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Information about Auto Perplexity

  • Why this server?

    Mentions Perplexity AI integration for documentation automation.

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    Automates the creation of standardized documentation by extracting information from source files and applying templates, with integration capabilities for GitHub, Google Drive, and Perplexity AI.
    3
    TypeScript
    MIT License
    • Apple
  • Why this server?

    Provides web search capabilities using SearXNG, a privacy-respecting metasearch engine, which can enhance Perplexity's functionality.

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    A Model Context Protocol server that enables AI assistants to perform web searches using SearXNG, a privacy-respecting metasearch engine.
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    JavaScript
    MIT License
    • Linux
    • Apple
  • Why this server?

    Provides a standardized way to integrate Perplexity AI's features like chat, search, and documentation access into MCP-based systems.

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    Provides a standardized way to integrate Perplexity AI's features like chat, search, and documentation access into MCP-based systems.
    5
    JavaScript
  • Why this server?

    Allows the use of Kagi's API for web searching and content enrichment, which is an alternative to Perplexity.

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    Allows the use of Kagi's API for web searching and content enrichment through methods like fastgpt, enrich/web, and enrich/news.
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    Python
    MIT License
    • Apple
  • Why this server?

    An advanced integration package that leverages OpenRouter and Perplexity APIs to provide enhanced web search capabilities.

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    An advanced integration package that leverages OpenRouter and Perplexity APIs to provide enhanced web search capabilities, offering both simple and complex query processing with file attachment support.
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    Python
    • Linux
    • Apple
  • Why this server?

    Uses Cloudflare Browser Rendering to extract and process web content for use as context in LLMs, a task that Perplexity also performs.

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    A server that leverages Cloudflare Browser Rendering to extract and process web content for use as context in LLMs, offering tools for fetching pages, searching documentation, extracting structured content, and summarizing content.
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    TypeScript
    MIT License
    • Apple
  • Why this server?

    Database access using different databases, and used to query and summarize notes in a variety of ways that may also be present in other searches and may be benificial.

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    MCP-Server from your Database optimized for LLMs and AI-Agents. Supports PostgreSQL, MySQL, ClickHouse, Snowflake, MSSQL, BigQuery, Oracle Database, SQLite, ElasticSearch, DuckDB
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    Apache 2.0
    • Linux
  • Why this server?

    Helps users conduct comprehensive research on complex topics by exploring questions in depth, finding relevant sources, and generating structured, well-cited research reports.

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    A tool that helps users conduct comprehensive research on complex topics by exploring questions in depth, finding relevant sources, and generating structured, well-cited research reports.
    9
    Python
    MIT License
    • Apple
  • Why this server?

    Retrieves results from the Wikipedia search engine, that are related to Perplexity

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    A MCP server that allows you to search and retrieve content on any wiki site using MediaWiki with LLMs 🤖. wikipedia.org, fandom.com, wiki.gg and more sites using Mediawiki are supported!
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    Python
  • Why this server?

    Unifies access to multiple search engines and AI tools, offering comprehensive search and content processing capabilities.

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    🔍 A Model Context Protocol (MCP) server providing unified access to multiple search engines (Tavily, Brave, Kagi), AI tools (Perplexity, FastGPT), and content processing services (Jina AI, Kagi). Combines search, AI responses, content processing, and enhancement features through a single interface.
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    TypeScript
    MIT License
    • Linux