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Creating a server to order medicine from Apollo Clinic using prescription uploads

  • Why this server?

    This server offers web search capabilities, which could be used to find information about Apollo Clinic and medicine ordering processes. It also includes content fetching and parsing, necessary for extracting information from the Apollo Clinic website.

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    A Model Context Protocol (MCP) server that provides web search capabilities through DuckDuckGo, with additional features for content fetching and parsing.
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    26
    Python
    MIT License
    • Apple
  • Why this server?

    Similar to the DuckDuckGo MCP Server, this provides web search functionality which can help in gathering information about Apollo Clinic's services. It also supports detailed webpage analysis.

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    Provides web search functionality via DuckDuckGo for Claude Code and MCP-compatible clients, featuring advanced content exploration, navigation across search results, and detailed webpage analysis.
    1
    Python
    MIT License
  • Why this server?

    Another option for DuckDuckGo integration, ensuring the availability of web search functionality for researching Apollo Clinic.

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    A Model Context Protocol server that provides DuckDuckGo search functionality for Claude, enabling web search capabilities through a clean tool interface with rate limiting support.
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    TypeScript
    MIT License
    • Apple
  • Why this server?

    Although primarily for interacting with AI models, it could be used in conjunction with a custom prompt to interact with external APIs, potentially handling communication with Apollo Clinic's order system if an API is available.

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    Send requests to OpenAI, MistralAI, Anthropic, xAI, or Google AI using MCP protocol via tool or predefined prompts. Vendor API key required
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    31
    Python
    MIT License
    • Apple
  • Why this server?

    This server allows execution of shell commands, which might be necessary for running scripts to automate tasks like interacting with a website or processing uploaded prescriptions.

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    A Model Context Protocol server that allows LLMs to execute shell commands and receive their output in a controlled manner.
    Python
  • Why this server?

    This server provides a lightweight bridge to OpenAI's web search, which could be useful for general information gathering related to the task.

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    A lightweight bridge that wraps OpenAI's built-in tools (like web search and code interpreter) as Model Context Protocol servers, enabling their use with Claude and other MCP-compatible models.
    8
    Python
    MIT License
    • Apple
  • Why this server?

    This tool can download the Apollo Clinic website for offline analysis and information extraction, potentially helping to understand their ordering process.

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    Provides a tool to download entire websites using wget. It preserves the website structure and converts links to work locally.
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    40
    JavaScript
    • Apple
    • Linux
  • Why this server?

    Provides web fetching capabilities without API keys, which could be beneficial if direct API access to Apollo Clinic is unavailable, allowing the extraction of webpage content.

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    A headless browser MCP server that allows AI agents to fetch web content and perform Google searches without API keys, supporting various output formats like Markdown, JSON, HTML, and text.
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    4
    TypeScript
    MIT License
  • Why this server?

    Enables browser automation and computer vision, valuable for interacting with web elements and verifying prescription details from attached images.

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    Enables browser automation and real-time computer vision tasks through AI-driven commands, offering zero-cost digital navigation and interaction for enhanced web experiences.
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    1
    JavaScript
    MIT License
  • Why this server?

    Facilitates automated web browsing and form filling, allowing interaction with Apollo Clinic's website to automate ordering processes if direct API access is unavailable.

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    Enables AI agents to interact with web browsers using natural language, featuring automated browsing, form filling, vision-based element detection, and structured JSON responses for systematic browser control.
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    34
    Python
    • Linux
    • Apple