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
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A middleware to provide an openAI compatible endpoint that can call MCP tools
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MCP Server for Alpha Advantage API
A Model Context Protocol (MCP) server for interacting with the App Store Connect API. This server provides tools for managing apps, beta testers, bundle IDs, devices, and capabilities in App Store Connect.
A Model Context Protocol (MCP) server that lets AI assistants like Claude control Apple Shortcuts automations. This enables AI models to trigger shortcuts and automate tasks on macOS in a safe and controlled way.
A Model Context Protocol server for searching and analyzing arXiv papers
A Model Context Protocol server that provides access to BigQuery. This server enables LLMs to inspect database schemas and execute queries.
A Model Context Protocol (MCP) server that enables AI models to interact with Bitcoin, allowing them to generate keys, validate addresses, decode transactions, query the blockchain, and more.
A simple MCP server that can enable MCP clients to query Bluesky instances.
An MCP server implementation that integrates the Brave Search API, providing both web and local search capabilities.
A secure Model Context Protocol (MCP) server implementation for executing controlled command-line operations with comprehensive security features.
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.