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ShortURLMCP

Name: ShortURLMCP
Author: AceDataCloud

by AceDataCloud

Overview Schema Source Related Servers Discussions Admin

Python

Hybrid

ShortURLMCP

PyPI version PyPI downloads Python 3.10+ License: MIT MCP

AceDataCloud API を通じて Short URL API を利用するための Model Context Protocol (MCP) サーバーです。

Claude、VS Code、またはその他のMCP対応クライアントから直接、短縮された共有可能なURLを作成できます。

機能

URL短縮 - 長いURLを短く共有可能なリンクに変換
バッチ短縮 - 複数のURLを一度に短縮（1バッチあたり最大10個）
無料サービス - リクエストごとのクレジット消費はゼロ
永続リンク - 短縮URLは期限切れになりません
surl.idドメイン - 短縮URLにはクリーンな surl.id ドメインを使用
Bearer認証 - トークン認証による安全なAPIアクセス

Related MCP server: shrtnr MCP Server

ツールリファレンス

ツール	説明
`shorturl_create`	長いURLから短縮URLを作成します。
`shorturl_batch_create`	複数の長いURLから一度に短縮URLを作成します。
`shorturl_get_usage_guide`	ShortURLツールの包括的な使用ガイドを取得します。
`shorturl_get_api_info`	ShortURL APIサービスに関する情報を取得します。

クイックスタート

1. APIトークンの取得

AceDataCloud Platform にサインアップ
APIドキュメントページに移動
「Acquire」 をクリックしてAPIトークンを取得
トークンをコピーして以下で使用

2. ホスト型サーバーの使用（推奨）

AceDataCloudは管理されたMCPサーバーをホストしており、ローカルインストールは不要です。

エンドポイント: https://shorturl.mcp.acedata.cloud/mcp

すべてのリクエストにはBearerトークンが必要です。ステップ1で取得したAPIトークンを使用してください。

Claude.ai

Claude.ai でOAuthを使用して直接接続します（APIトークンは不要です）：

Claude.aiの 設定 → 統合 → 追加 に移動
サーバーURLを入力: https://shorturl.mcp.acedata.cloud/mcp
OAuthログインフローを完了
会話内でツールの使用を開始

Claude Desktop

設定ファイル（macOSの場合は ~/Library/Application Support/Claude/claude_desktop_config.json）に追加します：

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

Cursor / Windsurf

MCP設定（.cursor/mcp.json または .windsurf/mcp.json）に追加します：

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

VS Code (Copilot)

VS CodeのMCP設定（.vscode/mcp.json）に追加します：

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

または、VS Code用の Ace Data Cloud MCP拡張機能をインストールしてください。これには15個のMCPサーバーすべてが含まれており、ワンクリックでセットアップできます。

JetBrains IDEs

設定 → ツール → AI Assistant → Model Context Protocol (MCP) に移動
追加 → HTTP をクリック
以下を貼り付け：

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

Claude Code

Claude CodeはMCPサーバーをネイティブでサポートしています：

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

または、プロジェクトの .mcp.json に追加します：

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

Cline

ClineのMCP設定（.cline/mcp_settings.json）に追加します：

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

Amazon Q Developer

MCP設定に追加します：

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

Roo Code

Roo CodeのMCP設定に追加します：

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

Continue.dev

.continue/config.yaml に追加します：

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

Zed

Zedの設定（~/.config/zed/settings.json）に追加します：

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

cURLテスト

# 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. ローカルでの実行（代替手段）

自分のマシンでサーバーを実行したい場合：

# 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 (ローカル)

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

Docker (セルフホスト)

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

クライアントは独自のBearerトークンで接続します。サーバーは各リクエストの Authorization ヘッダーからトークンを抽出します。

利用可能なツール

URL短縮ツール

ツール	説明
`shorturl_create`	単一のURLを短縮
`shorturl_batch_create`	複数のURLを一度に短縮（最大10個）

情報ツール

ツール	説明
`shorturl_get_usage_guide`	包括的な使用ガイドを取得
`shorturl_get_api_info`	APIの詳細とエラーコードを取得

使用例

単一URLの短縮

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

複数URLのバッチ短縮

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=[...]]

