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Rchilli Resume Parser MCP Server

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Alternatives to Rchilli Resume Parser MCP Server

No user-submitted related servers found.

    Related Servers

    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables parsing of raw resume text into structured JSON format with organized sections for skills, experience, education, and projects. Uses Google's Gemini AI model to extract and categorize resume information from unstructured text input.
      -
    • F
      license
      A
      quality
      D
      maintenance
      Enables AI assistants to intelligently fetch, parse, search, and rank resumes from email attachments. Supports multi-format resume parsing (PDF, DOC, DOCX), multi-dimensional searching by keywords, position, skills, and experience, with statistical analysis capabilities.
      6
      -
    • A
      license
      A
      quality
      C
      maintenance
      Enables MCP clients to analyze resumes for ATS compatibility, parse job descriptions, get optimization and roast-style critiques, and generate tailored resumes with shareable preview links.
      6
      38 npm
      MIT

    TDQS

    B3.2/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools are clearly distinct: one parses resumes from binary data in base64 format, and the other from a public URL. There is no overlap in their purposes or input methods, making it easy for an agent to choose the correct tool based on the data source available.

    Naming Consistency5/5

    Both tools follow a consistent verb_noun pattern with 'resume_parser' as the prefix, followed by 'binary_api' and 'url_api' to specify the input type. This naming convention is predictable and enhances readability across the tool set.

    Tool Count2/5

    With only two tools, the server feels thin for a resume parser domain. While it covers two common input methods (binary and URL), it lacks tools for other operations like retrieving parsed results, updating data, or handling errors, which limits its utility and scope.

    Completeness2/5

    The server only provides parsing tools without any complementary operations such as storing, retrieving, or managing parsed resumes. This creates significant gaps in the lifecycle of resume data, likely causing agent failures when more than basic parsing is needed.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues