parsely-mcp

parsely-mcp

MCP server that enables AI assistants to query Parse.ly analytics for top posts, authors, tags, referrers, content search, and social shares.

Category
访问服务器

README

Parse.ly MCP Server

A Model Context Protocol (MCP) server that provides access to Parse.ly analytics API. This server enables AI assistants like Claude to query Parse.ly data for content analytics, referrers, search, and social shares.

Built with Claude Code - See CLAUDE.md for development guidance.

Features

  • Dual Transport: Supports both stdio (for npx usage) and Streamable HTTP transport
  • Analytics Tools: Get metrics for top posts, authors, and tags with date-based queries
  • Referrer Data: Track traffic sources by type (social, search, other, internal)
  • Content Search: Search through Parse.ly content
  • Social Shares: View share counts across platforms
  • Date Range Support: Query specific days or ranges for time-based comparisons
  • Type-Safe: Built with TypeScript for reliability
  • Well-Tested: Comprehensive unit tests with mocked API responses
  • Docker Support: Easy containerized deployment with port exposure

Prerequisites

  • Node.js >= 20.0.0
  • Parse.ly API credentials (API key and secret)
  • Get your credentials from https://dash.parse.ly/

Installation

Quick Start with npx

The easiest way to use this server is via npx. Add it to your MCP client configuration:

{
  "mcpServers": {
    "parsely": {
      "command": "npx",
      "args": ["parsely-mcp"],
      "env": {
        "PARSELY_API_KEY": "your_api_key_here",
        "PARSELY_API_SECRET": "your_api_secret_here"
      }
    }
  }
}

This uses stdio transport, which is the default and works with Claude Desktop, Claude Code, and other MCP clients.

Local Development

  1. Clone the repository:
git clone https://github.com/dailybeast/parsely-mcp.git
cd parsely-mcp
  1. Install dependencies:
npm install
  1. Create a .env file from the example:
cp .env.example .env
  1. Edit .env and add your Parse.ly credentials:
PARSELY_API_KEY=your_api_key_here
PARSELY_API_SECRET=your_api_secret_here
PORT=8742
  1. Build the project:
npm run build
  1. Run the server:
# Stdio transport (default)
npm start

# HTTP transport
node dist/index.js --http

When using --http, the server starts on http://localhost:8742 with:

  • MCP endpoint: http://localhost:8742/mcp - Streamable HTTP transport (POST, GET, DELETE)
  • Health check: http://localhost:8742/health - Server health status

Docker

  1. Build the Docker image:
docker build -t parsely-mcp .
  1. Run the container with environment variables:
docker run -e PARSELY_API_KEY=your_key -e PARSELY_API_SECRET=your_secret -p 8742:8742 parsely-mcp

Available Tools

The MCP server exposes the following tools:

get_analytics_posts

Get analytics data for top posts.

  • Parameters: days (number, default: 7), limit (number, default: 10), sort (string, optional)

get_analytics_authors

Get analytics data for top authors.

  • Parameters: days (number, default: 7), limit (number, default: 10)

get_analytics_tags

Get analytics data for top tags.

  • Parameters: days (number, default: 7), limit (number, default: 10)

get_referrers

Get referrer data showing traffic sources.

  • Parameters: days (number, default: 7), limit (number, default: 10), type (string, optional: "social", "search", etc.)

search_content

Search Parse.ly content.

  • Parameters: query (string, required), limit (number, default: 10)

get_shares

Get social share data for posts.

  • Parameters: days (number, default: 7), limit (number, default: 10)

Development

Available Scripts

npm run build          # Compile TypeScript
npm run dev            # Watch mode for development
npm run lint           # Run ESLint
npm test               # Run tests
npm run test:watch     # Run tests in watch mode
npm run test:coverage  # Generate coverage report

Running Tests

Tests use mocked Parse.ly API responses and don't require real credentials:

npm test

For tests that need environment variables:

PARSELY_API_KEY=test PARSELY_API_SECRET=test npm test

Configuration

All configuration is done via environment variables:

Variable Required Default Description
PARSELY_API_KEY Yes - Your Parse.ly API key
PARSELY_API_SECRET Yes - Your Parse.ly API secret
PARSELY_API_BASE_URL No https://api.parse.ly/v2 Parse.ly API base URL
PORT No 8742 Server port (HTTP mode only)

API Documentation

For more information about the Parse.ly API:

Contributing

Contributions are welcome! Please ensure:

  1. All tests pass (npm test)
  2. Code is linted (npm run lint)
  3. TypeScript compiles without errors (npm run build)

License

MIT License - see LICENSE for details

Support

For issues and questions:

  • GitHub Issues: https://github.com/dailybeast/parsely-mcp/issues
  • Parse.ly Documentation: https://docs.parse.ly/

Acknowledgments

Development

This project uses CLAUDE.md for AI-assisted development guidance. The file contains:

  • Architecture overview and code organization
  • Common development commands
  • Testing requirements and conventions
  • Open-source best practices

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选