code unterstützt MCP-Server nativ:
claude mcp add shorturl --transport http https://shorturl.mcp.acedata.cloud/mcp \
-h "Authorization: Bearer YOUR_API_TOKEN"Oder fügen Sie es der .mcp.json Ihres Projekts hinzu:
{
"mcpServers": {
"shorturl": {
"type": "streamable-http",
"url": "https://shorturl.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}Cline
Fügen Sie dies den MCP-Einstellungen von Cline hinzu (.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
Fügen Sie dies Ihrer MCP-Konfiguration hinzu:
{
"mcpServers": {
"shorturl": {
"type": "streamable-http",
"url": "https://shorturl.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}Roo Code
Fügen Sie dies den Roo Code MCP-Einstellungen hinzu:
{
"mcpServers": {
"shorturl": {
"type": "streamable-http",
"url": "https://shorturl.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}Continue.dev
Fügen Sie dies der .continue/config.yaml hinzu:
mcpServers:
- name: shorturl
type: streamable-http
url: https://shorturl.mcp.acedata.cloud/mcp
headers:
Authorization: "Bearer YOUR_API_TOKEN"Zed
Fügen Sie dies den Einstellungen von Zed hinzu (~/.config/zed/settings.json):
{
"language_models": {
"mcp_servers": {
"shorturl": {
"url": "https://shorturl.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}
}cURL-Test
# 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. Oder lokal ausführen (Alternative)
Wenn Sie den Server lieber auf Ihrem eigenen Rechner ausführen möchten:
# 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 (Lokal)
{
"mcpServers": {
"shorturl": {
"command": "uvx",
"args": ["mcp-shorturl"],
"env": {
"ACEDATACLOUD_API_TOKEN": "your_token_here"
}
}
}
}Docker (Self-Hosting)
docker pull ghcr.io/acedatacloud/mcp-shorturl:latest
docker run -p 8000:8000 ghcr.io/acedatacloud/mcp-shorturl:latestClients verbinden sich mit ihrem eigenen Bearer-Token — der Server extrahiert das Token aus dem Authorization-Header jeder Anfrage.
Verfügbare Tools
URL-Kürzungstools
Tool | Beschreibung |
| Eine einzelne URL kürzen |
| Mehrere URLs gleichzeitig kürzen (max. 10) |
Informationstools
Tool | Beschreibung |
| Umfassenden Nutzungsleitfaden abrufen |
| API-Details und Fehlercodes abrufen |
Anwendungsbeispiele
Eine einzelne URL kürzen
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/1uHCs01xa5Mehrere URLs stapelweise kürzen
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=[...]]Links für Dokumentationen erstellen
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]Antwortstruktur
Erfolgreiche Antwort
{
"success": true,
"data": {
"url": "https://surl.id/1uHCs01xa5"
}
}Fehlerantwort
{
"success": false,
"error": {
"code": "api_error",
"message": "fetch failed"
},
"trace_id": "2cf86e86-22a4-46e1-ac2f-032c0f2a4e89"
}Konfiguration
Umgebungsvariablen
Variable | Beschreibung | Standardwert |
| API-Token von AceDataCloud | Erforderlich |
| API-Basis-URL |
|
| OAuth-Client-ID (gehosteter Modus) | — |
| Plattform-Basis-URL |
|
| Anfrage-Timeout in Sekunden |
|
| Protokollierungsebene |
|
Befehlszeilenoptionen
mcp-shorturl --help
Options:
--version Show version
--transport Transport mode: stdio (default) or http
--port Port for HTTP transport (default: 8000)Entwicklung
Entwicklungsumgebung einrichten
# 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]"Tests ausführen
# Run unit tests
pytest
# Run with coverage
pytest --cov=core --cov=tools
# Run integration tests (requires API token)
pytest tests/test_integration.py -m integrationCodequalität
# Format code
ruff format .
# Lint code
ruff check .
# Type check
mypy core toolsErstellen & Veröffentlichen
# Install build dependencies
pip install -e ".[release]"
# Build package
python -m build
# Upload to PyPI
twine upload dist/*Projektstruktur
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.mdAPI-Referenz
Dieser Server umschließt die AceDataCloud Short URL API:
Endpunkt:
POST /shorturlEingabe:
{ "content": "https://long-url.example.com/..." }Ausgabe:
{ "success": true, "data": { "url": "https://surl.id/..." } }Preise: Kostenlos (0 Credits)
Authentifizierung: Bearer-Token
Vollständige API-Dokumentation: AceDataCloud-Plattform
Lizenz
MIT-Lizenz - siehe LICENSE für Details.
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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