"A bot for cryptocurrency trading" matching MCP servers:

Enables AI agents to drive real Google Chrome with stealth and captcha handling, using Patchright to avoid bot detection.

前端ai主导的全流程，自动化的预开发；旨在解决前端开发在联调前期的各种繁琐工作

Enables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.

Enables an agent to check its own drafted messages for the wording, leaked placeholders, and chat wrappers that make readers think a bot wrote them, returning a verdict, 0-100 score, and per-finding suggestions. It also applies the safe fixes that need no judgement and reports what still requires a human or model rewrite before anything is sent.

A modular quantitative trading assistant that integrates with XTQuant/QMT trading platform, enabling AI-assisted trading strategy generation, real-time trade execution, and performance backtesting.

基于MCP架构的微信公众号文章爬虫系统，支持AI智能体通过Selenium自动抓取微信公众号文章内容和图片，实现文章内容的智能分析。

Enables real-time user intervention for MCP agents through a web UI, allowing users to review context and provide feedback when AI agents drift from intent, keeping them on track.

Enables Claude to fetch web pages from the user's own local network connection instead of AI datacenter IPs, including optional authenticated sessions, with verdicts for bot challenges, login walls, and other failures.

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

Multi-agent swarm orchestrator for AI workflows. Exposes blackboard read/write, agent dispatch, permission gating (AuthGuardian), token budget enforcement (FederatedBudget), and audit log tools over MCP. Supports 14 AI framework adapters including LangChain, AutoGen, CrewAI, Codex, and A2A — mix any frameworks in one swarm with race-condition-safe shared state.(Traffic light for agents)

Enables AI agents to create cryptocurrency payments, check payment status, generate QR codes, and manage transactions through Bitnovo Pay API integration with automatic webhook support.

Isolated, long-lived Chrome sessions for AI agents over MCP — full console + network capture, anti-bot stealth, and human login takeover.

AgentPay — x402 crypto data gateway on Stellar. 10 live pay-per-call tools: token prices, whale activity, gas tracker, DeFi TVL, Fear & Greed, Dune queries, token security. Agents pay USDC on Stellar. No API keys. Budget-aware sessions.

Enables any MCP client such as Cursor, Claude Code, or Codex to dispatch tasks to a Cursor Grok Bot running on its cloud computer, poll for its replies, and interrupt an in-progress run. It also lists the bots available for contact, without routing replies through an extra model.

tradefloor generates simulated stock markets for testing trading strategies and AI agents. This local MCP server lets an assistant evaluate and rank strategies across many reproducible markets, run stress scenarios such as a rate shock or a recession, and explain why a

Enables AI agents to open, read, and act on live web pages through verified browser actions, including filling forms, extracting data, debugging pages, and handling bot walls.

Enables AI agents to trade forex, metals, indices, and cryptocurrencies via the Model Context Protocol using the XBTFX Trading API. It provides comprehensive tools for managing account balances, retrieving market data, and executing trade operations like opening, modifying, or closing positions.

Enables collaboration across Claude, GPT, and Gemini through a unified MCP interface, with configurable execution policies for synthesizing or directly delivering worker outputs.

Enables a host AI agent to trigger a multi-agent debate, running N-rounds where agents critique each other's answers, then synthesizes a consensus recommendation with ranked options.

A Model Context Protocol (MCP) server that provides intelligent search capabilities for discovering relevant Claude Agent Skills using vector embeddings and semantic similarity. This server implements the same progressive disclosure architecture that Anthropic describes in their Agent Skills enginee