mcp_resume_screening
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The Job Matching MCP Server is a Model Context Protocol server designed to provide intelligent job matching capabilities by extracting structured job requirements from job descriptions and finding/ranking candidates from the LlamaCloud resume index.
The Job Matching MCP Server is a sophisticated tool that leverages advanced AI technologies to streamline the recruitment process. By utilizing the power of OpenAI and LlamaCloud, this server can efficiently extract structured data from job descriptions, identify and rank potential candidates, and provide detailed analyses of candidate qualifications. This server is designed to enhance the efficiency of hiring processes by automating the extraction of job requirements and matching them with the most suitable candidates from a comprehensive resume database. It supports various functions such as semantic search, weighted scoring, and detailed candidate analysis, making it an invaluable asset for recruiters and HR professionals. The server is highly configurable, allowing for integration with existing systems and customization to meet specific organizational needs. With its robust architecture, the Job Matching MCP Server is capable of handling multiple requests simultaneously, ensuring a seamless and efficient job matching experience.
Features
- Extract structured job requirements from job descriptions.
- Find and rank candidates from the LlamaCloud index using semantic search.
- Search candidates by specific skills and qualifications.
- Score candidate qualifications against job requirements.
- Provide detailed analysis and recommendations for candidate selection.
Tools
extract_job_requirements
Extract structured job requirements from text.
find_matching_candidates
Find candidates matching job qualifications.
search_candidates_by_skills
Search candidates by specific skills.
score_candidate_qualifications
Score candidate against job requirements.