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Facilitates interaction with JIRA APIs through Claude Desktop for issue management and user search.
Demonstrates a Model Context Protocol (MCP) server using `stdio` transport.
Enables AI models to securely interact with AWS S3 buckets by providing a standardized interface for listing buckets, listing objects, and downloading file contents.
Enables AI assistants to interact with and execute Metasploit Framework commands through a standardized interface.
Offers fundamental mathematical operations, such as addition and subtraction, to integrate with AI clients via a Model Context Protocol server.
Enables autonomous AI agents to engage in economic interactions and task delegation using emerging protocols.
Provides a foundational backend server for specialized application needs.
Integrates SQLite, Filesystem, AWS IAM, and Gmail services into a modular platform accessible via a Streamlit-based Claude UI, optimizing AI interactions for cost-effectiveness.
Provides a Next.js-based Model Context Protocol server with integrated Clerk authentication and user-specific API key management.
Provides a comprehensive Retrieval-Augmented Generation (RAG) server, offering robust file management and vector memory capabilities for AI agents.
Provides AI agents with real-time Stockholm public transport data for answering travel-related queries.
Provides traditional Chinese lunar calendar information, including auspicious date checking, festival data, moon phases, and zodiac insights, ready for AI applications.
Enables AI assistants and other Model Context Protocol (MCP) clients to search and browse datasources through the Ergs web API.
Centralizes documentation, examples, and search tools to enhance development with InterSystems IRIS ObjectScript.
Facilitates the creation of Model Context Protocol (MCP) servers and their integration with any Large Language Model (LLM) for enhanced AI agent capabilities.
Enables AI assistants to perform real-time web searches and access specialized data using the Exa AI Search API.
Provides access to real-time Korean subway information through the Model Context Protocol (MCP) standard.
Provides a monorepo of three distinct Model Context Protocol (MCP) server implementations for various runtime environments and use cases.
Provides a flexible, unified server architecture for hosting and exposing diverse Model Context Protocol (MCP) tools through independent endpoints.
Build production-ready Model Context Protocol servers in TypeScript to extend large language models with custom functionality.
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