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    AI-powered threat verification across 6 channels: phone numbers, URLs, text messages, emails, documents, and QR codes. Analyzes threats against 10M+ intelligence records from FTC, FCC, URLhaus, ThreatFox, and community reports, returning risk scores, verdicts, and detailed signals.
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    MIT
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    Provides instant access to EMC emission limits, frequency allocations, restricted bands, and compliance requirements including FCC Part 15, CISPR standards, LTE/5G cellular bands, and ISM equipment regulations for engineering compliance queries.
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    AGPL 3.0
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    Enables AI assistants to search and analyze Swedish real estate data from Booli.se using natural language queries. Supports property searches with comprehensive filtering options and location discovery through GraphQL API integration.
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    A unified Open Source Intelligence toolkit that integrates data sources like Censys, Shodan, and LinkedIn for comprehensive infrastructure and identity research. It enables users to perform automated email verification, vulnerability scanning, and person or company enrichment directly through Claude.
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    A comprehensive MCP server that aggregates email, calendar, and contacts across Google, Microsoft, Zoho, and IMAP/SMTP services, designed for headless environments with OAuth device flow support.
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    AI soigneur for cyclists: turns your Strava ride into an Ien-Vitse-validated nutrition plan (carbs/hour, hydration, timing) and assembles a ready-to-order musette. Works alongside the Strava MCP in Claude and ChatGPT.
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    MIT
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    Analyzes project dependencies and recommends relevant skills, plugins, and MCP servers for Claude Code, enabling users to discover and install optimal tools.
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    MIT
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    Bridges AI assistants to Autodesk ShotGrid (Flow Production Tracking) data, enabling CRUD, search, batch operations, and schema exploration via typed MCP tools with progressive loading.
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    MIT
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    A read-only MCP server for Cisco Firepower Management Center (FMC) 7.4.x, allowing LLMs to query firewall configuration, search network objects, and check deployment status through natural language.
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    Apache 2.0
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    Provides tools to search and retrieve USDA Food Data Central information, including food items, nutrients, and food groups, enabling AI agents to query food data through natural language.
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    MIT
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    Enables AI assistants to interact with Autodesk Construction Cloud (ACC) projects through natural language, allowing users to query project data, manage issues and RFIs, browse files, and automate construction workflows directly from their development environment.
    Last updated
    MIT