Model Context Protocol (MCP) Servers Collection
by hithereiamaliff
This repository contains a collection of Model Context Protocol (MCP) servers designed to interact with large language models (LLMs). These servers provide specialized interfaces for different use cases, extending the capabilities of AI assistants.
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What is Model Context Protocol (MCP) Servers Collection?
This is a collection of Model Context Protocol (MCP) servers designed to extend the capabilities of AI assistants by providing them with additional tools and data sources. It includes servers for Perplexity search integration and Keywords Everywhere API integration, allowing AI models to access up-to-date information and keyword research data.
How to use Model Context Protocol (MCP) Servers Collection?
Each server has its own installation and usage instructions in its respective directory. Generally, you'll need Node.js, npm or yarn, and API keys for external services. Clone the repository, navigate to the server directory, install dependencies, configure environment variables, and start the server. Configuration examples for Claude Desktop are provided in the README.
Key features of Model Context Protocol (MCP) Servers Collection
Simple REST API interface
Configurable search parameters
Response formatting optimized for LLM consumption
Rate limiting and caching to manage API usage
Access to keyword volume, CPC, and competition data
Support for related keywords and 'People Also Search For' data
Domain and URL keyword analysis capabilities
Backlink analysis tools
Traffic metrics for domains and URLs
Use cases of Model Context Protocol (MCP) Servers Collection
Enabling AI models to search the web for current information
Providing structured access to specific databases or knowledge sources
Creating specialized interfaces for domain-specific tasks
Building middleware that connects AI systems to other software
FAQ from Model Context Protocol (MCP) Servers Collection
What is an MCP server?
What is an MCP server?
MCP servers are designed to interact with large language models (LLMs), providing specialized interfaces for different use cases.
What are the current servers available?
What are the current servers available?
Currently, the repository contains two MCP servers: mcp-perplexity-search and mcp-keywords-everywhere.
What is mcp-perplexity-search?
What is mcp-perplexity-search?
A server that integrates with the Perplexity API to enable AI models to perform internet searches.
What is mcp-keywords-everywhere?
What is mcp-keywords-everywhere?
A server that provides a wrapper around the Keywords Everywhere API, allowing AI models to access keyword research data and SEO metrics.
How do I configure these servers in Claude Desktop?
How do I configure these servers in Claude Desktop?
You need to add them to the Claude Desktop configuration file located at %APPDATA%\Claude\claude_desktop_config.json, providing the command and arguments to start the server.