ats-fill-mcp
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@ats-fill-mcp Inspect the current job application form and fill it using my resume."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
ats-fill-mcp
通用网申表单 AI 自动填写的 可复用 MCP 服务器。把「Agent/LLM 做语义规划 + 页内批量执行」的混合方案固化为服务,可在任何网申站点复用,避免逐字段手工点选、也规避牛客式“几何错位”。
架构
flowchart LR
A[Agent / LLM<br/>MCP 客户端] -- inspect_form --> M[ats-fill-mcp]
A -- fill_form ops --> M
M -- inject engine.js<br/>capture/exec --> B[已登录 Chrome<br/>CDP 9222]
A -- verify_form --> M
A -- read 简历 md --> P[(简历预填个人信息.md)]语义层(Agent/LLM):调用
inspect_form看结构 → 对照简历给出ops(按msg/id/name寻址、值别名归一)。这正是本方案相对牛客脚本的核心优势。执行层(本服务):页内
engine.js+ 批量执行器:native setter + input/change、原生 select、radio/checkbox、省市两级级联下拉、日期回车、多行“增加更多”。
Related MCP server: MCP智能简历投递助手
快速开始
1) 安装依赖
cd ats-fill-mcp
npm install2) 启动“已登录”的 Chrome(网申站通常需要登录)
先关闭已开着的 Chrome,再带远程调试端口启动(沿用你已登录网申账号的用户目录):
"C:\Program Files\Google\Chrome\Application\chrome.exe" --remote-debugging-port=9222若想与日常浏览器并存,可另设
--user-data-dir=D:\chrome-debug,但需在其中重新登录目标网申站。
3) 注册到 VS Code(mcp.json / 用户设置 mcp.servers)
{
"servers": {
"ats-fill": {
"type": "stdio",
"command": "node",
"args": ["c:/Users/Mr.z/Desktop/release-learn/ats-fill-mcp/src/index.js"],
"env": { "CDP_URL": "http://127.0.0.1:9222" }
}
}
}重启 VS Code / 重载窗口后,MCP 工具即对 Copilot 可用。
工具与工作流
工具 | 说明 |
| 打开/聚焦页面并注入引擎 |
| 采集字段: |
| 批量执行,返回每项成功/失败与回读值 |
| 回读校验( |
推荐工作流(Copilot 提示词可复用):
1) inspect_form { url: "<网申页>" }
2) 读取简历源(如 简历预填个人信息.md),据此生成 fill_form 的 ops。
3) fill_form { ops: [ ... ] }
4) verify_form { msgs: ["姓名","民族","期望工作地点1","企业名称", ...] }
5) 由用户复核后,在页面上点“保存”。ops 参考
目标寻址优先级:
id>name>msg(WinTalent/大易等表单控件带msg="字段语义",最稳){op:"text", msg:"证件号码", value:"421022200502060614"}— 文本/textarea{op:"clear", msg:"其他外语水平及成绩"}— 清空{op:"date", msg:"到岗时间", value:"2026-09-06"}{op:"select", msg:"民族", value:"汉族"}— 原生下拉,选项文本精确→模糊匹配{op:"radio", msg:"性别", label:"男"}{op:"check", msg:"同意声明", on:true}{op:"cascade", cityId:"11_245_1", provSub:"湖北", citySub:"荆州"}— 省市两级(省级自动取firstLevl+cityId){op:"addRow", text:"实习经历", times:1}— 点“增加更多/继续添加 …”
注意事项 / 边界
本服务不点“保存”、不上传附件(照片/学籍报告/成绩单/外语证明/身份证/简历需用户本地上传)。
自动填入需与用户提供的真实简历一致;敏感字段(证件号等)请确保来源可靠,避免虚假申报。
若表单非“msg”体系:用
id/name寻址即可;字段语义由调用方(Agent)按inspect_form的上下文判定。中文 ID 以数字开头 → 内部一律用
getElementById/msg寻址,不受 CSS 数字开头限制影响。
复用举例(其他站点)
拿到任意新网申页后:inspect_form 会输出其 msgFields/addButtons;对照简历把“实习经历、项目、教育、家庭”等字段写成 ops 即可,无需为该站写模板——语义规划由 Agent 现算,执行由本服务现跑。
Available Tools
4 toolsfill_formA
按 ops 批量执行填写/纠错。支持 text/date/select/radio/check/cascade/addRow;控件用 id/name/msg 寻址。返回每项成功与否与回读值。
Inputs: ops (required).
inspect_formA
采集当前(或给定 url)网申表单结构:带 msg 语义的字段清单、当前值、下拉选项、可用的“添加更多”按钮。用于 Agent 语义规划。
Inputs: url.
verify_formA
回读指定 msg 字段当前真实值,用于填写后校验。传 ["*"] 可返回全部。
Inputs: msgs (required).
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 4 tools
Each tool targets a distinct phase: navigate opens the page, inspect_form reads structure, fill_form writes values, and verify_form confirms results. There is no meaningful overlap between their responsibilities.
Three tools follow a clear verb_noun pattern (inspect_form, fill_form, verify_form), while navigate is a bare verb. The imperative style is consistent, but the missing _form suffix is a minor deviation.
Four tools cover the full form-filling workflow without redundancy. The count is appropriate for the server's focused purpose.
The set forms a complete lifecycle: navigate to the page, inspect structure, fill or update values, and verify results. No obvious operations are missing for the stated ATS form-filling domain.
Maintenance
Related MCP Connectors
Let AI agents use your real, signed-in Chrome: tabs, clicks, forms, screenshots and video.
AI-powered browser automation — navigate, click, fill forms, and extract data from any website.
Let your AI agent operate any website through a real, logged-in browser session.
Stealth web automation for AI agents. Login, signup, navigate, screenshot.
Related MCP Servers
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to interact with web browsers using natural language, featuring automated browsing, form filling, vision-based element detection, and structured JSON responses for systematic browser control.64MIT
- FlicenseNot gradedqualityDmaintenanceEnables AI-driven job application automation for LinkedIn and SEEK platforms with intelligent cover letter generation, automated application submission, and application tracking management. Supports anti-detection measures and complies with platform usage policies for safe job hunting automation.-
- AlicenseBqualityDmaintenanceEnables AI agents to fully control Google Chrome: navigate, click, fill forms, inspect DevTools, and manage tabs with parallel execution and session isolation.246 npmMIT
- AlicenseCqualityCmaintenanceEnables AI agents to fill real job application forms in a real browser, remember previous answers across applications, and enforce guardrails such as confirmation before submission and asking rather than guessing unknown fields.32MIT