Spec Driven Development
作者：formulahendry
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
在你的电脑上运行★ 440MIT14个月前更新
安装
MCP Contact Classifier
概览
作者提供的说明（英文原文）
Classify a job title into department and seniority, and optionally verify the position.
PopNx MCP 的三大支柱
这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。
- 用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
- 我们的基础检查i1 项中通过 0 项依据公开信息检查；尚未扫描代码
- 使用情况i尚未统计★ –
它能帮你做什么
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
- 连接方式: 在你的电脑上运行
- 传输方式: stdio
- 分类: 其他
- 你需要填写：APIFY_TOKEN
安装
选择你使用的 AI 应用，然后复制设置。
安装之前
- 基础检查：1 项中通过 0 项
- 在你的电脑上运行，拥有你的用户账户的权限（文件、网络、应用）。
- 需要你自己填写：
APIFY_TOKEN
标为机密的值是你账户的钥匙。千万不要分享给别人，也不要粘贴到聊天里。
你需要
- npm已安装 Node.js（用于 npx 命令）
你用的是哪个应用？
在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config，把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"contact-classifier": {
"command": "npx",
"args": [
"-y",
"@mambalabsdev/mcp-contact-classifier"
],
"env": {
"APIFY_TOKEN": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add contact-classifier --env APIFY_TOKEN=your-value -- npx -y @mambalabsdev/mcp-contact-classifier运行前请先填写空着的值。
或者自己复制设置
粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json
{
"mcpServers": {
"contact-classifier": {
"command": "npx",
"args": [
"-y",
"@mambalabsdev/mcp-contact-classifier"
],
"env": {
"APIFY_TOKEN": "your-value"
}
}
}
}浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。
或者自己复制设置
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"contact-classifier": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@mambalabsdev/mcp-contact-classifier"
],
"env": {
"APIFY_TOKEN": "your-value"
}
}
}
}浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。
这个服务器在你的电脑上运行，而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上，无需账户。
需要你填写的值
- Apify API token from https://console.apify.com/account/integrations
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。
它能做什么
它在你的电脑上运行；安装后，工具列表会显示在你的 AI 应用中。
基础检查i
我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
- ! 注意
作者与仓库一致
发布者（mambabuilt.com）不是仓库所有者（mambalabsdev）；可能是其他人代为上架的
- … 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
- … 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
- – 不适用
端点有响应
它在你的电脑上运行，没有互联网端点
- – 不适用
使用 OAuth 登录
在你的电脑上运行，改用本地设置
- … 尚未检查
工具描述中没有隐藏指令
它在你的电脑上运行；我们只能读取互联网端点的工具列表
与“其他”中的其他服务器比较i
- 星标数多于此分类中其他 18334 个服务器的 0%
- 发布到注册中心的时间比此分类中其他 18334 个服务器的 95% 更新
- 基础检查结果等于或优于此分类中其他 18334 个服务器的 24%
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。
常见问题
MCP Contact Classifier 安全吗？
它在 1 项适用的基础检查中通过了 0 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。
它需要哪些密钥或代码？
你需要填写：APIFY_TOKEN
它在我的电脑上运行还是在云端？
它在你的电脑上运行。你的 AI 应用会在需要时启动它，数据不会经过作者的服务器（除非它自己调用在线服务）。
它还在维护吗？
GitHub 仓库最后更新于–，最新版本（1.2.1）于前天进入注册中心。
哪些应用可以使用它？
支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
有什么可以替代它？
同一分类中有：Spec Driven Development, Remote Desktop Commander, ProAgentStore
替代选择
同一分类中其他作者的服务器，按星标数排序。
如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Remote Desktop Commander
作者：desktop-commander
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
在云端运行★ 211前天更新
安装
ProAgentStore
作者：ProAgentStore
MCP-first control plane for ProAgentStore agents and private instances.
在云端运行今天更新
安装
作者的 README
打开 README
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Contact Classifier MCP Server
MCP server for the Mamba Labs Contact Classifier actor on Apify.
Give it a job title and it returns the department and the seniority level. Give it a name and a company domain too, and it also checks whether that person is still listed on their employer's own website. The classification is a deterministic rule table, so it needs no API key and returns the same answer for the same title every time.
Install
npx -y @mambalabsdev/mcp-contact-classifierClaude Desktop
{"mcpServers": { "mamba-contact-classifier": { "command": "npx", "args": ["-y", "@mambalabsdev/mcp-contact-classifier"], "env": { "APIFY_TOKEN": "your-apify-token" } } } }
Get an Apify token at console.apify.com/account/integrations.
Tool
classify_contact
One contact in, one classified row out. Only the job title is required.
| Input | Type | Required | Notes |
|---|---|---|---|
job_title | string | yes | The contact's job title, exactly as you hold it. Classified by deterministic rules with no API key needed. |
full_name | string | no | Only needed for position verification. Classification works without it. This name is never sent to any language model. |
company_domain | string | no | Only needed for position verification. The company's website domain, with or without https. |
verify_position | boolean | no | Check whether the person is still listed on their employer's own website. Adds roughly 3 seconds and 9 requests per contact, and needs both the name and the domain. Default false. |
use_llm_fallback | boolean | no | Sends titles the rules cannot place to your own model, using the LLM_API_KEY secret environment variable on your own copy of the actor. Only the title is sent, never the person's name. Default false. |
llm_provider | enum | no | openai, anthropic or google. Which provider your LLM_API_KEY belongs to. Only read when the LLM fallback is on. Default openai. |
llm_model | string | no | Model id passed straight through to the provider. Only read when the LLM fallback is on. Default gpt-4o-mini. |
skipCache | enum | no | Set to true to ignore cached results and classify from scratch. Default false. |
max_charge_usd | number | no | Optional cost cap in USD for this run. The actor stops before an item that could take its charges past this amount. Omit to rely on the maximum cost per run set in Apify. |
Reading the output
21 flat snake_case fields, one row per contact. department is one of 12, seniority one of 12, and seniority_rank is 1 to 12 so a decision maker filter is a comparison rather than a list of strings. classification_rule names the rule that fired, which is what makes the decision auditable.
With no LLM_API_KEY set, titles the rules cannot place come back null. The row is still returned.
Billing
You are charged per contact classified, plus a small actor start fee. The deterministic classification calls no model and no third party API.
| Event | Price | Fires when |
|---|---|---|
apify-actor-start | $0.00005 | Once per run, on start, one event per GB of memory (minimum one). Apify's start event. |
contact-classified | $0.003 (FREE tier), down to $0.00255 on GOLD and above | Once per contact, including a title the rules cannot place. |
Full pricing is on the actor's Apify page. Running this server consumes Apify credits.
The tool starts the actor run and polls it to a finished status, so a run with verify_position on is not cut off at 300 seconds. A run that does not succeed comes back as an error with its run ID and status.
What this server does and does not do
It is a thin client for the Apify actor. It passes your input through and returns the actor's output unchanged. Every behavior described above lives in the actor, not here.
This actor does not discover people. The name and title come from you. It classifies a title and, optionally, checks a name against a page the employer published. To find people in the first place, use People Finder.
Errors are surfaced, never swallowed. An invalid input, an invalid token, an exhausted balance, a timeout, or a run that returns anything other than a dataset all come back as an explicit tool error rather than as an empty result.
Source
The actor is on the Apify Store. This wrapper is MIT licensed.
Built by Mamba Labs