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    Fetches a URL and returns the main content as clean Markdown, using plain HTTP when possible and headless Chromium for JavaScript-rendered or bot-protected pages.
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    18 PyPI
    MIT
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    Model Context Protocol server for Kylas CRM lead operations, enabling lead creation, search/filter, and lookup of users, products, and pipelines.
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    MIT
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    Enables AI agents to query and browse Norton Guide database files, providing tools for reading entries, searching, and navigating menus.
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    GPL 3.0
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    Enables AI-assisted X++ development for Dynamics 365 Finance and Operations by pre-indexing the entire codebase and providing 54 specialized tools for metadata lookup, code generation, and best practice validation.
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    114 npm
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    MIT
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    MCP server for managing multiple SSH servers via AI assistants, offering tools for remote command execution, file operations, and system monitoring.
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    12 PyPI
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    MIT
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    Provides deterministic parental guidance for children with chronic kidney disease, including food safety checks, lab report interpretation, and nutrient-aware food substitutions based on authoritative guidelines and the Chinese Food Composition Table.
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    MIT
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    MCP server exposing Prowlarr's API v1 as tools for managing indexers, applications, download clients, and more, including cross-indexer searches and system commands.
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    MIT
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    Converts natural language queries into valid GraphQL queries and executes them against GraphQL APIs. Includes schema introspection, query validation, execution with authentication, and query history tracking.
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    Provides read-only access to Yeastar P-Series PBX System APIs, enabling querying of extensions, groups, trunks, routes, IVR menus, ring groups, queues, live call and agent status, contacts, call detail records, reports, and system metadata for AI assistants.
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    Enables AI assistants to perform controlled Linux system administration tasks like reading logs, managing services, cron jobs, WordPress, and executing sandboxed Python code, with strict security constraints.
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    GPL 2.0
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    It enables AI agents to recover from failures by diagnosing issues, refocusing broad tasks, restoring session context, and managing retries safely with bounded memory and credential redaction.
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    MIT