62,528 results in Sub-Agents, Memory, Infrastructure, MCPs · page 4 of 2,606
MCPsExperimental
tradingview-mcp-bridge
Enables AI assistants to interact with locally running TradingView Desktop for chart analysis, Pine Script development, and workflow automation via Chrome DevTools Protocol.
Browserless.io headless browser service. It provides a Docker-deployable or cloud-hosted Chrome endpoint with REST and WebSocket APIs for screenshot, PDF, scraping, and Puppeteer/Playwright remote sessions.
Bytebot open-source computer-use agent: a Docker-based Ubuntu desktop with AI-controlled mouse and keyboard; exposes an HTTP API for agents to send click, type, screenshot, and macro commands.
Provides browser automation and semantic search capabilities through Chrome extension integration, enabling intelligent web element interaction, form filling, screenshot capture, and vector-based content indexing with transformer models for cross-platform web automation workflows.
The MCP server tools have been designed to allow an agent to query the specific information it needs to complete an assistant-ui related task - for example: implementing chat components, integrating with different runtimes, understanding component architecture, and troubleshooting issues.
Provides semantic code search and indexing using vector embeddings and AST-based code splitting, enabling natural language queries across codebases with automatic file filtering and support for multiple embedding providers and vector databases.
Integrates terminal and filesystem capabilities for executing system commands, managing processes, and performing advanced file operations on the local system.
Open-source browser API optimised for AI agents. It provides session management, stealth settings, proxy rotation, and a REST/WebSocket interface on top of Chromium for cloud-scale agent browser access.
Provides a secure bridge to your WhatsApp account, enabling message search, contact management, and sending capabilities while keeping all data stored locally on your device.
Enables AI to control Windows desktop applications through UIAutomation and PyAutoGUI, providing capabilities for launching programs, executing commands, and performing mouse/keyboard actions with tree-based UI element identification.
Enables bidirectional communication with Figma designs through a plugin and WebSocket server, allowing creation and manipulation of design elements directly from conversations.