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Manage tasks and projects using a command-line kanban board with integrated AI assistance.
Streamlines React Native development by automating common tasks and providing AI-assisted guidance through the Model Context Protocol.
Connects autonomous agents to facilitate real-time collaboration, messaging, task handoffs, and shared context.
Provides real-time Dutch Railways (NS) data for comprehensive journey planning, live departures, disruption alerts, and station search.
Fetches comments from GitHub Pull Requests, including file paths, line ranges, and replies, using a personal access token.
Provides a summary page and search capabilities using Google and Bing.
Integrates AI agents with a microservices ecosystem to automate business operations like order, payment, and incident management through natural language.
Serves the Azure OpenAI gpt-image-1 model as a Model Context Protocol (MCP) server, empowering AI assistants with advanced image generation and editing capabilities.
Enforces standardized development rules and context for Business Central projects.
Provides an open-source server for interacting with Forward Networks' platform, enabling network data automation, analysis, and integration.
Facilitates the sharing of health and fitness metrics on the decentralized Nostr protocol with a focus on user privacy and data control.
Combines DeepSeek and Claude AI models to deliver enhanced and comprehensive AI responses.
Enables LLMs to search and retrieve data from a Slack workspace.
Facilitates command-line interaction with LLMs, supporting MCP.
Implements a basic Model Context Protocol server using Dart.
Enables database interaction through MySQL, supporting SQL queries, table creation, and schema exploration.
Enables AI assistants to programmatically create, build, test, and manage iOS/macOS projects through Xcode functionality.
Empowers AI assistants to automate project creation, configuration management, and data querying for applications built on Openfort's infrastructure.
Builds Android projects and provides error feedback to Large Language Models.
Provides a comprehensive suite of Python functions and an MCP server for interacting with Kubernetes clusters, primarily for building intelligent agents.
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