Connect any AI agent to Solana protocols for autonomous interaction with web3 functionalities.
Connects AI agents to a Linux machine by providing a lightweight API bridge for executing commands.
Build and deploy open-source Model Context Protocols (MCPs) on Slack, Discord, and the web.
Facilitates AI-assisted cybersecurity research, scanning, and analysis by connecting AI assistants to security tools through the Model Context Protocol (MCP).
Connects AI agents with Azure services, enabling exploration, querying, and management of Azure resources.
Provides a unified, cloud-native observability database for metrics, logs, and traces, supporting SQL, PromQL, and streaming analytics.
Builds a project-specific knowledge graph to supercharge AI assistants with context-aware Retrieval Augmented Generation (RAG) capabilities.
Captures screenshots on macOS without user interaction, enabling AI assistants to visually analyze UI bugs, designs, and data.
Integrates AI models into Ruby applications via the Model Context Protocol.
Proxies the remote LunarCrush AI and market intelligence capabilities via a local stdio transport.
Enables AI assistants to generate and edit images leveraging Google's Gemini 2.5 Flash Image API within MCP-compatible tools.
Provides AI-powered image and video analysis capabilities through a Model Context Protocol server, leveraging Google Gemini and Vertex AI models.
Enables AI agents to measure, exchange, and settle value on-chain within a decentralized network.
Enables AI agents to control web browsers via a Chrome extension, offering full Playwright API access with minimal context overhead.
Enables Snowflake Cortex AI capabilities, object management, and SQL orchestration within the Model Context Protocol ecosystem for seamless integration with AI agent clients.
Automates context management and agent orchestration for AI coding agents directly within your Git repository.
Provides an infrastructure layer for AI agents to connect and manage tools across various environments.
Generates image assets using Google Gemini AI, offering advanced control over output format, transparency, and resizing.
Provides an open-source execution engine for building and automating AI agents with granular control through modular workflows.
Integrates AI clients with QQ for real-time private and group chat communication via the OneBot v11 protocol.
Provides a lean, secure, and locally-controlled AI bot designed to protect user data with end-to-end encryption while interacting with various platforms and system tools.