Playwright MCP server

An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.

A Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.

ModelCostSaver Predict the cost of an LLM call before you make it, and pick the cheapest model that still does the job, offline, from your editor.

Open-source MCP server and PreToolUse hook for Claude Code. Exposes 15 MCP tools that let Claude inspect its own context-hygiene stats mid-session (token waste, duplicate reads, drift, cost forecasts), and caps verbose tool output plus dedups same-session file re-reads to keep context clean. Zero network calls in normal use; all local.

Give your AI assistant eyes and ears — analyze any video, audio, or image, entirely on your machine.

Figviz is an AI-powered diagram generator built for STEM education and visual learning. Describe the diagram you need, choose a subject, grade level, style, or layout, and generate classroom-ready visuals in seconds. https://figviz.com/

Syntitan MCP server — connect Claude and other MCP clients to Syntitan, the AI-Ready Data Platform that fills the missing layer between enterprise data management and AI execution.

A Model Context Protocol Server connector for Perplexity API, to enable web search without leaving the MCP ecosystem.

x402-trust gives AI agents a "check before you pay" layer for the x402 ecosystem.

Browser automation for AI agents: one compact page view, then only what changed, and batched guarded actions. Usually 2 to 3 calls per task instead of a dozen, with far less context. For MCP clients like Claude Desktop. Runs locally; free tier, no card.

MCP server for Juicy Designs, a Pretoria (South Africa) digital marketing and design agency. Agents can submit a free, no-obligation quote request or strategy-session request on a user's behalf, and read curated reference data (services, service areas, track record, reviews, FAQs). Request tools require explicit POPIA consent. No tool returns, calculates or implies a price; a human proposal follows within four working hours.

Serveur MCP donnant accès à l'annuaire public des professionnels de santé (RPPS) et des établissements de santé (FINESS) en France. Recherche de praticiens, fiches détaillées, établissements et spécialités. Données 100 % publiques, mises à jour quotidiennement, sans avis ni classement.

百度地图核心API现已全面兼容MCP协议，是国内首家兼容MCP协议的地图服务商。

GitLab API, enabling project management

Save your AI chat's working state — the decisions, context and plan — and load it in any other model, client or provider. Verified on save, secrets stripped.

Automatically create a remote browser to complete your specified tasks, developed based on Browser Use + Sandbox. 自动创建一个远程浏览器，完成你指定的任务，基于Browser Use + Sandbox开发。

MCP server for interacting with Neon Management API and databases

GBOX provides environments for AI Agents to operate computer and mobile devices. Mobile Scenario: Your agents can use GBOX to develop/test android apps, or run apps on the Android to complete various tasks(mobile automation). Desktop Scenario: Your agents can use GBOX to operate desktop apps such as browser, terminal, VSCode, etc(desktop automation). MCP: You can also plug GBOX MCP to any Agent you like, such as Cursor, Claude Code. These agents will instantly get the ability to operate computer and mobile devices.

Web content fetching and conversion for efficient LLM usage

AI Agent Context Versioning and Synchronization

An MCP server implementation for retrieving information from the AWS Knowledge Base using the Bedrock Agent Runtime.

An MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.

Zhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.

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