open-index/open-npm huggingface dataset:
npm package: @iflow-mcp/jwaldor-mcp-api-connect
Description: A tool for making HTTP requests through the Model Context Protocol (MCP)
Author: Jacob Waldor
Latest version: 1.0.5

# MCP API Connect

Model Context Protocol (MCP) server to connect to any REST API. All you have to do is provide API documentation and API keys in a message.

## Setup with Claude Desktop

1. Install the package globally:

```bash
npm i -g mcp-api-connect
```

2. Run the setup command:

```bash
mcpapiconnect install
```

3. Restart Claude
npm package: @iflow-mcp/k1ta141k-mcp-bench-router
Description: MCP server that delegates design tasks to the top-ranked model on designarena.ai via OpenRouter
Author: K1ta141k
Latest version: 1.0.1

# mcp-bench-router

MCP server that delegates design tasks to whichever model currently tops [designarena.ai](https://www.designarena.ai)'s crowdsourced leaderboard, via [OpenRouter](https://openrouter.ai).

## Why?

AI coding assistants produce mediocre frontend/design output. designarena.ai maintains a live leaderboard of the best design models, updated every 2 hours. This MCP server lets Claude (or any MCP client) automatically route design tasks to the current best model.

## Tools

| Tool | Description |
|------|-------------|
| `get_best_design_model` | Get the current #1 design model, optionally by category |
| `get_leaderboard` | Browse full rankings with category filter and pagination |
| `query_design_model` | Send a prompt to the best available model via OpenRouter |
| `query_specific_model` | Send a prompt to a specific model via OpenRouter |

## Setup

### Prerequisites

- Node.js >= 18
- An [OpenRouter API key](https://openrouter.ai/keys) (required for `query_design_model` and `query_specific_model`)

### Claude Code (CLI)

```bash
claude mcp add mcp-bench-router -s user -e OPENROUTER_API_KEY=sk-or-... -- npx -y mcp-bench-router
```

### Claude Desktop

Add to `~/Library/Application Support/Claude/claude_desktop_config.json` (macOS) or `%APPDATA%\Claude\claude_desktop_config.json` (Windows):

```json
{
  "mcpServers": {
    "mcp-bench-router": {
      "command": "npx",
      "args": ["-y", "mcp-bench-router"],
      "env": {
        "OPENROUTER_API_KEY": "sk-or-..."
      }
    }
  }
}
```

### Cursor

Add to `.cursor/mcp.json` in your project root:

```json
{
  "mcpServers": {
    "mcp-bench-router": {
      "command": "npx",
      "args": ["-y", "mcp-bench-router"],
      "env": {
        "OPENROUTER_API_KEY": "sk-or-..."
      }
    }
  }
}
```

### Other MCP clients

```bash
OPENROUTER_API_KEY=sk-or-... npx -y mcp-bench-router
```

### From source

```bash
git clone https://github.com/K1ta141k/mcp-bench-router.git
cd mcp-bench-router
npm install
npm run build
```

## Categories

Filter by design category: `allcategories`, `website`, `gamedev`, `3d`, `dataviz`, `uicomponent`, `image`, `logo`, `svg`, `video`, `imagetoimage`, `slides`, `graphicdesign`, `tts`.

## Usage Examples

**Check who's #1:**
> "Use get_best_design_model to see the current top design model"

**Browse rankings:**
> "Show me the top 20 design models for websites"

**Generate a design:**
> "Use query_design_model to create a landing page for a SaaS product"

**Use a specific model:**
> "Use query_specific_model with claude-sonnet-4-5 to design a dashboard"

## How It Works

1. Fetches live rankings from designarena.ai's API (cached 2hr)
2. Maps arena model names to OpenRouter IDs (static + dynamic + fuzzy matching)
3. Skips codename/unreleased models and picks the best available one
4. Routes the prompt through OpenRouter's API

## License

MIT
npm package: @iflow-mcp/k2wanko-voicepeak-mcp
Description: MCP server for VOICEPEAK text-to-speech synthesis
Author: k2wanko
Latest version: 0.5.0

# voicepeak-mcp

[English](./README.en.md)

VOICEPEAK テキスト読み上げ機能のための MCP サーバー。

## 前提条件

- VOICEPEAK がインストールされていること

## インストール

### NPX を使用（推奨）
```bash
npx voicepeak-mcp@latest
```

### Bunx を使用
```bash
bunx voicepeak-mcp
```

## 設定

Claude Desktop の設定に追加：

```json
{
  "mcpServers": {
    "voicepeak": {
      "command": "npx",
      "args": ["voicepeak-mcp@latest"]
    }
  }
}
```

## 利用可能なツール

### synthesize
テキストから音声ファイルを生成します（最大140文字）。

パラメータ:
- `text`（必須）: 合成するテキスト
- `narrator`: ナレーター名
- `emotion`: 感情パラメータ
- `speed`: 話速（50-200）
- `pitch`: ピッチ（-300〜300）
- `outputPath`: 出力ファイルパス

### synthesize_and_play
音声を生成して即座に再生します（最大140文字）。

### play
音声ファイルを再生します。

### list_narrators
利用可能なナレーターをリストします。

### list_emotions
ナレーターの利用可能な感情をリストします。

### dictionary_list
全ての発音辞書エントリをリストします。

**注意**: 辞書機能は Windows では利用できません。Windows ユーザーは VOICEPEAK アプリケーションで発音辞書を管理してください。

### dictionary_add
カスタム発音のための辞書エントリを追加または更新します。

パラメータ:
- `surface`（必須）: 置き換えるテキスト
- `pronunciation`（必須）: 日本語かなでの発音
- `priority`: 優先度（0-10、デフォルト: 5）

**注意**: Windows では利用できません。

### dictionary_remove
辞書エントリを削除します。

**注意**: Windows では利用できません。

### dictionary_find
テキストで辞書エントリを検索します。

**注意**: Windows では利用できません。

### dictionary_clear
全ての辞書エントリをクリアします。

**注意**: Windows では利用できません。

## 対応プラットフォーム

- ✅ macOS（全機能対応）
- ⚠️ Windows（部分対応：音声合成・再生のみ、辞書機能は非対応）
- 🚧 Linux（予定）

### Windows での制限事項
Windows 版では、発音辞書の管理機能（dictionary_*）が利用できません。発音のカスタマイズが必要な場合は、VOICEPEAK アプリケーションから辞書を管理してください。

## 貢献

イシューやプルリクエストを歓迎します！
npm package: @iflow-mcp/k4cper-g-fumadocs-mcp
Description: MCP server for Fumadocs documentation - helps AI tools integrate Fumadocs into existing projects
Author: k4cper-g
Latest version: 1.0.0

# Fumadocs MCP Server

An MCP (Model Context Protocol) server that provides AI tools with access to [Fumadocs](https://fumadocs.dev) documentation. This makes it easier for AI assistants to help you integrate Fumadocs into your existing projects.

## Features

- **Search documentation** - Find relevant docs by keyword
- **Browse topics** - Explore documentation sections
- **Fetch pages** - Get full content of any documentation page
- **Setup guides** - Get framework-specific installation instructions
- **Component docs** - Get UI component documentation with props and examples

## Installation

### Using npx (recommended)

```bash
npx fumadocs-mcp
```

### Global installation

```bash
npm install -g fumadocs-mcp
fumadocs-mcp
```

### From source

```bash
git clone https://github.com/k4cper-g/fumadocs-mcp
cd fumadocs-mcp
npm install
npm run build
```

## Configuration

### Claude Desktop

Add to your Claude Desktop configuration file:

**macOS**: `~/Library/Application Support/Claude/claude_desktop_config.json`
**Windows**: `%APPDATA%\Claude\claude_desktop_config.json`

```json
{
  "mcpServers": {
    "fumadocs": {
      "command": "npx",
      "args": ["fumadocs-mcp"]
    }
  }
}
```

Or if installed from source:

```json
{
  "mcpServers": {
    "fumadocs": {
      "command": "node",
      "args": ["/path/to/fumadocs-mcp/build/index.js"]
    }
  }
}
```

### Claude Code

The MCP will be automatically available when configured in Claude Desktop.

## Available Tools

### `list_topics`

Browse available documentation sections and topics.

```
Parameters:
- section (optional): "all" | "cli" | "headless" | "framework" | "mdx" | "ui"
```

### `search_docs`

Search documentation by keyword.

```
Parameters:
- query (required): Search query string
- section (optional): Filter to a specific section
```

### `get_page`

Fetch the full content of a documentation page.

```
Parameters:
- path (required): Documentation path (e.g., "/docs/manual-installation/next")
```

### `get_setup_guide`

Get a complete setup guide for adding Fumadocs to an existing project.

```
Parameters:
- framework (required): "next" | "react-router" | "tanstack-start" | "waku"
- includeUI (optional): Whether to include UI setup instructions (default: true)
```

### `get_component`

Get documentation for a specific UI component.

```
Parameters:
- component (required): Component name (e.g., "accordion", "tabs", "codeblock")
```

## Example Usage

Once configured, you can ask Claude things like:

- "How do I add Fumadocs to my existing Next.js project?"
- "Show me how to use the Tabs component in Fumadocs"
- "Search for documentation about internationalization"
- "What components are available in Fumadocs UI?"

## Development

```bash
# Install dependencies
npm install

# Build
npm run build

# Run in development mode
npm run dev

# Test with MCP Inspector
npm run inspector
```

## License

MIT