"MTA" matching MCP servers:

MCP server for AI agents to inspect and trade against a MetaTrader 4 terminal, with an offline mock mode for CI and demos.

Enables read and execution access to multiple MetaTrader 5 accounts, allowing an AI assistant to manage positions, P&L, prices, indicators, history, logs, and trades across accounts.

An MCP server that lets an AI agent read your MetaTrader 5 account and place trades over the Model Context Protocol, with a configurable human approval gate.

Enables AI models to dynamically create and execute their own custom tools through a meta-function architecture, supporting JavaScript, Python, and Shell runtimes with sandboxed security and human approval flows.

Enables AI assistants to interact with MetaTrader 5 for market data, indicators, order placement, position management, and risk-based lot sizing, with dry-run safety on by default.

A server that transforms a standard Language Model into a dynamic multi-agent system where the model simulates both a Conductor (project manager) and Experts (specialized agents) to tackle complex problems through a collaborative workflow.

A sample implementation of a Model Context Protocol server using Next.js and the Vercel MCP Adapter, allowing developers to create AI assistants with custom tools and resources.

popmely is a production-grade MCP server bridging MetaTrader 5 with LLMs. It enables AI-driven trading through real-time market data, SMC analysis, backtesting, autonomous order execution, and risk management.

Detects financial fraud and AI agent transaction risks using machine learning, behavioral biometrics, network graph analysis, and agent-to-agent protection.

An MCP server that allows agents to trade through MetaTrader 5 by computing position sizing from account balance, stop loss distance, and risk percent, enabling natural language order placement and portfolio management.

A Telegram-integrated MCP server that enables remote control of Claude sessions through a Telegram bot, including chat, tool approvals, task tracking, and workspace management. It provides a MiniApp interface for real-time monitoring and control of Claude's activities from mobile devices.

A searchable long-term memory server for AI agents using BM25 indexing over document chunks, enabling durable recall across sessions without cloud dependencies.

Enables control of mobile games via MaaFramework, supporting screenshot, click, swipe, and task execution through MCP protocol.

Enables users to leverage a mixture-of-agents architecture where multiple AI models discuss a question in parallel and a president model synthesizes the best answer.

Enables multiple Claude Code sessions to communicate, share state, and coordinate tasks through session management, message passing, and task scheduling, supporting a three-role collaboration workflow.

Provides persistent, causal memory for AI agents with semantic recall, causal tracking, and importance-based forgetting through MCP tools.