resume-scorer-mcp
Related Servers
Alternatives to resume-scorer-mcp
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityDmaintenanceMCP server for candidate scoring. Post a resume and job description, get back structured scores across skills match, experience, industry background, and education — plus strengths and gaps grounded in the actual text. Hosted API at recruit api .app or self-host on Railway.-
- AlicenseBqualityDmaintenanceDeterministic MCP server for job-landing pipeline that parses CVs into validated JSON Resume, detects sections, scores parse confidence, and exposes FR/US market profiles to help beat ATS and LLM screeners honestly.75MIT
- AlicenseNot gradedqualityDmaintenanceAn intelligent, zero-cost MCP server that securely parses local resumes and compares them against live job postings for ATS scoring, skill gap analysis, and interview prep.1MIT
- FlicenseAqualityDmaintenanceAn MCP server that tailors LaTeX resumes to job descriptions using Claude, returning a structured diff with keywords, gap summary, bullet changes, and a guardrails report.2-
- FlicenseBqualityCmaintenanceMCP server for analyzing resumes, calculating ATS match scores, and suggesting job-tailored improvements.3-
- AlicenseNot gradedqualityBmaintenanceMCP server that evaluates, compares, aligns, generates, and validates resume materials against specific job postings, including ATS parseability checks, match scoring, and gap analysis.Apache 2.0
TDQS
Scored across 2 tools
Both tools have clearly distinct purposes: one expects structured JSON Resume input, the other accepts free-form text. Descriptions explicitly state the difference and accuracy trade-off, leaving no ambiguity.
Both tools follow the same `score_resume` prefix, with the second having a descriptive suffix `_from_freeform`. The pattern is consistent and predictable.
Two tools is minimal but appropriate for this narrow domain—scoring resumes in two input formats. Could potentially add a third for batch processing, but current count is reasonable.
The set covers the two likely input types (structured and freeform). No obvious gaps like scoring from a file path or returning additional output formats, but the core functionality is complete.