Skip to main content
Glama
zlatanpham

iReader MCP

by zlatanpham
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Remote

Related Servers

Alternatives to iReader MCP

No user-submitted related servers found.

    Related Servers

    • Fetch MCP Server

      aglolz
      A
      license
      B
      quality
      D
      maintenance
      Enables LLMs to retrieve and process web content by fetching URLs and converting HTML to markdown format. Supports chunked reading of large pages and can access both public websites and local networks.
      1
      MIT

    • Recast MCP

      DrewDawson2027
      F
      license
      Not graded
      quality
      Not graded
      maintenance
      Enables AI assistants to fetch clean text from any URL and repurpose it into platform-ready social media content for LinkedIn, Twitter, Reddit, and newsletters. It provides specialized tools for content extraction and structured prompt templates for various formats and tones.
      16 npm
      -

    • MCP Web Search

      jsitla
      F
      license
      Not graded
      quality
      D
      maintenance
      Provides 19 tools for web search, content fetching, and extraction, including DuckDuckGo search, YouTube transcripts, and webpage screenshots.
      1
      -

    • ORZ MCP

      sunwu51
      F
      license
      A
      quality
      D
      maintenance
      Provides web search capabilities across multiple engines and webpage content fetching to simplified Markdown. It enables AI assistants to access real-time internet information and extract text from specific URLs.
      2
      13
      -
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.5/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose targeting a specific content source and format: PDF extraction, Google Doc fetching, tweet thread retrieval, webpage content via Jina Reader, and YouTube transcript fetching. There is no overlap in functionality, and an agent can easily distinguish between them based on the source type and output format.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with 'get_' as the prefix, followed by a descriptive noun phrase (e.g., get_pdf, get_public_google_doc_markdown). This uniformity makes the tool set predictable and easy to understand, with no deviations in naming style.

    Tool Count5/5

    With 5 tools, the server is well-scoped for its purpose of content extraction from various sources. Each tool serves a distinct and necessary function, covering key content types (PDF, Google Docs, tweets, webpages, YouTube) without being overly broad or sparse, fitting typically within the 3-15 tool range for such a domain.

    Completeness4/5

    The tool set covers a broad range of common content sources (PDF, Google Docs, tweets, webpages, YouTube) with clear extraction capabilities, leaving no obvious dead ends. A minor gap might be the lack of tools for other formats like Word documents or private Google Docs, but the existing coverage is sufficient for most agent workflows in this domain.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources