"smart" matching MCP servers:

Token-efficient browser automation for AI agents, filtering the DOM to only interactive elements and grouping them by page section, reducing token usage by 3-13x compared to Playwright MCP.

Reduces token consumption for AI coding agents by 50-70% through intelligent code context filtering, Git delta tracking, and local SQLite/Tree-sitter indexing.

Federating gateway for AI agents to discover and call tools from multiple MCP servers with intelligent search and dynamic tool registration.

A server that enables control of smart home devices through the Jenius AI agent system, connecting to Home Assistant to manage devices like Xiaomi air purifiers and smart speakers.

Enables control of TP-Link Kasa smart home devices through natural language commands. Supports device control, lighting scenes, room-based organization, and real-time status monitoring for smart plugs and bulbs.

A comprehensive server that enables AI agents to interact with multiple EVM-compatible blockchain networks through a unified interface, supporting ENS resolution, token operations, and smart contract interactions.

Enable AI agents to work reliably - giving them secure access to structured data, tools to take action, and the context needed to make smart decisions.

MCP server for OpenClaw that enables AI clients to control smart home devices, manage memory and cron jobs, and orchestrate multiple AI sub-agents.

Provides tools for AI assistants to interact with smart home devices through Home Assistant, allowing operations like checking entity states and calling services.

A build accelerator for AI coding assistants that scaffolds complete projects from short prompts using Smart Context Mode to reduce token usage.

An AI router that connects applications to multiple LLM providers (OpenAI, Anthropic, Google, DeepSeek, Ollama, etc.) with smart model orchestration capabilities, enabling dynamic switching between models for different reasoning tasks.

Enables AI agents to create and manage video compilations through n8n workflows with smart query optimization, quality analysis, batch processing, and trusted channel filtering for platforms like YouTube.

Provides cost intelligence and a reputation scoring system to help AI agents optimize spending through smart model selection and local-to-cloud routing. It enables real-time cost tracking and rewards agents for making efficient, high-credibility decisions across various LLM providers.

Smart AI workflow for Cursor teams with intelligent prompt routing, real-time cost optimization, and team analytics.

Centralizes management and routing of multiple MCP servers, exposing them to AI clients via HTTP/SSE endpoints with configurable visibility, sharing, and smart routing.

Enables AI-powered multi-provider routing and chat through an MCP interface, with smart fallback, persistent sessions, and learning from historical performance.

A smart bridge that aggregates multiple MCP servers under a single interface, providing relevance filtering and optional caching for efficient tool selection and execution.

Optimizes browser automation for AI agents by reducing token usage and latency through smart element extraction and caching.

Enables autonomous multi-step web navigation and interaction through condensed ARIA snapshots, fast local reflex decisions, and selective LLM escalation. Exposes browser automation capabilities such as browsing, snapshot extraction, and atomic smart actions over the Model Context Protocol.

A Model Context Protocol server that enables AI assistants to control Philips Hue smart lighting systems through natural language commands.