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"Roadmap for Creating AI-Driven Workflows for Literature Data Management" matching MCP servers:

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    Provides comprehensive data for A-shares, Hong Kong, and US stocks alongside cryptocurrency markets, supporting technical indicators, news, and financial statements. It features automatic failover across multiple data sources to ensure reliable access to real-time and historical market information.
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    MIT
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    Enables detection of AI-generated content from ChatGPT, GPT-4, and Gemini models through the BACH AI Content Detector API.
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    MIT
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    Enables AI assistants to query KumoRFM for predictive analytics on relational data, including graph management, natural language to PQL conversion, and training-free predictions.
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    MIT
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    PhysBound is a specialized "Physics Linter" for AI that deterministically validates RF and thermodynamic claims against hard physical limits, preventing hallucinations in engineering workflows.
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    MIT
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    Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.
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    Apache 2.0
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    Enables management of Kylas CRM lead operations, including creating leads, searching and filtering records, and resolving user, product, or pipeline IDs. It provides specialized tools for monitoring idle leads and accessing lead schema instructions through natural language.
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    MIT
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    Enables bidirectional communication between MCP clients and Slack, allowing users to receive task notifications and respond to AI inquiries directly within Slack threads. It supports various urgency levels, message threading, and interactive question-and-answer workflows.
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    MIT
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    MCP server for the eToro public API, providing read and write tools for market data, account management, trading, watchlists, alerts, and social feeds.
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    Enables comprehensive threat analysis for Indicators of Compromise (IoCs) including IP addresses, file hashes, domains, and URLs. It provides detailed reputation scores, security vendor evaluations, and network metadata to facilitate security assessments and risk detection.
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    MIT
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    Enables human-in-the-loop interaction for AI coding workflows through native desktop dialogs that present route choices, text input, and image annotation capabilities when AI assistants encounter decision points.
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    Enables management of Bitbucket Cloud pull requests through natural language, including creating, reviewing, approving, and commenting on PRs with automatic default reviewer support.
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    MIT