open-index/open-npm huggingface dataset:
npm package: @mseep/coincap-mcp
Description: A MCP server to get crypto prices from coincap
Author: Alex Andru
Latest version: 0.9.3

# Coincap MCP

[![smithery badge](https://smithery.ai/badge/coincap-mcp)](https://smithery.ai/server/coincap-mcp)

## What does this server do?

Allows you to query crypto information from coincap's public API - no API keys or registration required

## 🚀 Quick Start

To get started, 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": {
    "mongodb": {
      "command": "npx",
      "args": ["coincap-mcp"]
    }
  }
}
```

### Installing via Smithery

To install Coincap for Claude Desktop automatically via [Smithery](https://smithery.ai/server/coincap-mcp):

```bash
npx -y @smithery/cli install coincap-mcp --client claude
```

### Prerequisites

- Node.js 18+
- npx

Then, launch Claude Desktop and you're ready to go!

## Sample Prompts

- What is the price of bitcoin?
- What are the available crypto assets?
- What is the market cap of ethereum?

## Tools

#### Bitcoin Price Tool

Gets price for Bitcoin specifically, it's a simple example of a primitive API call tool

#### Get Crypto Price Tool

Gets price for any cryptocurrency available on coincap API. It's a good example of how to get mandatory parameter data for your tool calls

#### List Assets

Gets a list of all crypto assets available in coincap API

## Development - local build

To build it locally:

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

```json
{
  "mcpServers": {
    "coincap-mcp": {
      "command": "/path/to/coincap-mcp/build/index.js"
    }
  }
}
```

## Development

Install dependencies:

```bash
npm install
```

Build the server:

```bash
npm run build
```

For development with auto-rebuild:

```bash
npm run watch
```

## 📜 License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
npm package: @mseep/confluence-wiki-mcp-server-extension
Description: A VSCode/Cursor extension providing an MCP Server for Confluence Wiki integration
Author: Windie Chai
Latest version: 1.1.4

# Confluence Wiki MCP Server Extension

A VSCode/Cursor extension providing an MCP Server for Confluence Wiki integration.

## Features

- Integrate with Confluence Wiki through MCP Server
- Easy configuration interface with secure credential storage
- Convert Wiki content to Markdown format

## How to Use

1. **Configure Confluence Wiki Connection**
   - Open Command Palette (`Cmd+Shift+P` / `Ctrl+Shift+P`)
   - Type "Confluence Wiki MCP Server: Configuration" and select it
   - In the configuration page, enter your:
     - Confluence Wiki Host URL
     - Username
     - Password
   - Click "Save Configuration" button
   - Your credentials will be securely stored in an encrypted file

2. **Set up MCP Server in Cursor**
   - Open Cursor's Settings
   - Navigate to "MCP" section
   - Click "Add new MCP Server"
   - Configure the server with following information:
     - Name: Wiki
     - Type: Command
     - Command: [The path shown in Configuration page]

3. **Using the Wiki MCP Server in Cursor**
   - Open a chat with Claude or another AI model in Cursor
   - Switch to "Edit" or "Agent" mode for best results
   - In your prompt, include the Wiki URL and any specific requirements, for example:
     ```
     Please summarize the content from this Confluence Wiki page: 
     https://your-wiki-url
     ```
   - Send your message
   - Cursor will recognize the Wiki URL and prompt you to call this MCP Tool
   - Click "Run tool" when prompted
   - The extension will fetch the content, convert it to Markdown, and provide it to the AI model
   - The AI will then respond based on the Wiki content

After completing these steps, your Cursor will be able to fetch content from your Confluence Wiki through the MCP Server.

**Note**: Your credentials are stored securely in an encrypted file and are never exposed in VSCode settings.