Connect-MCP

ResumeMD

pro.resumemd/resumemd · v1.0.0

Turn a Markdown resume draft into an interview-ready PDF. 32 templates, no account, nothing stored.

MCPremoteno credentialsJobs & HRDocuments & PDFResearch & education

Reported outcomes

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Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 4 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

A 95/100

What it does: 4 tools · 3 read, 0 write · Documents & PDF, Research & education, Analytics & marketing

Test call list_resume_templates: worked (1,024 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +10
  • Read/write annotations: 0
  • Safe test call: +20
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://resumemd.pro/api/mcp

Tools

4 tools listed at last check
  • get_resume_markdown_guide The ResumeMD Markdown conventions for writing a resume: name line, contact line, section headings, role entries, bullets, skills, and the optional sidebar marker — plus a compact skeleton example. Call this BEFORE drafting a resume for a user and follow the structure exactly, so the finished draft p
  • list_resume_templates All 32 ResumeMD templates with a one-line description of each. The same Markdown renders in every template, so use this to recommend a look for the user (for example: tech for engineers, executive for leadership roles, academic for research CVs). Template ids are also valid input to render_resume_pd
  • analyze_resume Score a Markdown resume 0-100 and get readability metrics, keyword findings (action verbs, technical and soft skills), missing-section checks, and the top improvement recommendations. Runs ResumeMD's free analytics engine on the server — pure computation, no AI call, and the resume is never stored.
  • render_resume_pdf Render a Markdown resume to a finished PDF using a ResumeMD template (default: classic — see list_resume_templates for all 32 ids). Returns JSON with a base64-encoded PDF and a suggested filename; decode the base64 to give the user the file. The PDF is generated in memory and never stored. For inter

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