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Posts messages to Discord channels using webhooks.
Integrates Dropbox with Model Context Protocol, allowing MCP clients to interact with Dropbox's API.
Enables Large Language Models (LLMs) to interact with external tools through the Model Context Protocol (MCP).
Connects Model Context Protocol (MCP) clients to remote APIs using a dynamically loaded configuration.
Executes JavaScript code in a browser from Python using MCP, enabling interaction with web pages through server-sent events.
Provides a backend service for handling email-related operations.
Integrates Baidu's iRAG image generation API, allowing Model Context Protocol (MCP) clients to create images through a standardized interface.
Develops an agentic chatbot application integrating Spring AI, Model Context Protocol (MCP), NodeJS, Python, and Ollama with the Mistral model for enhanced capabilities.
Revolutionizes code exploration by providing an intelligent, conversational code discovery platform built around Algolia MCP Server.
Integrates Browserbase's headless browser capabilities with large language models (LLMs) via the Model Context Protocol (MCP).
Enables desktop notifications and status bar messages through integration with polybar and dunst.
Enables dynamic database querying through an LLM-powered chatbot system.
Integrates API functionality from Postman collections into an MCP-compatible server for AI agent interaction.
Provides an isolated execution environment for AI agents.
Provides a production-ready FastMCP reference server, including hackathon resources and reusable starter prompts.
Provides AI assistants with real-time web search capabilities through DuckDuckGo.
Bridges Large Language Models with the ResilientDB blockchain platform, enabling AI agents to perform smart contract operations, GraphQL queries, and key-value store interactions.
Unifies access to neuroscience datasets, enabling discovery and fetching of metadata from major repositories like OpenNeuro, DANDI, and PhysioNet through a single Python API and CLI.
Integrates Confluence Cloud and Jira Cloud functionalities through a .NET Model Context Protocol (MCP) server.
Connects LLM applications to external tools, resources, and knowledge bases via the Model Context Protocol using a high-performance Rust server.
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