"Information or resources about fast-filesystem-mcp" matching MCP servers:

Enables low-latency, structured browser automation through a local MCP server, supporting safe navigation, observation, table extraction, and verified clicks on Windows with a dedicated Edge profile.

Turns existing FastAPI routes and custom Python functions into MCP tools, exposing them over ASGI, SSE, or stdio so desktop and chat AI clients can call them with native dependency-injected auth, progressive tool discovery, and self-correcting error responses. It also serves interactive in-chat HTML/JS widgets and a built-in browser inspector for testing tools without external CLIs.

Fast Browser is an MCP server that lets Claude Code and Codex drive an existing Chrome browser with your real profile, logins, and tabs, using a macro library for multi-step flows in single tool calls and supporting concurrent agents with isolated tab groups.

A Model Context Protocol server that provides AI agents with secure access to local filesystem operations, enabling reading, writing, and managing files through a standardized interface.

Connects MCP hosts and LangChain agents to a local WAHA (WhatsApp HTTP API) instance, exposing tools for session management, chats, messages, contacts, and sending text, images, or files. It also provides an operational skill prompt covering lifecycle, chat ID formats, send guardrails, media rules, and error handling.

Enables AI agents and developers to automate real Chrome/Chromium browsers through the Chrome DevTools Protocol, with token-efficient snapshots, multi-action batching, shadow DOM traversal, system-page control, extension management, and network/WebSocket inspection.

Enables AI agents and MCP clients to fetch and crawl webpages, strip noise, and convert them into token-efficient Markdown while preserving links and supporting caching, robots.txt, concurrency, and depth.

Enables token-optimized browser automation with Playwright, featuring batch execution, diff detection, and advanced filtering to reduce token usage by 70-95% while providing LLM-friendly structured accessibility snapshots instead of screenshots.

Fetches webpages and crawls sites locally, stripping noise and converting content into clean, link-preserving Markdown with a minimal token footprint. Supports configurable crawl depth, concurrency, robots.txt compliance, and caching for efficient AI agent and LLM pipelines.

Enables on-demand, verbatim Jev-guided transcript compaction by deciding which tool calls and results can be removed or truncated while preserving retained content exactly.

Enables AI agents and MCP clients to fetch webpages, strip noisy content, and convert them into clean Markdown with link preservation and optional multi-page crawling, using caching and polite rate limiting for efficient scraping.

Enables AI tools to capture fast, fresh screenshots of web pages or specific DOM elements, automatically tiling full pages into 1072x1072 chunks sized for vision models. It also records timed screencasts that can be saved as animated WebP files.

Enables AI vision workflows and coding tools to capture high-quality webpage screenshots, full-page tiled images, specific DOM elements, and timed screencasts, optionally saved as files or animated WebP.

Lets an AI agent drive the Chrome you already have open — with your existing tabs, logins, and IP — through CDP over stdio. Exposes tools for opening background tabs, clicking, typing, running JS, taking snapshots, and issuing raw CDP commands without disrupting the visible tab.

Enables AI coding tools to capture fresh webpage screenshots, including full-page tiled chunks, specific DOM elements, and timed screencasts optimized for vision models.

Enables capturing high-quality webpage screenshots, specific DOM elements, and timed screencasts, with automatic full-page tiling into 1072x1072 chunks and animated WebP export for AI vision workflows.

Enables agents to start and monitor hybrid browser automation tasks, handle approval requests, and approve or cancel them through MCP.

Discover and connect your agents with other agents via A2A protocol. Share resources for free or fee.

Provides AI agents with low-latency reflex tools for fast safety checks, option selection, verification, and scoring using calibrated probabilities, reducing reliance on slow LLM deliberation.

An MCP server that gives AI agents fast access to verified EVM chain information, including RPC URLs, chain IDs, explorers, and native tokens.

Enables local, event-driven messaging between multiple AI coding-agent sessions on the same machine using only Node.js and the filesystem, allowing them to hand off tasks, exchange replies, and broadcast announcements without external infrastructure.

Local inter-agent messaging for AI coding agents via filesystem relay.

Enables AI agents to interact with Kubernetes clusters through progressive disclosure, where agents discover TypeScript modules via filesystem, write and execute code, and receive summarized console output for cluster management tasks.

Classifies message complexity to automatically select the appropriate Claude effort level (fast, think, ultrathink) for efficient reasoning.

Lets a frontier coding agent delegate research, cataloguing, and long-running computation to a local LLM with guarded filesystem, web, and Python execution tools, preserving the agent's context and tokens.

A high-performance browser automation MCP server that provides AI agents with a fast, persistent Chromium instance via Playwright. It features reference-based element interaction, snapshot diffing, and manual handoff capabilities to handle complex tasks like CAPTCHAs.

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.

MCP server that lets any agent or MCP host delegate tasks to the Cursor CLI agent for fast, headless execution. Supports task delegation, project discovery, file analysis, and follow-up sessions.

Lets any MCP agent control your signed-in Chrome with full login state, offering normal browser tools and an optional Fast JEV mode for bounded-speed typed decisions on the same profile.

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.