61,938 results in MCPs, Hooks, Infrastructure, Memory · page 12 of 2,581
InfrastructurePreview
e2b-desktop
E2B Desktop Sandbox: a cloud virtual desktop (Ubuntu + VNC) with Python SDK for screenshot, mouse, keyboard, and process control; designed for AI agents that need a full GUI environment in an isolated VM.
Enables Claude to control iOS simulators for testing and debugging applications by providing tools for UI interaction, element inspection, and device information retrieval through Facebook's IDB tool.
Integrates with Garmin Connect to expose fitness and health data, enabling access to activities, detailed workout information, and health metrics like heart rate through natural language interactions.
Provides intelligent code analysis and manipulation across multiple programming languages through language server protocols, enabling developers to explore, understand, and refactor complex codebases.
Provides a bridge to Facebook's Marketing API for analyzing ad campaigns, reviewing creatives, and monitoring metrics through secure OAuth authentication
Use to let an agent read and write an Obsidian vault (search notes, follow wikilinks, and update frontmatter) so a markdown knowledge graph becomes a first-class agent surface.
Enables two-way voice conversations through multiple transport methods including local microphone recording and LiveKit room-based communication, with configurable STT/TTS services and automatic transport fallback for creating voice-enabled applications.
High-performance code graph and code intelligence engine. Index code base into knowledge graph, supports 257 languages and native multi repositories environment
A pluggable, observable modular RAG framework exposing tools via MCP protocol for AI assistants like Copilot/Claude to query knowledge bases, list collections, and retrieve document summaries.
Provides a bridge between MongoDB databases and conversational interfaces, enabling comprehensive database operations, collection management, schema inspection, and Atlas cloud service interactions with authentication and telemetry support.
A framework for creating multi-agent systems using MCP for coordinated AI collaboration, featuring task management, shared context, and RAG capabilities.
Provides a streamlined interface for executing complex coding tasks including file operations, Git commands, and web searches without permission interruptions by automatically bypassing constraints.
Emergence AI agent-E browser agent: hierarchical LLM-based web automation that uses DOM distillation and action abstraction layers to achieve significantly higher benchmark accuracy than prior browser agents.
Enterprise marketplace platform for packaging, publishing, and managing AI assets like Model APIs and MCP Servers with developer onboarding, subscription management, and automated approval workflows.
Production-ready RAG platform combining Graph RAG, vector search, and full-text search. Best choice for building your own Knowledge Graph and for Context Engineering