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"Improving OKR Strategies" matching MCP servers:

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    MCP server that exposes the Backtest360 backtesting engine API as tools, enabling AI agents to conversationally discover indicators, build and validate strategies, run backtests, and read results.
    Last updated
    14
    MIT
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    Provides actionable financial intelligence tools for AI agents including insider buying signals, earnings IV plays, market pulse, stock analysis, and options strategies via free public data sources.
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    6
    MIT
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    A Python MCP server for deterministic fuzzy text matching using RapidFuzz. It enables text normalization, string comparison, best-match ranking, duplicate grouping, and match explanation via configurable profiles and strategies.
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    5
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    An MCP server that exposes the Jesse algorithmic trading framework's capabilities to LLM agents for backtesting, optimization, and risk analysis. It provides 32 specialized tools for managing trading strategies and performing comprehensive market simulations via the Jesse REST API.
    Last updated
    2
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    16
    MIT
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    A stock backtesting engine MCP server that fetches stock data, validates and executes dynamic strategies, and generates backtest results and reports.
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    4
    MIT
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    An MCP server offering six strategies to filter and analyze Chinese convertible bonds, including dual-low, triple-low, YTM ranking, redemption monitoring, and revision analysis.
    Last updated
    3
    MIT
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    This MCP server provides research-backed prompt optimization tools and professional domain templates designed to improve AI performance through strategies like Tree of Thoughts and Medprompt. It enables users to analyze, auto-optimize, and refine prompts using advanced reasoning patterns and safety-critical alignment techniques.
    Last updated
    24
    MIT
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    AMZScout Skill + MCP gives AI agents live access to real Amazon marketplace data across 14 Amazon marketplaces. Analyze any ASIN, validate product ideas, research niches, compare competitors, discover profitable keywords, and build data-driven PPC strategies using trusted Amazon insights instead of AI assumptions. Works with Claude, ChatGPT, Cursor, and any other MCP-compatible AI client.
    Last updated
    MIT
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    Personal investment management advisor that exposes tools for accounts, portfolios, trades, market data, strategies, risk control, and advice, enabling AI agents to analyze and provide structured investment recommendations.
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    MIT
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    Local-first backtesting engine with built-in overfitting detection (PBO, deflated Sharpe, bootstrap CI, walk-forward) and a native MCP server for AI agents to validate trading strategies.
    Last updated
    4
    Apache 2.0
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    An MCP server that lets an AI agent backtest, risk-check, and audit trading strategies, determining if a strategy is overfit or actually works.
    Last updated
    MIT
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    Enables AI assistants like Claude to run backtests, fetch market data, list strategies, and analyze trading algorithms via natural language.
    Last updated
    984
    GPL 3.0
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    Enables simulation and analysis of M/M/1 and M/M/c queuing systems using SimPy, with tools for parameter validation, theoretical metric calculation, simulation execution, and comparison of separate vs pooled queue strategies.
    Last updated
    MIT
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    MCP Server for Indian Options — Real-time option chains, Greeks, 34+ strategies, OI analysis, IV smile, Max Pain. Works with Claude Desktop. Replaces Sensibull.
    Last updated
    24
    8
    MIT
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    Enables NSE stock market research with screening, quotes, peer comparison, watchlists, alerts, and strategies using natural language.
    Last updated