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MCP server · AI

Parsely

Model Context Protocol server for Parse.ly analytics API

37Low

Scored 5 months ago · breakdown

About Parsely

Parsely is an MCP server in the AI category: model Context Protocol server for Parse.ly analytics API. It has been installed 0 times through Conduid.

Install

Claude Code
claude mcp add parsely -- npx -y parsely-mcp
npx
npx -y parsely-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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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:

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

README mirrored from the source repository 5 months ago. The original is authoritative.

Questions

About Parsely

How do I install Parsely?

Run claude mcp add parsely -- npx -y parsely-mcp, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is Parsely safe to use with an AI agent?

Its trust score is 37 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Parsely still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.