"Information about MetaTrader 5 (MT5) platform" 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.

Model Context Protocol server for the MetaTrader 4/5 build pipeline, enabling LLM-driven compilation, deployment, backtesting, and log tailing without UI interaction.

MCP server for MT5 strategy development on macOS/Linux with 89 tools to compile, backtest, analyze, optimize, debug crashes, and manage MQL5 Expert Advisors — no Windows required.

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.

Enables compiling, backtesting, optimizing, and crash-debugging MetaTrader 5 Expert Advisors natively on Windows, backed by SQLite report organization and deal-level analytics across 19 dimensions. Also supports Market Watch symbol resolution and generation of validated economic-calendar datasets for the Strategy Tester, all through 96 MCP tools requiring no Wine, WSL, or runtime GUI automation.

Score your agent's governance (0-100), lint MCP tool definitions, and estimate costs across all major models. Free diagnostic tools with no API key needed. Expert skill files on governance, economics, and system architecture available with free tier.

Enables AI agents to interact with ServiceNow through MCP, providing schema inspection, record CRUD, attachments, audit, Flow Designer, and platform investigations with policy-guarded access.

Analyzes codebases for cross-platform compatibility issues, detecting platform-specific APIs, file path problems, line ending inconsistencies, and shell command incompatibilities across Windows, macOS, and Linux.

Enables IDE plugins to authenticate and communicate with the YAAIF platform via MCP, bridging Cursor, VS Code, IntelliJ, Claude Code, Codex, and OpenCode.

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 local-first MCP server that bridges AI coding agents with MetaTrader 5 for inspection, market data, MQL5 development, compiling, Strategy Tester review, workspace sync, logs, audit trails, demo trading, and carefully gated live trading.

Enables running a local multi-agent pipeline that turns a product idea into a validated technical spec, with tools to generate, deterministically check, LLM-review, and retrieve stored runs.

Enables platform engineering workflows via GitHub Copilot, including creating repositories from templates and provisioning Azure deployment environments.

Enables interaction with Mia-Platform Console through the Model Context Protocol, supporting machine-to-machine authentication and personal credentials for managing resources.

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.

Official MCP Server for GPT-5.6 Sol Coding & Reasoning API. Connects extended reasoning capabilities directly into Claude Desktop, Cursor, and Windsurf.

Enables users to look up, search and compare the listing and submission requirements that Claude, ChatGPT, Cursor and the Official MCP Registry impose on connectors and plugins. Every answer comes from a bundled, read-only dataset and carries source citations, an evidence label and the date the requirement was last verified.

Enables AI agents to interact with 1C: Enterprise development environment, including running tests, managing launch profiles, building configurations, and performing database operations through the 1C: Platform Tools extension.

A framework for building MCP servers with built-in enterprise capabilities such as authentication, authorization, telemetry, audit logging, and data classification, allowing domain developers to focus on business logic while maintaining governance and compliance.

Enables AI assistants to query and manage Flowcore resources through a structured API.