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
30
A middleware to provide an openAI compatible endpoint that can call MCP tools
An MCP server implementation that integrates the Brave Search API, providing both web and local search capabilities.
mcp-golang
26
Write Model Context Protocol servers in few lines of go code. Docs at https://mcpgolang.com
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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
MCP Server for the Notion API, enabling Claude to interact with Notion workspaces.
A Model Context Protocol (MCP) server for querying the ORKL API. This server provides tools for fetching and analyzing threat reports, threat actors, and sources. It integrates smoothly with MCP-compatible applications.
A Model Context Protocol (MCP) server that empowers LLMs to use some of Open Srategy Partners' core writing and product marketing techniques.
Talk to any OpenAPI (v3.1) compliant API through Claude Desktop! This tool creates a Model Context Protocol (MCP) server that acts as a proxy for any API that has an OpenAPI v3.1 specification. This allows you to use Claude Desktop to easily interact with both local and remote server APIs.
Connect any Open Data to any LLM with Model Context Protocol.
MCP server for Oura API integration. It allows language models to query sleep, readiness, and resilience data from Oura API.
MCP Server for the Perplexity API.
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.