# hirelayer-mcp

Official HireLayer MCP server: resume and CV parsing, job criteria extraction, candidate matching and ranking, and skills normalization for AI agents in Claude, Cursor, VS Code and other MCP clients.

- **Type:** MCP server
- **Trust:** 85/100 (A), scored on the package rubric
- **Verification:** verified (build provenance)
- **Version:** 1.1.1
- **Author:** HireLayer
- **License:** MIT
- **npm:** hirelayer-mcp
- **Endpoints:** streamable-http https://hirelayer.co/mcp
- **Source:** https://github.com/HireLayer/hirelayer-mcp
- **Endpoint health:** reachable (last checked 2026-10-06T23:49:29.524Z, 1 sample) — uptime is not a security property and is not part of the trust score
- **Compatible clients:** claude-code, cursor, copilot, chatgpt, gemini (basis: transport)

## Trust

85/100 (A), scored on the package rubric
- Publisher verified: no
- Build provenance: verified attestation
- npm trusted publishing (OIDC): yes
- Install scripts: nothing suspicious found
- Prompt-injection scan: not run
- Obfuscation scan: not run
- Evidence age: 0 days

## Security scan

- **Status:** clean
- **Scanned:** 2026-10-06T23:49:18.096Z
- **Version scanned:** 1.1.1
- **CVEs:** none found by OSV at scan time

## Tools

6 declared. Statically extracted from the shipped source — a floor on the surface, not a census.
- `hirelayer`
- `parse_resume` — Parse a resume / CV (PDF, DOC, DOCX, ODT, PPT, PPTX, ODP, XLS, RTF, TXT, JPG, PNG or BMP, under 4.5 MB) into structured JSON: contact details, work experience, 
- `extract_job_criteria` — Turn a job description (any language) into weighted matching criteria (matching_criteria[]), each with a weight from 1 to 3, a mandatory flag and a rationale (l
- `match_candidate` — Score one candidate against a job: returns a score between 0 and 1, a summary and an explained evaluation of each criterion (written in French). Use the criteri
- `rank_candidates` — Rank up to 10 candidates against the same job description, from their resume texts: returns each candidate with a rank, a score between 0 and 1 and a rationale 
- `resolve_skills` — Map free-text skills in French or English (one skill, a compound string or a whole skills section) to skills of the HireLayer taxonomy, with their IDs, families

## Install

**Verdict: install** — No blocking findings and no open coverage gaps — safe to install as configured.
**Config** (claude-code):
```json
"{\n  \"mcpServers\": {\n    \"hirelayer\": {\n      \"command\": \"npx\",\n      \"args\": [\n        \"-y\",\n        \"hirelayer-mcp\"\n      ],\n      \"env\": {\n        \"HIRELAYER_API_KEY\": \"<YOUR_HIRELAYER_API_KEY>\"\n      }\n    }\n  }\n}"
```
**Credentials it will ask for** (names only — Forge never holds a value):
- `HIRELAYER_API_KEY` — Hirelayer API Key (required)
Placeholders only. Forge never holds, brokers, or transmits a credential value — replace each <YOUR_NAME> in your own config file. Do not send a value back to Forge; no Forge endpoint accepts one.
- This entry needs 1 credential (1 required). The generated config carries placeholders, so it will fail in the editor rather than at runtime if they are left unset.

## Blast radius

Moderate blast radius — runs locally and hosted; holds an api key.
- Floor 27, ceiling 27 (tier: moderate)
- This is impact, not likelihood. A high radius is not a defect: a filesystem server is supposed to write files. It is never part of the trust score.

## Machine-readable views of this entry

- Signed JSON: https://forgeregistry.com/api/v1/packages/hirelayer-mcp
- Install plan: https://forgeregistry.com/api/v1/packages/hirelayer-mcp/install-plan
- Alternatives: https://forgeregistry.com/api/v1/alternatives/hirelayer-mcp
- HTML page: https://forgeregistry.com/registry/hirelayer-mcp
- MCP: POST https://forgeregistry.com/api/mcp → `forge_get_package` / `forge_install_plan`

## About this document

Generated by Forge (https://forgeregistry.com) — a compact rendering of the same record served, signed, at the JSON URL above. Trust and scan facts are the registry's own measurements; anything Forge did not measure is named as unmeasured rather than omitted.
