nextrole
A job-search companion: tailor your CV to a role, score fit, fix ATS issues. Also via MCP.
Sollte ich dies verwenden
Qualität und Sicherheit
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"nextrole": {
"url": "https://nextrole.site/api/mcp"
}
}
}Remote-Endpunkte
https://nextrole.site/api/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (5)
🟢ats_lint(cv_markdown)
Free, deterministic ATS check: flags banned symbols, first-person voice, non-standard headers, and unquantified bullets. Returns findings + a pass/fail verdict.
Eingabe-Schema
{
"type": "object",
"properties": {
"cv_markdown": {
"type": "string",
"description": "The CV in Markdown."
}
},
"required": [
"cv_markdown"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}⚪tailor_cv_to_role(cv_markdown, job_spec)
Rewrites a CV for a specific job spec using NextRole's multi-pass tailor→critic engine. Free anonymous allowance; on exhaustion returns a link to continue on the web app.
Eingabe-Schema
{
"type": "object",
"properties": {
"cv_markdown": {
"type": "string",
"description": "The CV in Markdown."
},
"job_spec": {
"type": "string",
"description": "The target job description."
}
},
"required": [
"cv_markdown",
"job_spec"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢score_cv(cv_markdown, job_spec)
The free first read: scores a CV against a job spec using NextRole's critic engine — overall match, per-dimension scores, strengths, gaps, and the single top priority to fix.
Eingabe-Schema
{
"type": "object",
"properties": {
"cv_markdown": {
"type": "string",
"description": "The CV in Markdown."
},
"job_spec": {
"type": "string",
"description": "The target job description."
}
},
"required": [
"cv_markdown",
"job_spec"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢find_roles(query)
Searches live job listings for a role query (e.g. "frontend engineer London"). Cheap, no LLM — returns a short list of matching roles with company and link.
Eingabe-Schema
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "A role query, e.g. \"frontend engineer London\"."
}
},
"required": [
"query"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢fetch_job_spec(url)
Fetches and extracts the job description text from a public job-posting URL, ready to feed into score_cv or tailor_cv_to_role. Cheap, no LLM.
Eingabe-Schema
{
"type": "object",
"properties": {
"url": {
"type": "string",
"description": "A public https:// job posting URL."
}
},
"required": [
"url"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}Community
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