"Bose" matching MCP servers:

A Chrome DevTools Protocol MCP server that enables direct browser automation with auto-discovery of interactive elements, built-in action verification, and persistent site memory across sessions.

Uses FastMCP and Playwright to search and filter jobs on Boss Zhipin, with login via QR code and filtering by keywords and publish date.

Local MCP server for BOSS Zhipin workflows. Exposes 49 tools for job search, welfare filtering, recruiter messaging, pipeline tracking, and resume optimization for AI agents.

Pay-per-call web search for AI agents, settled in USDC on Base via the x402 protocol. No API key or subscription required; users fund a wallet and get a web_search tool.

Enables AI assistants to automate Boss直聘 recruitment workflows via local Chrome, including candidate queries, messaging, batch replies, resume previews, and position management.

Enables AI assistants like Claude to drive a logged-in BOSS 直聘 recruiter dashboard through the Chrome DevTools Protocol, batch-searching candidates across many keywords, capturing resume screenshots and share links, deduplicating into a persistent local database, scoring and filtering candidates against YAML criteria, and exporting Markdown reports. It also supports sending greetings and tracking pipeline progress with resume-after-interruption.

让 Claude Code / Claude Desktop 等 AI 助手直接操作招聘后台，批量搜索候选人、截图查看简历、提取分享链接、筛选评分、导出报告并发送打招呼消息。它还能把候选人持久化到本地数据库，支持中断恢复和多关键词去重。

Enables AI assistants to automate a recruiter's BOSS 直聘 workflow by driving an already-logged-in Chrome browser through the Model Context Protocol, so they can batch-search and deduplicate candidates, capture Canvas-rendered resumes as screenshots and extract permanent share links, filter and score candidates from YAML criteria, greet them, and export Markdown reports while persisting everything to a resumable local database.

Enables AI assistants to automate a logged-in recruiter console over Chrome DevTools Protocol, running multi-keyword candidate searches, capturing and de-duplicating profiles into a local database, extracting share links, scoring and shortlisting applicants against YAML criteria, exporting Markdown reports, and sending greetings. A resumable pipeline keeps results across interruptions so work can continue where it left off.

Enables AI assistants to drive a logged-in recruiter account through Chrome DevTools Protocol to batch-search candidates across multiple keywords, screenshot Canvas-rendered resumes, extract share links, filter and score applicants, and export Markdown reports. Results are persisted to a local candidate database with deduplication and resumable pipelines.

Enables AI assistants to drive a logged-in BOSS Zhipin recruiter account through the Model Context Protocol, running multi-keyword candidate searches, capturing Canvas-rendered resume screenshots, extracting permanent share links, auto-filtering and scoring candidates, sending greetings, and exporting Markdown reports. Results persist in a local database so interrupted pipelines can resume without losing data.

Enables AI assistants to automate recruiter-side hiring workflows by batch-searching candidates, capturing resume screenshots, extracting share links, filtering and scoring applicants, exporting Markdown reports, and initiating greetings while persisting results locally.

Enables AI assistants to automate recruiter workflows through the Model Context Protocol: batch-searching candidates, capturing résumé screenshots for OCR, filtering and scoring applicants, extracting share links, sending greetings, and exporting Markdown reports.

Enables AI assistants to automate recruiter-side candidate sourcing by batch-searching, capturing resume screenshots and share links, scoring and filtering profiles, exporting reports, and sending greetings through a logged-in Chrome session.

Lets AI assistants such as Claude drive an already-logged-in BOSS 直聘 recruiter console through Chrome, running multi-keyword candidate searches, capturing Canvas resume screenshots, extracting permanent share links, and saving results to a resumable local database. It also filters and scores candidates against YAML criteria and exports Markdown reports, plus sends greetings to selected candidates.

Enables AI assistants to automate recruiting on the BOSS Zhipin job platform by driving a logged-in Chrome session — batch-searching candidates across many keywords, screenshotting Canvas-rendered resumes, extracting permanent share links, auto-scoring and filtering applicants against YAML criteria, and exporting Markdown reports. Results persist to a local candidate database with deduplication and resume support, so interrupted hiring pipelines can continue where they left off.

Enables AI assistants to automate recruiting workflows by batch-searching candidates, capturing resume screenshots, extracting share links, filtering and scoring profiles, greeting candidates, and exporting Markdown reports.

Enables AI assistants to automate recruiter-side hiring workflows by batch-searching candidates, capturing resume screenshots, extracting share links, filtering and scoring profiles, sending greetings, and exporting Markdown reports.

Enables AI assistants to automate recruiter-side hiring workflows on BOSS Zhipin by batch-searching candidates with multiple keywords, capturing resume screenshots, decoding share links, persisting and deduplicating candidate data, filtering/scoring candidates, exporting Markdown reports, and sending greetings through a logged-in Chrome browser.

Enables AI assistants to drive a logged-in BOSS Zhipin recruiter account through Chrome, batch-searching candidates across multiple keywords, capturing Canvas-rendered resumes as screenshots, extracting permanent share links, greeting candidates, and filtering/scoring them from a local database. It also exports Markdown candidate reports and supports resumable pipelines via YAML-configured criteria.