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"MT5 Trading Platform" matching MCP servers:

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    Enables AI assistants to interact with IG Trading API for forex, indices, and commodities trading. Provides 21 tools for account management, position trading, order placement, market data analysis, and watchlist management.
    21
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    6
    MIT
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    Provides AI agents with institutional-grade quantitative finance tools including real-time market data, paper trading via Alpaca, risk analysis with Monte Carlo simulations, backtesting, and multi-source news sentiment analysis for portfolio management and trading strategy development.
    31
    5
    MIT
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    Enables governed, audit-traced AI access to a curated knowledge base through the Model Context Protocol, with OAuth 2.1 authentication and policy enforcement for secure, compliant queries.
    Apache 2.0
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    A powerful AI service platform that provides complete MCP tool calling capabilities and RAG knowledge base functionality, enabling users to connect to multiple MCP servers and perform intelligent document search.
    Apache 2.0
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    A reusable runtime infrastructure for hosting Model Context Protocol servers and tool registries over HTTP. It provides built-in validation, authentication, and logging to simplify the deployment of AI-powered workflows.
    MIT
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    Integrates with Robinhood API and LLMs like Perplexity to provide AI-powered portfolio rebalancing recommendations and trading analytics without executing trades directly.
    58
    Apache 2.0
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    Provides a RAG-based search system for 1C:Enterprise platform documentation using hybrid BM25 and semantic search across multiple versions. It enables developers to retrieve API signatures, methods, and usage examples directly within IDEs or through a REST API.
    22
    MIT
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    High-performance Model Context Protocol server supporting multiple LLM providers (OpenRouter, OpenAI, Groq) with WebSocket API and conversation history persistence.
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    Enables interaction with the Korea Investment & Securities (KIS) Open API for domestic and overseas stock trading, real-time market data, and automated strategy execution. It provides a structured interface for LLMs to perform trading operations, manage portfolios, and conduct backtesting.
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    Serves locally stored knowledge bases (e.g., Trading-Knowledge, Bug-Bounty-Knowledge) to MCP agents, enabling listing, searching, and fetching documents without GitHub authentication.
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    Provides versioned, structured memory for AI agents, allowing them to store facts, detect conflicts, and track knowledge history via a hosted SaaS platform. It enables efficient hierarchical information retrieval and semantic search while keeping token usage constant as memory scales.
    7
    30
    7
    Apache 2.0