open-index/open-npm huggingface dataset:
npm package: @mseep/mcp-compass
Description: MCP Discovery & Recommendation Service - Find the right MCP server for your needs
Author: Yoshio Liu
Latest version: 1.0.7

# MCP Compass 🧭

[![Model Context Protocol](https://img.shields.io/badge/Model%20Context%20Protocol-purple)](https://modelcontextprotocol.org)

<a href="https://glama.ai/mcp/servers/85uxmq6wx7"><img width="380" height="200" src="https://glama.ai/mcp/servers/85uxmq6wx7/badge" alt="Compass MCP server" /></a>

## MCP Discovery & Recommendation

### Experience MCP Compass 🌐

You can now experience MCP discovery directly on our website!  
👉 **[Explore MCP Compass](https://mcphub.io/)** 👈  

Dive in to discover the power of MCP services in action with real-time recommendations and insights.

---

## What is this? 🤔

MCP Compass is a discovery & recommendation service that helps you explore Model Context Protocol servers. It acts as a smart guide that helps AI assistants find and understand available MCP services out there based on **natural language queries**, making it easier to discover and utilize the right tools for specific tasks.

### Quick Example
<div align="center">
  <img src="assets/demo.png" alt="MCP Compass Demo - Airtable Server Search" width="800"/>
</div>

## Features 🌟

- 🔍 **Smart Search**: Find MCP services using natural language queries
- 📚 **Rich Metadata**: Get detailed information about each service
- 🔄 **Real-time Updates**: Always up-to-date with the latest MCP services [![MCP Servers](https://img.shields.io/badge/MCP-Servers-red?logo=github)](https://github.com/modelcontextprotocol/servers)
- 🤝 **Easy Integration**: Simple to integrate with any MCP-compatible AI assistant

## Quick Start 🚀

### Usage

1. Clone the repository

or 

2. Use `npx`


### Installation

For Claude Desktop, edit your `claude_desktop_config.json` file:

#### MacOS/Linux
``` bash
code ~/Library/Application\ Support/Claude/claude_desktop_config.json
```

#### Windows
``` bash
code $env:AppData\Claude\claude_desktop_config.json
```

1. **As an MCP Service**:

   Add to your AI assistant's MCP configuration to enable service discovery capabilities.
   

   ``` json
   {
   "mcpServers": {
      "mcp-compass": {
         "command": "npx",
         "args": [
            "-y",
            "@liuyoshio/mcp-compass"
         ]
      }
   }
   }
   ```

   or

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



## License 📝

MIT License - See [LICENSE](LICENSE) file for details.

## Support 💬

- 🐛 [Report issues](https://github.com/liuyoshio/mcp-compass/issues)
- 💡 [Feature requests](https://github.com/liuyoshio/mcp-compass/issues)
- 📖 [Documentation](https://github.com/liuyoshio/mcp-compass)
npm package: @mseep/mcp-crypto-price
Description: A Model Context Protocol (MCP) server that provides real-time cryptocurrency data and analysis through CoinCap's API. Features include price tracking, market analysis, and historical trends.
Author: Tracey Russell
Latest version: 1.1.1

# Crypto Price & Market Analysis MCP Server
[![smithery badge](https://smithery.ai/badge/@truss44/mcp-crypto-price)](https://smithery.ai/server/@truss44/mcp-crypto-price) [![NPM Downloads](https://img.shields.io/npm/d18m/mcp-crypto-price)](https://www.npmjs.com/package/mcp-crypto-price)

<a href="https://glama.ai/mcp/servers/jpqoejojnc">
  <img width="380" height="200" src="https://glama.ai/mcp/servers/jpqoejojnc/badge" />
</a>

A Model Context Protocol (MCP) server that provides comprehensive cryptocurrency analysis using the CoinCap API. This server offers real-time price data, market analysis, and historical trends through an easy-to-use interface.