ドキュメント用リンクの作成

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]

レスポンス構造

成功時のレスポンス

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

エラー時のレスポンス

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

設定

環境変数

変数	説明	デフォルト
`ACEDATACLOUD_API_TOKEN`	AceDataCloudのAPIトークン	必須
`ACEDATACLOUD_API_BASE_URL`	APIベースURL	`https://api.acedata.cloud`
`ACEDATACLOUD_OAUTH_CLIENT_ID`	OAuthクライアントID（ホストモード）	—
`ACEDATACLOUD_PLATFORM_BASE_URL`	プラットフォームベースURL	`https://platform.acedata.cloud`
`SHORTURL_REQUEST_TIMEOUT`	リクエストタイムアウト（秒）	`30`
`LOG_LEVEL`	ログレベル	`INFO`

コマンドラインオプション

mcp-shorturl --help

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

開発

開発環境のセットアップ

# 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]"

テストの実行

# 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

コード品質

# Format code
ruff format .

# Lint code
ruff check .

# Type check
mypy core tools

ビルドと公開

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

# Build package
python -m build

# Upload to PyPI
twine upload dist/*

プロジェクト構造

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

APIリファレンス

このサーバーは AceDataCloud Short URL API をラップしています：

エンドポイント: POST /shorturl
入力: { "content": "https://long-url.example.com/..." }
出力: { "success": true, "data": { "url": "https://surl.id/..." } }
料金: 無料（0クレジット）
認証: Bearerトークン

完全なAPIドキュメント: AceDataCloud Platform

ライセンス

MITライセンス - 詳細は LICENSE を参照してください。

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.

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

Deploy Server

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A4.1/5.0

Scored 2026-05-31 21:30 across 4 tools

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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B
quality
D
maintenance
Provides a simple tool to shorten URLs using the CleanURI API, designed to run as a FastMCP server that can be integrated with agent or tool-based systems.
Updated a year ago (2025-07-06 19:06 UTC)
1
4
Apache 2.0
shrtnr MCP Server
Developer Tools
oddbit
A
license
Not graded
quality
A
maintenance
Enables AI assistants to create and manage short URLs via the MCP protocol, with OAuth authentication through Cloudflare Access.
Updated a day ago (2026-09-23 09:23 UTC)
28
Apache 2.0
lnkifyofficial
Developer Tools App Automation
lnkify
A
license
Not graded
quality
D
maintenance
MCP server that enables AI agents to manage Lnkify links, domains, API keys, and analytics. Allows creation and resolution of short links through natural language.
Updated 3 months ago (2026-06-29 15:56 UTC)
MIT
INBIO MCP Serverofficial
Marketing
getinbio
A
license
Not graded
quality
C
maintenance
Official MCP server for INBIO's URL shortener with click analytics and customizable QR codes. Enables link shortening, QR code generation, and link management with optional authentication for advanced features.
Updated 2 months ago (2026-07-23 16:20 UTC)
MIT

ShortURLMCP

機能

ツールリファレンス

クイックスタート

1. APIトークンの取得

2. ホスト型サーバーの使用（推奨）

Claude.ai

Claude Desktop

Cursor / Windsurf

VS Code (Copilot)

JetBrains IDEs

Claude Code

Cline

Amazon Q Developer

Roo Code

Continue.dev

Zed

cURLテスト

3. ローカルでの実行（代替手段）

Claude Desktop (ローカル)

Docker (セルフホスト)

利用可能なツール

URL短縮ツール

情報ツール

使用例

単一URLの短縮

複数URLのバッチ短縮

ドキュメント用リンクの作成

レスポンス構造

成功時のレスポンス

エラー時のレスポンス

設定

環境変数

コマンドラインオプション

開発

開発環境のセットアップ

テストの実行

コード品質

ビルドと公開

プロジェクト構造

APIリファレンス

ライセンス

Available Tools

Output Schema

TDQS

Output Schema

TDQS

Output Schema

TDQS

Output Schema

TDQS

Tool Schema Changelog

TDQS

Maintenance

Resources

Related MCP Connectors

Related MCP Servers

URL Shortener MCP

shrtnr MCP Server

lnkifyofficial

INBIO MCP Serverofficial