Enables AI-powered applications to monitor and interact with browser data via a Chrome extension and MCP.
Provides remote access to memory bank files via the Model Context Protocol (MCP).
Provides a standardized interface for accessing and managing HubSpot CRM data using the Model Context Protocol.
Control Unreal Engine through natural language using the Model Context Protocol (MCP).
Enables configuration and management of Higress through a Model Context Protocol (MCP) server implementation.
Provides AI assistants with real-time access to NixOS packages, system options, Home Manager settings, and nix-darwin macOS configurations.
Provides an open-source AI observability platform designed for experimentation, evaluation, and troubleshooting of LLM applications.
Provides a template for creating and distributing Unity packages with versioning and dependency management.
Enables developers to write Model Context Protocol servers and clients in Go with minimal code.
Collects and aggregates domestic enterprise information from various sources to aid in reconnaissance tasks.
Curates a list of Model Context Protocol (MCP) servers specifically for cryptocurrency-related applications.
Demonstrates security vulnerabilities in Model Context Protocol (MCP) implementations for educational purposes.
Facilitates access to various Turkish legal databases, providing a standardized Model Context Protocol (MCP) interface.
Integrates Attio CRM data with AI assistants for seamless interaction.
Empower ChatGPT with long-term memory by creating custom knowledge bases from uploaded documents and retrieving relevant answers using the OpenAI and Pinecone vector database stack.
Provides a developer-friendly, embedded retrieval engine for multimodal AI, enabling efficient search and data management.
Provides containerized development environments, enabling multiple coding agents to work safely and independently with diverse tech stacks.
Aggregates and unifies multiple Model Context Protocol (MCP) servers, enabling middleware application and dynamic management.
Bridges large language models and AI agents with physical robots, translating natural language commands into ROS/ROS2 instructions without code changes.
Automates context management and agent orchestration for AI coding agents directly within your Git repository.
Automate and solve complex problems by creating and managing multi-AI agent systems with a low-code framework.