"Live Option Recommendations for Trading or Investing" matching MCP servers:

Enables agents to discover and invoke travel recommendations with partner-specific caps and exclusions via MCP JSON-RPC.

Enables AI agents to declaratively control web pages using real mouse and keyboard events via Chrome DevTools Protocol, without executing page JavaScript.

Enables an AI agent to fetch member profiles and generate deterministic, partner-rule-compliant travel recommendations on a multi-tenant white-label platform.

This server integrates with the Ticketmaster API to provide AI agents with real-time concert and event data, enabling dynamic fetching and formatting for ease of interpretation.

Connects local stdio MCP servers to an existing Chrome 144+ session, preserving the user's signed-in sessions, cookies, tabs, and extension environment without launching a second browser. It provides tab control, semantic snapshots, screenshots, pointer, keyboard, form selection, scrolling, navigation, and waiting tools.

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

Exposes Coze workflows as MCP tools, allowing AI clients to discover and execute workflows from a specified Coze workspace. It provides a simple way to integrate external skills into platforms like OpenClaw without needing local environment configurations.

Connects Claude AI to TradingView Desktop for multi-angle market analysis using 10 specialized agents, delivering verdicts, confidence scores, and trade levels for symbols like Nifty 50.

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

A comprehensive Twitch MCP (Model Context Protocol) server providing chat moderation, stream management, and Twitch API integration for AI systems.

A template repository for bootstrapping Model Context Protocol (MCP) servers with WebSocket and SSE support, enabling real-time bidirectional communication and server-to-client streaming in Cloudflare Workers.

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 AI agents to manage live Firefox tabs and native tab groups via MCP tools over stdio, with exact-match verification and safety constraints. It does not read page content or send browser data remotely.

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.

A Model Context Protocol server implementation that enables AI assistants to interact with Slack workspaces, allowing them to browse channels, send messages, reply to threads, add reactions, and retrieve user information.

MCP Server for Google Cloud Healthcare API enables Agentic AI for a variety of FHIR-based digital health solutions, from smarter clinical workflows for Health Systems to Pre-Auth frameworks for Payers!

Merx - TRON Resource Exchange Merx is the first TRON resource exchange that aggregates energy and bandwidth providers into a single MCP server. GitHub: https://github.com/Hovsteder/merx-mcp Hosted SSE: https://merx.exchange/mcp/sse npm: merx-mcp Website: https://merx.exchange Stats * 52 tools, 30 prompts, 21 resources * 7+ energy providers (CatFee, ITRX, PowerSun, Fe

Hey @roocode community! I'm thrilled to share a project born from my work with Roocode and the vision of an AI-powered development team: the Anubis MCP Server! This system is heavily inspired by Roocode and designed to orchestrate an AI development workflow based on agile methodology. It simulates

An MCP server implementation that integrates AI assistants with Langfuse workspaces, allowing models to query LLM metrics by time range.