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.
A Model Context Protocol server for Excel file manipulation. This server enables workbook creation, data manipulation, formatting, and advanced Excel features.
Airtable Model Context Protocol Server, for allowing AI systems to interact with your Airtable bases
A Model Context Protocol server that provides MySQL database operations. This server enables AI models to interact with MySQL databases through a standardized interface.
mcp-obsidian
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MCP server that interacts with Obsidian via the Obsidian rest API community plugin
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A CLI host application that enables Large Language Models (LLMs) to interact with external tools through the Model Context Protocol (MCP).
All-in-one MCP server with AI search, RAG, and multi-service integrations (GitLab/Jira/Confluence/YouTube) for AI-enhanced development workflows
This is a TypeScript-based MCP server that allows searching for New York Times articles from the last 30 days based on a keyword. It demonstrates core MCP concepts by providing: Tools for searching articles Integration with the New York Times API
MCP server for interacting with Neon Management API and databases
A Model Context Protocol (MCP) server that empowers LLMs to use some of Open Srategy Partners' core writing and product marketing techniques.
A Model Context Protocol (MCP) server that provides access to the Rijksmuseum's collection through natural language interactions. This server enables AI models to explore, analyze, and interact with artworks and collections from the Rijksmuseum.
MCP Server for SearXNG
A Model Context Protocol (MCP) server that provides search and crawl functionality using Search1API.
MCP Server for the Slack API, enabling Claude to interact with Slack workspaces.
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.