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    An MCP (Model Context Protocol) server for handling GitHub URLs with validation and parsing capabilities. This server provides tools to convert between GitHub repository information and URLs, with intelligent validation to distinguish between public repositories, private repositories, and non-exist
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    2
    MIT
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    Enables streamlined academic research and author disambiguation by providing AI agents with optimized access to the OpenAlex.org API. It supports searching for authors, resolving institutional affiliations, and retrieving scholarly works with detailed citation metrics.
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    MIT
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    Enables AI assistants to create, manage, and analyze short URLs through complete URL shortening functionality. Supports batch operations, custom domains, click statistics, and comprehensive link management.
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    MIT
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    The URL-Context-MCP MCP Server provides a tool to analyze and summarize the content of URLs using Google Gemini's URL Context capability via the Gemini API. Now also supports optional grounding with Google Search alongside URL Context. The server is designed to follow prompt-only orchestration: con
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    MIT
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    Enables URL parsing and building from components, plus query string parsing, all without keys or online dependencies.
    12
    MIT
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    A FastAPI-based microservice that analyzes job URLs and extracts detailed company information by crawling job postings and company websites, with data enrichment from external providers.
    2
    MIT
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    Enables creation of shortened URLs using the x.gd URL shortening service through its API.
    12
    MIT
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    Provides URL parsing and analysis tools, including component parsing, deterministic hash generation, heuristic safety checks, and metadata extraction, all without external HTTP requests.
    10
    MIT
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    Enables AI assistants to fetch and analyze web content from URLs through MCP protocol. Supports batch processing, content extraction, summarization, and metadata extraction with intelligent filtering of ads and navigation elements.
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    Resolves any combination of company name, domain, or LinkedIn URL into the canonical company identity (name, domain, LinkedIn URL) with confidence scores and match method.
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    209
    MIT