"MetaTrader 5 (MT5) Trading Platform Information" matching MCP servers:

Enables LLM agents to compile, deploy, backtest, and analyze MetaTrader 4/5 MQL sources without touching the MetaTrader UI, leveraging the build pipeline.

Enables AI assistants to interact with the MetaTrader 5 trading platform through natural language, including retrieving market data and account information and placing, modifying, or closing orders.

Enables AI assistants to trade on MetaTrader 5 using natural language, supporting account management, order placement, and real-time market data.

Enables interaction with MetaTrader 5 for market data, technical analysis, Fibonacci calculations, and trading via MCP clients such as Claude.

A cross-platform integration server that enables interaction with the MetaTrader 4 trading platform for account management, market data retrieval, and order execution. It facilitates remote Expert Advisor development, compilation, and backtesting through an HTTP bridge and specialized MQL4 scripts.

Provides AI agents with real-time financial market intelligence including regime detection, adaptive signals, macro context chains, and cross-market analysis for crypto, US, and Korean stocks.

Provides foundational trading utilities by fetching market data through Akshare and computing technical indicators like RSI and MACD using TA-Lib. It enables users to retrieve candlestick data and technical analysis series via a standardized MCP interface.

Enables AI assistants to interact with the Open Targets Platform API to search and retrieve comprehensive data about target-disease associations, drugs, genes, and drug discovery information through GraphQL queries.

Prediction-market intelligence and crypto paper trading for AI agents. Explore data across 12 venues with 38 MCP tools, including 11 keyless tools on the hosted endpoint. Compare markets, track whales and discover crypto movers. Add a CoinRithm API key for simulated spot, futures and prediction-market trading, portfolio tracking and execution exports.

Enables AI clients to call the documented APIs of real business platforms—job boards, freelance marketplaces, ad networks, e-commerce, messaging, social, sales, trading and market data—through a single CLI and runtime. Serves 455 catalogued platforms with one shared verb vocabulary per category, in both Python and TypeScript.

Perpetual futures trading API for AI agents. Access 275+ markets (crypto, stocks, commodities, forex) via Hyperliquid. Copy trading, leaderboard, up to 50x leverage. No KYC. 20% referral commissions.

Enables querying SEC EDGAR for Form 4 insider trades, 8-K material events, and Schedule 13D/G ownership filings for US-listed companies, with ticker, company name, or CIK lookup.

A self-hosted platform that aggregates upstream MCP servers, OpenAPI imports, and remote device connectors behind a single endpoint per profile, with per-agent scoped authorization, tool/prompt/resource catalogs, and approval-based temporary permissions. It also lets administrators distribute skills and connectors to paired devices and export client configurations.

A shared communication bus for multiple agents using NATS and MCP, enabling MCP clients to list, message, and query agents.

An MCP server that gives Claude the ability to analyze trading setups across IDX, Forex, and Crypto markets without executing trades.

The Problem Modern distributed systems and AI agents require robust operational scaffolding. Simple CRUD apps or mock loops fail when subjected to real-world edge cases, asynchronous boundaries, and security constraints. The Solution An isolated execution platform for AI agents. An agent is given a broken service and a bounded toolset inside a disposable sandbox. Every command passes throug

Lets your coding agent talk to the RunWhen platform — workspace chat, issues, SLXs, run sessions, and the Tool Builder — over the Model Context Protocol. Enables workspace chat with AI assistant, task authoring via Tool Builder, and direct data access to workspaces, issues, SLXs, run sessions, and more.

Enables MCP hosts like ChatGPT and Claude to query data platform metadata, explore schemas and tables, inspect SQL explain plans, and monitor DAG and ETL status through standardized tools.

Helps migrate projects from AI SDK 4.x to 5.0 by generating a migration checklist and searching the official migration guide for code and data changes.

Enables authenticated users to manage paper-trading accounts, place and cancel orders with simulated fills, view positions and P&L, search instruments, fetch bars, and run quant-strategy lifecycles over stdio or streamable HTTP.

Provides real-time stock data, technical indicators, and market analysis via MCP protocol to enable AI-driven quantitative trading.

Enables retrieval-augmented question answering with source-grounded citations, document retrieval, and idempotent ingestion through MCP tools.

Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.

Enables GPT-5 inference via OpenAI API with configurable reasoning effort, verbosity levels, and optional web search integration. Supports per-call parameter overrides for flexible AI model interactions through MCP.

MCP server for integrating manufacturing systems (MES/ERP/quality/maintenance) with LLM agents, enabling event ingestion, incident triage, approval workflows, and RAG-based knowledge retrieval.

Connects AI assistants to your Argo campaigns via the Model Context Protocol. Once configured, your AI assistant can read and write campaign lore, look up character details, and interact with Argo data directly from the chat interface.

Enables MCP clients like Claude Desktop to drive order, inventory, and billing operations through the same human-approval-gated tools and risk policy as the platform's LangChain agents.

A scalable execution platform that enables users to interact with HR, ERP, and DevOps domains through a chat interface powered by LlamaIndex and the Model Context Protocol. It provides a configuration-driven architecture for orchestrating LLM-suggested actions with authoritative tool execution and domain isolation.

Enables AI agents to answer Power Platform governance questions — data policies, connectors, environments, Managed Environments, security roles, the CoE Starter Kit and ALM — using hybrid keyword-plus-semantic search over Microsoft's documentation, with a deep link to the exact section behind every answer. It runs locally without API keys, offers read-only search, section-reading and document-listing tools, and connects to Claude, VS Code and Copilot Studio.

Enables authenticated agents to discover and invoke trading tools, manage resources and prompts, and place real equity, option, or crypto orders through a Robinhood Agentic Account.