Provides AI coding agents with simplified Figma layout information via the Model Context Protocol.
Provides an AI-native API gateway for cloud-native applications, extending Envoy and Istio with Wasm plugins.
Maintains a comprehensive directory of publicly accessible Model Context Protocol (MCP) servers, enabling interaction between large language models and external systems.
Proxies requests to the Google Programmable Search Engine, providing caching, rate-limiting, and metrics.
Maintains a curated list of Model Context Protocol (MCP) servers.
Enables AI assistants to interact with Google Gemini CLI, leveraging its massive token window for large file analysis and codebase understanding.
Provides an open-source memory layer specifically designed for AI coding agents.
Orchestrates intelligent multi-agent swarms and autonomous workflows to build advanced AI systems.
Orchestrates production-ready AI systems, enabling organizations to deploy, manage, and scale AI with real Google API integrations and agent-optimized architecture.
Provides a lightweight Model Context Protocol (MCP) server to efficiently interact with Linear, offering streamlined issue management and workspace insights.
Connect AI models to thousands of APIs, data sources, and tools with a single function call, abstracting away the complexities of the Model Context Protocol.
Provides a server to enhance Astro project development with runtime and documentation insights for AI models and development tools.
Provides reference implementations for the Model Context Protocol, enabling Large Language Models with secure, controlled access to external tools and diverse data sources.
Powers AI workflows on macOS with an always-on edge runtime for local and cloud models, enabling shared tools via Model Context Protocol.
Provides an open-source, self-hostable API for real-time meeting transcription and intelligent bot interactions across Google Meet, Microsoft Teams, and Zoom.
Provides reference implementations for the Model Context Protocol, demonstrating how to enable Large Language Models with secure, controlled access to tools and data sources.
Establishes a mesh network among multiple Claude Code instances, enabling discovery, communication, and task delegation.
Provides AI-powered backend diagnostics by statically analyzing code to surface bugs, contract drift, and security gaps before deployment.
Empowers AI agents with persistent memory, real-time communication, and an evolution engine to continuously learn and improve.
Empower AI agents to enrich B2B leads by finding work emails, phone numbers, company data, tech stacks, and buying intent signals from a database of over 60 million companies and 300 million contacts.
Empower teams with an open-source design and prototyping platform that bridges the gap between design and code through real-time collaboration.