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.
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HIRELAYER_API_KEYAPI keyrequiredHireLayer API key. Free plan with 50 credits a month at https://hirelayer.co
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hirelayerNo description publishedThis tool published no description. Forge does not invent one.
parse_resumeParse 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, education, languages, skills and the full resume text in info_resume.text. Pass a local file_path or a public file_url. Takes about 35 seco…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, education, languages, skills and the full resume text in info_resume.text. Pass a local file_path or a public file_url. Takes about 35 seco…
No input schema was published for this tool.
extract_job_criteriaTurn 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 (labels and rationales are written in French). Feed the result to match_candidate. Costs 1 HireLayer credit.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 (labels and rationales are written in French). Feed the result to match_candidate. Costs 1 HireLayer credit.
No input schema was published for this tool.
match_candidateScore 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 criteria from extract_job_criteria and the resume text from parse_resume (info_resume.text). Costs 1 HireLayer credit.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 criteria from extract_job_criteria and the resume text from parse_resume (info_resume.text). Costs 1 HireLayer credit.
No input schema was published for this tool.
rank_candidatesRank 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 (written in French). Costs 1 HireLayer credit per call, whatever the number of 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 (written in French). Costs 1 HireLayer credit per call, whatever the number of candidates.
No input schema was published for this tool.
resolve_skillsMap 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 and domains. Unmatched parts are listed in unresolved. Costs 1 HireLayer credit.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 and domains. Unmatched parts are listed in unresolved. Costs 1 HireLayer credit.
No input schema was published for this tool.
5 of 6 tools published a description.
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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.
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