Resume Filter
Automates the intelligent screening, parsing, and sorting of resumes extracted from emails.
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The Resume Filter is a Model Context Protocol (MCP) server built with Nest.js and TypeScript, designed to streamline the resume screening process. It automatically integrates with email accounts to extract resume attachments, supporting multiple formats like PDF, DOC, and DOCX. Leveraging a sophisticated multi-dimensional scoring system, it enables intelligent searching based on keywords, positions, skills, and experience, along with flexible sorting options. The server also provides valuable data analytics on resume distributions and offers seamless integration with AI assistants like Claude and ChatGPT via the MCP protocol, acting as a backend tool provider for advanced conversational recruitment workflows.
Características Principales
- MCP Protocol Integration: Provides tools and resources for seamless interaction with AI assistants (e.g., Claude, ChatGPT).
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- Data Analysis: Generates statistical insights on resume pools, including distributions by position, experience, and education.
- Email Integration: Automatically extracts resume attachments from specified mailboxes.
- Multi-format Support: Parses and processes resumes in PDF, DOC, and DOCX formats.
- Intelligent Search & Sort: Offers multi-dimensional search by keywords, position, skills, and experience, with sorting options by relevance, date, experience, or name.
Casos de Uso
- Automating the initial screening and organization of job applications received via email.
- Empowering AI assistants to search, sort, and analyze resumes based on specific criteria.
- Providing recruiters and hiring managers with data-driven insights into their candidate pipeline.
