resume-analyzer-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| analyze_resumeB | Analyzes the structure, completeness, impact metrics, action verbs, and skills of a resume. |
| suggest_improvementsB | Generates actionable recommendations to optimize bullet points, action verbs, and formatting. |
| calculate_ats_scoreA | Calculates ATS match percentage score (0-100%) by comparing resume text against a job description. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| full_resume_review | Creates a pre-configured prompt template for comprehensive resume evaluation. |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| get_sample_resume | Exposes an industry-standard markdown resume template resource. |
| get_ats_guidelines | Exposes standard Applicant Tracking System (ATS) parsing rules and best practices. |
TDQS
Scored across 3 tools
The three tools have distinct purposes: analyzing resume quality, suggesting improvements, and calculating ATS match. However, 'analyze_resume' and 'suggest_improvements' could overlap slightly since both deal with resume content quality, though their outputs differ (analysis vs. recommendations).
All tool names follow a consistent verb_noun pattern: analyze_resume, suggest_improvements, calculate_ats_score. The pattern is predictable and clear.
Three tools is on the leaner side for a resume analyzer, potentially leaving users wanting more functions like resume parsing or formatting help. However, the count is still within a reasonable range for a focused tool that handles core resume analysis tasks.
The core workflow covers analyzing a resume, suggesting improvements, and calculating ATS score. However, there's a notable gap: no tool to update or create a resume, and the tools likely rely on passing full resume text each time, making the workflow feel incomplete.