Model Context Protocol
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Model Context Protocol (MCP) server for Atlassian products (Confluence and Jira). This integration supports both Atlassian Cloud and Jira Server/Data Center deployments.
MCP-Bridge
20
A middleware to provide an openAI compatible endpoint that can call MCP tools
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A Model Context Protocol (MCP) server that enables free web searching using Google search results, with no API keys required.
This MCP server provides a tool to download entire websites using wget. It preserves the website structure and converts links to work locally.
MCP Server implementation for Xcode integration. This server acts as a bridge between Claude and your local Xcode development environment, enabling intelligent code assistance, project management, and automated development tasks.
A Model-Context Protocol Server for YouTube. Uses `yt-dlp` to download subtitles from YouTube and connects it to claude.ai via Model Context Protocol.
Model Context Protocol (MCP) Server for Apify's Actors
Airtable Model Context Protocol Server, for allowing AI systems to interact with your Airtable bases
Ancestry MCP server made with Python that allows interactability with .ged (GEDCOM) files
Integrate Claude with Any OpenAI SDK Compatible Chat Completion API - OpenAI, Perplexity, Groq, xAI, PyroPrompts and more. This is a TypeScript-based MCP server that implements an implementation into any OpenAI SDK Compatible Chat Completions API.
Read your Apple Notes with Claude Model Context Protocol
Understanding Model Context Protocol (MCP)
Model Context Protocol (MCP) is a groundbreaking open-source protocol developed by Anthropic that revolutionizes how AI systems interact with external data sources. As the foundation for next-generation AI interactions, MCP enables AI assistants like Claude to establish secure and standardized connections with various data sources and tools.
Key Features of MCP
- Universal Standard: Provides a unified framework for AI systems to access external data, tools, and prompts
- Client-Server Architecture: Implements a robust and scalable architecture for seamless AI interactions
- Security-First Design: Ensures secure data transmission and access control between AI systems and data sources
- Tool Integration: Enables AI assistants to interact with various external tools and services
- Standardized Communication: Establishes consistent protocols for data exchange and interaction patterns
Benefits for AI Development
MCP represents a significant advancement in AI infrastructure, offering developers and organizations a standardized way to build and deploy AI applications. By providing a common protocol, MCP reduces implementation complexity and ensures compatibility across different AI systems and data sources.
Whether you're developing AI applications, managing data infrastructure, or implementing AI solutions, MCP provides the foundation for secure, efficient, and standardized AI interactions. Explore our directory to find MCP servers that match your specific needs and requirements.