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sindhujaIBM

career-mcp

by sindhujaIBM
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TypeScript
Local

career-mcp

An MCP server for the job-search loop: store a resume, drop in a job description, get a real match analysis, a tailored resume, a cover letter, a LinkedIn About section — plus a structured interview that captures your career stories so they're ready to reuse.

Local-first. Your resume and stories live in a folder on your machine (~/.career-mcp by default) — nothing is uploaded anywhere.

How it works

The MCP server itself doesn't call any LLM. It's a data layer: it stores your resume, job descriptions, voice profile, and stories, and hands them back as context. The actual reasoning — match analysis, tailoring, writing — is done by whatever MCP-capable client you're using (Claude Code, Claude Desktop, etc.), the same way any tool-using conversation works.

If you don't have an MCP client, the bundled CLI (career-mcp-cli) does the same job standalone, using your own Groq or Gemini API key (both have usable free tiers) to do the reasoning itself.

Related MCP server: LAPRAS MCP Server

Install

npm install -g @sindhujaks/career-mcp

Use with an MCP client (recommended)

Add to your client's MCP config (e.g. .mcp.json for Claude Code):

{
  "mcpServers": {
    "career-mcp": {
      "command": "career-mcp"
    }
  }
}

Then, in conversation: save your resume, save a JD, and ask your client to run a match analysis, draft a tailored resume, write a cover letter, or draft a LinkedIn About. Say "let's capture a career story" to run the guided interview.

Tools

Tool

Purpose

save_resume / get_resume

Store/retrieve your base resume

save_voice_profile / get_voice_profile

Store tone/style guidance so generated content sounds like you

save_jd

Store a job description, sets it as the active application

get_active_application

Bundles resume + JD + voice profile + relevant stories as context

list_applications

List all stored applications

save_output

Persist a generated match analysis / resume / cover letter / About section

save_story / query_stories

Save/retrieve career stories, filterable by tag

start_story_interview / answer_story_question

Guided, protocol-driven interview to capture one new story

Use standalone (no MCP client)

cp .env.example .env   # fill in CAREER_MCP_API_KEY (free Groq or Gemini key)

career-mcp-cli set-resume --file resume.txt
career-mcp-cli set-jd --company Acme --role "Senior Engineer" --file jd.txt
career-mcp-cli analyze
career-mcp-cli resume
career-mcp-cli cover-letter
career-mcp-cli about
career-mcp-cli interview   # guided story capture

Data layout

~/.career-mcp/
├── resume.json
├── voice_profile.md
├── stories/<slug>.md
└── applications/<company-role>/
    ├── jd.json
    └── outputs/{match_analysis,tailored_resume,cover_letter,linkedin_about}.md

Override the location with CAREER_MCP_DATA_DIR.

License

MIT

This server cannot be deployed

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