Skip to main content
Glama
PigeonAI-Yang

pyaireader

by PigeonAI-Yang
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to pyaireader

No user-submitted related servers found.

    Related Servers

    • pagewatch-mcp

      toolshedlabs-hash
      A
      license
      A
      quality
      C
      maintenance
      MCP server that provides read_page, screenshot, and pdf tools using a real browser, enabling agents to fetch clean markdown, screenshots, and PDFs from any URL.
      5
      16 npm
      MIT

    • url-context-mcp

      SkillfulElectro
      A
      license
      A
      quality
      B
      maintenance
      An MCP server that fetches web pages and extracts clean, AI-usable context from them, enabling tools for link discovery, content search, and integrated fetch-and-search operations.
      5
      8 npm
      1
      MIT

    • superFetch MCP Server

      j0hanz
      A
      license
      A
      quality
      C
      maintenance
      An MCP server that fetches web pages and extracts clean, AI-friendly Markdown content using Mozilla Readability. It provides secure web access for LLMs with built-in SSRF protection and automated content cleaning for improved context retrieval and summarization.
      1
      114 npm
      MIT

    • Groundlane

      lanefoundry
      A
      license
      Not graded
      quality
      B
      maintenance
      An MCP server that gives AI agents controlled access to the web, offering unified tools for fetching pages as Markdown, searching across multiple providers, and extracting structured data via CSS selectors.
      Apache 2.0
    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

    C2.9/5.0

    Scored across 15 tools

    Disambiguation2/5

    Multiple tools are aliases (read_url_for_ai, batch_read_urls_for_ai) or have overlapping purposes (search_platform vs. collect_platform_evidence). This creates confusion for an agent trying to select the right tool.

    Naming Consistency2/5

    Naming is inconsistent: most use snake_case verb_noun, but 'collect_platform_evidence' deviates, and the for_ai suffix is applied haphazardly. The storage tools mix prefixes (library_ vs. save_reading_item).

    Tool Count3/5

    15 tools is at the upper end of the ideal range. The presence of duplicate aliases inflates the count unnecessarily, but the core functionality is reasonably scoped.

    Completeness3/5

    The tool surface covers reading, batch reading, searching, caching, and storage operations. However, the library storage lacks a delete/remove tool, leaving an incomplete lifecycle for saved items.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources