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    Enables comprehensive content management through Markdown processing, HTML rendering, intelligent fuzzy search, and document analysis. Supports frontmatter parsing, tag-based filtering, table of contents generation, and directory statistics for efficient content organization and discovery.
    10 npm
    4
    MIT
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    Read-only MCP server for a content contract layer: protocol, modules, pipelines, assets, library. 一句话 / One-liner(ZH):给任何 AI agent 一个可校验的内容规范与资产底座——先查契约,再落笔。 描述 / Description:只读 MCP 服务器:把长内容的验收标准(协议 / 模块 / 管线 / 资产 / 馆藏)变成 agent 可调用的检索与取件工具面。10 个只读工具 + 1 个 prompt(assemble_guide);支持 modern 2026-07-28 与 legacy 2025-11-25 双协议;零第三方依赖(Python 标准库);无写路径。 仓库 / Repo:https://github.com/Monyeah777/NinFenz 站点
    12
    2
    MIT
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    Enables comprehensive content analysis through web scraping, document processing (PDF, DOCX, TXT, RTF), screenshot analysis, and local Excel database management. Provides intelligent workflows for extracting, analyzing, and storing content from multiple sources with automated categorization and search capabilities.
    2 npm
    ISC
  • A
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    DocPull v6 is a local-first MCP server that turns public web sources into cited, versioned context packs for AI agents, RAG systems, and developer workflows. It can fetch and sync public static and server-rendered sources such as changelogs, standards, API references, OpenAPI specs, feeds, repo/package metadata, papers, filings, pricing pages, blogs, and other web sources.
    156 PyPI
    28
    MIT
  • A
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    MCP server for Apple HIG compliance auditing, providing tools to list skills, search/lookup HIG references, audit files/projects, and explain findings.
    145
    MIT
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    Provides AI assistants with direct access to Jamf official documentation, enabling them to answer Jamf-related questions by searching, retrieving articles, and browsing product documentation.
    6
    1,458 npm
    5
    MIT
  • A
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    Enables AI models to access and search offline Wikipedia and other knowledge bases stored in ZIM format files. Provides intelligent content retrieval, structured browsing, advanced search capabilities, and metadata extraction for comprehensive offline knowledge access.
    8
    384 PyPI
    145
    MIT
  • A
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    maintenance
    An MCP server for local PDF inspection that classifies, searches, extracts text and tables without uploading documents or relying on OCR, surfacing reliability warnings for garbled or scanned content.
    4
    16 npm
    MIT
  • F
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    Enables read-only scanning and text extraction from PDF, DOCX, PPTX, SVG, and PNG files in a local folder, providing the raw text to AI models for summarization or analysis without an external LLM API.
    5
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  • F
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    Enables natural-language queries across Actian product documentation, GA4 content analytics, and Jenkins CI build status.
    5
    1
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    Enables searching and retrieving documentation content from SaaSus Platform through MCP-compatible clients like Claude Desktop and Cursor. Provides tools to search for relevant articles, get full content from specific URLs, and access the complete sitemap of SaaSus documentation.
    3
    1
    ISC
  • A
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    Enables LLMs to chat with long PDFs using a reasoning-based, tree-structured document index that navigates content like a human would, without requiring vector databases or hitting context limits.
    9
    35 npm
    402
    MIT