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Provides comprehensive Trello integration as a Model Context Protocol server, securely deployed on Cloudflare Workers.
Provides read-only access to local Beeper chat conversations on macOS for Model Context Protocol (MCP) clients.
Tracks Ethereum’s validator activation and exit queues in real time for AI agents and real-time monitoring.
Serves the current time via Model Context Protocol (MCP) with timezone support.
Serves Python coding best practices and guidelines via a Model Context Protocol (MCP) server for general development and FastAPI APIs.
Integrates ChatGPT functionality within a Next.js application environment.
Exposes a user's GitHub starred repositories as structured resources for large language model (LLM) applications.
Provides real-time SEO intelligence, site audits, and AI-powered recommendations directly within your IDE.
Automate the transformation of markdown templates into both FastAPI endpoints and MCP tools, streamlining development workflows.
Provides an MCP server for accessing real-time weather data from the API Ninjas Weather API.
Provides access to the Weatherapi Com API for real-time, historical, and forecast weather data, alongside specialized information like astronomy, marine, and sports event details.
Facilitates sending emails through the Resend API for AI assistants.
Enables an intelligent assistant to store, retrieve, and update user preferences and memories through an MCP-driven chat interface.
Provides a server to programmatically access and manage CubeCobra data and tools for developers.
Manages the Figma API with intelligent context, pagination, and token optimization to efficiently extract design data.
Manages CloudLab/Emulab experiments, enabling AI assistants to directly interact with your experimental setups.
Empowers AI agents with project-specific rulebooks to ensure consistency and adherence to coding standards, conventions, and architectural patterns.
Enhances LLM context with Retrieval-Augmented Generation by ingesting and searching across various document formats.
Manages grocery lists via simple CRUD operations, leveraging a Firebase Firestore backend.
Verifies and reports the supported Model Context Protocol (MCP) capabilities of connected hosts or clients.
Combines a Todo web API with Model Context Protocol (MCP) server support, enabling AI agents to interact directly with application data and functionality.
Builds a production-ready Retrieval-Augmented Generation (RAG) application with Streamlit, LangChain, and ChromaDB, supporting MCP integration for tool calling and multiple LLM providers like OpenAI and Ollama.
Bridges LLM clients with hyperautomation workflows to enable dynamic security orchestration through natural language interactions.
Access over 249 APIs effortlessly through the Model Context Protocol for seamless integration and development.
Automates multi-language test discovery and execution for AI assistants, supporting Python, JavaScript/TypeScript, Go, Rust, Java, and Ruby projects.
Connects AI assistants to Veeam Backup & Replication infrastructure via the Model Context Protocol (MCP) using a unique hybrid architecture.
Manages intelligent research data using vector embeddings and semantic search for saving, organizing, and retrieving content, deployed on AWS EC2.
Enables AI-driven Python code generation and secure execution by integrating large language models with the Model Context Protocol for seamless tool utilization.
Enables AI agents to interact seamlessly with the Instamolt social network by defining their capabilities, authentication, and behavior.
Facilitates autonomous buying and selling of TRON Energy and Bandwidth resources for AI agents and users.
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