"Information about modal concepts or elements" matching MCP servers:

An MCP server that enables AI agents to interact with Modal, allowing them to deploy apps and run functions in a serverless cloud environment.

Enables MCP-aware agents to drive Modal serverless compute, including GPU workers and headless Chromium for web browsing with screenshots.

Enables AI coding assistants to drive a real, persistent browser session through tools for goal-driven browsing, numbered screenshots and element lists, clicking, typing, selecting, scrolling, history navigation and setup checks. Each action is chosen by a cheap decision model, with a vision LLM stepping in only when that model is unsure.

Reachability-filtered browser perception and actions for AI agents. Filters snapshots to elements a user could actually reach (removes modal-occluded, closed-drawer, off-screen and inert elements), with ref-stable snapshots and state diffs.

A bridge that connects the Model Context Protocol to the Gemini CLI via the Agent Client Protocol (ACP) for high-performance, stateful AI interactions. It enables MCP clients to leverage Gemini's autonomous capabilities, including multi-modal support and built-in tool execution, without cold-start overhead.

A multi-modal user intent collection MCP server that allows AI agents to ask users questions and receive text/image replies.

Just to be clear about the final JSON: the MCP server is named herdr-inbox, and it enables Claude Code agents in herdr to ask questions asynchronously without stalling, with all open questions answered from one popup and answers routed back to the asking agent.

Extracts and transforms webpage content into clean, LLM-optimized Markdown. Returns article title, main content, excerpt, byline and site name. Uses Mozilla's Readability algorithm to remove ads, navigation, footers and non-essential elements while preserving the core content structure.

Provides AI assistants with real-time access to the AGNO framework documentation by enabling them to browse, search, and fetch documentation pages. This server allows users to query information about AGNO's Agents, Teams, and Workflows directly through MCP-compatible clients.

Enables an AI agent to collaborate with a user in real-time on a web page, receiving selected elements and notes along with page context (selectors, styles, screenshots, console errors) and sending progress/completion signals back, with configurable refresh strategies (reload, event, or none).

Enables selecting a saved Codex or Claude Code session from the same PC and importing its recent context into the other tool, so work can continue across clients with source and omission information.

Enables coding agents to drive a real, indexed Chrome browser over MCP stdio, navigating pages, observing numbered interactive elements, and performing click, type, and select actions without the server itself calling any model.

Allows AI to interact with Autodesk Revit via the MCP protocol, enabling retrieval of project data and automation of tasks like creating, modifying, and deleting elements.

Enables agents to crawl and read websites politely, learning per host which reader, URL rewrite, or detail path actually reaches good information, and reusing those wins across runs or a shared database. Failures come back as coded errors with concrete next steps, so blocked or empty pages point to an honest alternative instead of endless retries.

A persistent memory implementation using a local knowledge graph that lets Claude remember information about users across conversations.

A browser automation agent that enables Claude to interact with web browsers through the Model Context Protocol, allowing for actions like navigating websites, manipulating elements, and managing browser state.

The AgentOps MCP server provides access to observability and tracing data for debugging complex AI agent runs. This adds crucial context about where the AI agent succeeds or fails.

Enables Claude Code and Gemini CLI to see your macOS screen, answering questions about the file, error, UI, database table, or web page you're looking at. Captures screenshots, reads database schemas, and controls Chrome/Brave, presenting answers as on-screen highlights or spoken bubbles above your cursor.

Enables coding agents to discover live visual design references, inspect original sites as MCP images, analyze elements and motion, and verify implementation constraints during an original design workflow.

Enables agents to submit precise visual directions by selecting interface elements, delivering versioned intent envelopes for human-verified changes.