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⇱ A service for evaluating and scoring resumes | Glama

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A service for evaluating and scoring resumes

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  • Why this server?

    This server is highly relevant as its core function is to process and evaluate resumes, analyzing skills and scoring candidates against job requirements, which directly matches 'resume grading'.

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    An intelligent server that processes and evaluates resumes by extracting structured data, analyzing skills and experience, scoring candidates against job requirements, and generating detailed reports.
    Last updated
    MIT

  • Why this server?

    This tool specializes in analyzing resumes against job descriptions to identify missing skills, keywords, and provide actionable feedback, functioning as an AI-powered resume grader.

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    Analyzes resumes against job descriptions to identify missing skills, keywords, and improvement opportunities using AI. Provides structured feedback including gap analysis, ATS optimization suggestions, and actionable recommendations to improve job application success.
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  • Why this server?

    Explicitly designed for resume scoring and evaluation, this server provides AI-powered feedback and a competitive scoring system.

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    Enables AI-powered resume scoring and feedback through secure Google OAuth authentication. Provides FastAPI endpoints for resume evaluation with plans for leaderboard visualization and competitive scoring features.
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    Apache 2.0

  • Why this server?

    This server uses resume content to check against job postings for compatibility, performing a crucial step in the resume grading process to determine fit.

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    A Model Context Protocol (MCP) server that provides tools to interact with LinkedIn's Feeds and Job API. You can do "search for 3 data engineer jobs in . For each job check if it a good match for me by analyzing it against my resume in file resume.md."
    Last updated
    207
    The Unlicense

  • Why this server?

    Designed to analyze and evaluate resumes based on metrics and skills (AI/ML experience), providing the core function of grading specific resume content.

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    Enables natural language querying of a resume with AI/ML experience, business impact metrics, and technical skills. Supports searching by company, skill, or achievement with built-in analytics and evaluation capabilities.
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  • Why this server?

    This server assists in optimizing resumes based on job postings, implying an internal grading or analysis mechanism to determine where improvements are needed.

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    A Model Context Protocol server that helps with job applications by analyzing job postings and optimizing resumes and cover letters through document analysis tools.
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  • Why this server?

    Parsing raw resume text into structured JSON is a necessary foundational step for any automated resume grading system, making this a highly relevant preparatory tool.

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    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.
    Last updated

  • Why this server?

    Enables conversational interaction about resume/CV content, suggesting functionality for detailed, interactive analysis or 'grading' of the document's content.

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    Enables AI-powered conversations about resume/CV content and email notification sending through a comprehensive MCP server. Features a modern Next.js frontend with resume chat interface, email forms, and resume viewer for SE interview demonstrations.
    Last updated
    221
    MIT

  • Why this server?

    Provides tools for profile retrieval and 'resume analysis,' indicating features relevant to evaluating or grading professional documents.

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    A Model Context Protocol server that enables seamless interaction with LinkedIn for job applications, profile retrieval, feed browsing, and resume analysis through natural language commands.
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    30