## Usage

Add this configuration to your Claude Desktop config file:

- **MacOS**: `~/Library/Application Support/Claude/claude_desktop_config.json`
- **Windows**: `%APPDATA%/Claude/claude_desktop_config.json`

```json
{
  "mcpServers": {
    "mcp-crypto-price": {
      "command": "npx",
      "args": ["-y", "mcp-crypto-price"]
    }
  }
}
```

## Optional: CoinCap API Key

For higher rate limits, add an API key to your configuration:

```json
{
  "mcpServers": {
    "mcp-crypto-price": {
      "command": "npx",
      "args": ["-y", "mcp-crypto-price"],
      "env": {
        "COINCAP_API_KEY": "YOUR_API_KEY_HERE"
      }
    }
  }
}
```

> **Important Note**: CoinCap is sunsetting their v2 API. This MCP supports both v2 and v3 APIs:
> - If you provide a `COINCAP_API_KEY`, it will attempt to use the v3 API first, falling back to v2 if necessary
> - Without an API key, it will use the v2 API (which will eventually be discontinued)
> - It's recommended to obtain an API key from [pro.coincap.io/dashboard](https://pro.coincap.io/dashboard) as the v2 API will be completely deactivated in the future

Launch Claude Desktop to start using the crypto analysis tools.

## Tools

#### get-crypto-price

Gets current price and 24h stats for any cryptocurrency, including:
- Current price in USD
- 24-hour price change
- Trading volume
- Market cap
- Market rank

#### get-market-analysis

Provides detailed market analysis including:
- Top 5 exchanges by volume
- Price variations across exchanges
- Volume distribution analysis
- VWAP (Volume Weighted Average Price)

#### get-historical-analysis

Analyzes historical price data with:
- Customizable time intervals (5min to 1 day)
- Support for up to 30 days of historical data
- Price trend analysis
- Volatility metrics
- High/low price ranges

## Sample Prompts

- "What's the current price of Bitcoin?"
- "Show me market analysis for ETH"
- "Give me the 7-day price history for DOGE"
- "What are the top exchanges trading BTC?"
- "Show me the price trends for SOL with 1-hour intervals"

## Project Inspiration

This project was inspired by Alex Andru's [coincap-mcp](https://github.com/QuantGeekDev/coincap-mcp) project.

## License

This project is licensed under the MIT License
npm package: @mseep/mcp-devcontainers
Description: MCP for devcontainers
Latest version: 0.0.3

# mcp-devcontainers

The MCP Devcontainers is a Model Context Protocol (MCP) server that provides a simple integration with the [devcontainers cli](https://github.com/devcontainers/cli).

<a href="https://glama.ai/mcp/servers/@crunchloop/mcp-devcontainers">
  <img width="380" height="200" src="https://glama.ai/mcp/servers/@crunchloop/mcp-devcontainers/badge" alt="Devcontainers MCP server" />
</a>

## Dependencies

This server requires **Docker** to be installed and running on your system, as it is used by the [devcontainers cli](https://github.com/devcontainers/cli) to build and manage development containers.

- [Docker installation guide](https://docs.docker.com/get-docker/)

No other dependencies are required to use the MCP Devcontainers server.

## Usage

MCP servers are configured differently depending on the client that you are using. For reference, this is how you would configure it using Claude Desktop.

```json
{
  "mcpServers": {
    "devcontainers": {
      "command": "npx",
      "args": [
        "-y",
        "@crunchloop/mcp-devcontainers"
      ]
    }
  }
}
```

## MCP Transport

At the moment, only `stdio` transport has been implemented.

## Tools

- **devcontainer_up** - Start or initialize a devcontainer environment in the specified workspace folder. Use this to ensure the devcontainer is running and ready for development tasks.
  - `workspaceFolder`: Path to the workspace folder (string, required)
  - `outputFilePath`: Path to write output logs (string, optional)

- **devcontainer_run_user_commands** - Run the user-defined `postCreateCommand` and `postStartCommand` scripts in the devcontainer for the specified workspace folder. Use this to execute setup or initialization commands after the devcontainer starts.
  - `workspaceFolder`: Path to the workspace folder (string, required)
  - `outputFilePath`: Path to write output logs (string, optional)

- **devcontainer_exec** - Execute an arbitrary shell command inside the devcontainer for the specified workspace folder. Use this to run custom commands or scripts within the devcontainer context.
  - `workspaceFolder`: Path to the workspace folder (string, required)
  - `command`: Command to execute (string[], required)
  - `outputFilePath`: Path to write output logs (string, optional)

## License

Released under the MIT License.  See the [LICENSE](./LICENSE) file for further details.