decroche-mcp
Deterministic 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.
README
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decroche-mcp
MCP 360° pour décrocher un emploi — bat l'ATS et le screener LLM honnêtement (Phase 1 : cœur anti-rejet CV).
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Table of Contents
- Overview
- Architecture
- Install
- MCP Client Config
- Features — Phase 1
- Development
- Contributing
- Security
- License
Overview
decroche-mcp is a deterministic Python/FastMCP MCP server for the complete 360° job-landing
pipeline. It exposes pure, testable, zero-LLM tools — the host Claude (guided by the
decroche skill) does all the reasoning and rewriting.
Phase 1 (this release): CV anti-rejection core — parse a CV (PDF/DOCX/MD/TXT) into a validated JSON Resume, detect sections, score parse confidence, and expose FR/US market profiles. No magic, no hallucinated metrics, no hidden-text tricks.
Honesty guarantees (hard-coded):
keyword_gapmarks each gap asaddable_honestly(real skill, not yet phrased) orgenuinely_missing— never invents credentials.cv.xyz_scaffoldsignals missing metrics (y_present: false) and asks for real numbers.ats.redflag_scandetects prompt-injection / hidden-text tactics and reports them; never produces them.
Architecture
flowchart LR
CV["CV\n(PDF/DOCX/MD/TXT)"]
Offer["Offre\n(texte/URL)"]
subgraph MCP["decroche-mcp (FastMCP — stdio)"]
parse["cv.parse\nJSON Resume + sections\n+ confiance"]
market["market.set\nprofil FR/US/UK…"]
atssim["ats.parse_sim\nscore parsabilité\n+ casses"]
matchscore["match.score\n+ keyword_gap"]
redflag["ats.redflag_scan"]
brief["ats.screener_brief\n→ kit simulation"]
render["cv.render\n.docx ATS-safe\n+ PDF stylé"]
report["ats.score_report\navant/après"]
end
Claude["Claude (hôte)\npiloté par skill decroche\nréécriture XYZ honnête\nscreener LLM simulation"]
CV --> parse
Offer --> matchscore
parse --> market
parse --> atssim
parse --> matchscore
parse --> redflag
parse --> brief
brief --> Claude
matchscore --> Claude
Claude --> render
render --> atssim
atssim --> report
redflag --> report
Install
# Run as MCP server via uvx (recommended — no install needed):
uvx decroche-mcp
# Or install in a project:
uv add decroche-mcp
# From source:
git clone https://github.com/Casius999/decroche-mcp.git
cd decroche-mcp
uv venv && uv sync --extra dev
MCP Client Config
Add to your Claude Desktop / MCP client config:
{
"mcpServers": {
"decroche-mcp": {
"command": "uvx",
"args": ["decroche-mcp"]
}
}
}
Features — Phase 1
| Tool | Description |
|---|---|
cv_parse |
Parse PDF/DOCX/MD/TXT → JSON Resume + sections + confidence score + warnings |
market_get |
Get active market profile (FR by default) |
market_set |
Set active market profile (fr, us, uk, ca-en, ca-fr) |
market_available |
List available market profile ids |
Phase 2+ tools (ATS simulation, match scoring, XYZ scaffold, render, apply queue) come in subsequent tranches. See CHANGELOG.md.
Development
uv venv
uv sync --extra dev
# Lint
uv run ruff check .
uv run ruff format --check .
# Tests with coverage
uv run pytest --cov --cov-report=term-missing --cov-fail-under=80
# Run the server (stdio — attach an MCP client)
uv run decroche-mcp
Contributing
Contributions are welcome! Please read CONTRIBUTING.md and our Code of Conduct. Commits follow Conventional Commits and must be signed.
Security
Found a vulnerability? Please follow our Security Policy and report privately — do not open a public issue.
License
Licensed under the MIT license. © 2026 Julien Compain.
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