nextrole
A job-search companion: tailor your CV to a role, score fit, fix ATS issues. Also via MCP.
我该使用它吗
质量与安全性
基于对工具定义和协议合规性的自动分析。
上下文开销
这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高，可用于其他任务的注意力就越少。
安装
一键安装
将以下内容添加到你的 `claude_desktop_config.json` 文件中：
{
"mcpServers": {
"nextrole": {
"url": "https://nextrole.site/api/mcp"
}
}
}远程端点
https://nextrole.site/api/mcpstreamable-http它能做什么
工具清单
工具（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.
输入模式
{
"type": "object",
"properties": {
"cv_markdown": {
"type": "string",
"description": "The CV in Markdown."
}
},
"required": [
"cv_markdown"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}⚪tailor_cv_to_role(cv_markdown, job_spec)
Rewrites a CV for a specific job spec using NextRole's multi-pass tailor→critic engine. Free anonymous allowance; on exhaustion returns a link to continue on the web app.
输入模式
{
"type": "object",
"properties": {
"cv_markdown": {
"type": "string",
"description": "The CV in Markdown."
},
"job_spec": {
"type": "string",
"description": "The target job description."
}
},
"required": [
"cv_markdown",
"job_spec"
],
"$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.
输入模式
{
"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"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢find_roles(query)
Searches live job listings for a role query (e.g. "frontend engineer London"). Cheap, no LLM — returns a short list of matching roles with company and link.
输入模式
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "A role query, e.g. \"frontend engineer London\"."
}
},
"required": [
"query"
],
"$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.
输入模式
{
"type": "object",
"properties": {
"url": {
"type": "string",
"description": "A public https:// job posting URL."
}
},
"required": [
"url"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}社区
证据