Index / MCP servers / 台灣勞健保勞退試算

台灣勞健保勞退試算 MCP server

Connect 台灣勞健保勞退試算 and your agent gets 9 tools, among them calculate_employer_supplementary_premium, calculate_income_tax_withholding, calculate_old_age_lump_sum. It answers at https://taiwan-payroll.simoko.workers.dev/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 6 of 6 times since 11 September 2026; the last check, on 24 October 2026, succeeded.

Status
Answering
Tools
9
Reliability
6 of 6 checks
Response time
210 ms
Transport
streamable HTTP
Last checked
24 October 2026

台灣勞保、健保、勞退、職災與二代健保補充保費試算,含薪資扣繳、破月與勞保老年給付。資料取自主管機關公告,對官方範例逐位元驗證。

Description as the publisher wrote it.

The 9 tools 台灣勞健保勞退試算 offers

ToolWhat it does
calculate_employer_supplementary_premium計算雇主端二代健保補充保費(費率 2.11%):(每月支付薪資總額 − 受僱者當月健保投保金額總額) × 費率,無上限。結果僅供參考,以勞保局、健保署核發之繳款單為準,不構成法律或會計建議。
Inputs: year, monthlyPaidTotal, monthlyInsuredTotal, rounding
calculate_income_tax_withholding計算薪資所得扣繳稅額:居住者固定月薪(公式法)、非每月給付獎金(5%,未達起扣標準免扣)、非居住者(18%;月薪≤1.5倍基本工資為6%)。結果僅供參考,以勞保局、健保署核發之繳款單為準,不構成法律或會計建議。
Inputs: year, type, monthlySalary, dependents, amount
calculate_old_age_lump_sum依勞保老年一次金法定公式(平均月投保薪資 × 給付月數;年資每滿 1 年給 1 個月、逾 60 歲後之年資最多計入 5 年)試算給付金額。結果僅供參考,以勞保局、健保署核發之繳款單為準,不構成法律或會計建議。
Inputs: year, avgInsuredSalary, years, months, postSixtyMonths
calculate_old_age_pension依勞保老年年金法定公式(擇優兩式、提前/延後增減給每年 ±4%,上限 ±5 年(±20%))試算月領金額;年資未滿 15 年不符年金請領資格。結果僅供參考,以勞保局、健保署核發之繳款單為準,不構成法律或會計建議。
Inputs: year, avgInsuredSalary, years, months, claimOffsetMonths
calculate_old_age_single_payment依勞保一次請領老年給付法定公式(基數制:前 15 年每年 1 個基數、第 16 年起每年 2 個基數、60 歲前最高 45 個基數、逾 60 歲後年資每年 2 個基數最多計 5 年、合併最高 50 個基數)試算給付金額。適用 98 年前已有保險年資者。結果僅供參考,以勞保局、健保署核發之繳款單為準,不構成法律或會計建議。
Inputs: year, avgInsuredSalary, preSixtyYears, preSixtyMonths, postSixtyYears, postSixtyMonths
calculate_payroll計算台灣某月薪資的勞保(含就保)、健保、勞退、職災各方(員工/雇主/政府)負擔。支援不同身份別、眷屬、自提、部分工時。結果僅供參考,以勞保局、健保署核發之繳款單為準,不構成法律或會計建議。
Inputs: year, monthlySalary, identity, dependents, employmentInsurance, pensionSelfContribution
calculate_prorated計算月中到職或離職當月的破月保費。勞保/職保/勞退按日(30 日基準);健保採官方「月底歸屬」——到職當月計整月、離職當月不計。結果僅供參考,以勞保局、健保署核發之繳款單為準,不構成法律或會計建議。
Inputs: year, monthlySalary, identity, dependents, employmentInsurance, pensionSelfContribution
calculate_supplementary_premium計算二代健保補充保費(費率 2.11%)。bonus 課徵年度累計超過當月投保額 4 倍部分;其餘五類單次達門檻全額課(單次上限 1,000 萬)。結果僅供參考,以勞保局、健保署核發之繳款單為準,不構成法律或會計建議。
Inputs: year, type, amount, monthlyInsuredSalary, ytdBonus, rounding
list_years列出目前支援的年度、資料版本與基本工資(月薪/時薪)。計算前可先用本工具確認有效的 year 值。

Add 台灣勞健保勞退試算 to your AI client

Every block below points at https://taiwan-payroll.simoko.workers.dev/mcp. Pick your client and copy.

Claude Code: one command in your terminal
claude mcp add --transport http server https://taiwan-payroll.simoko.workers.dev/mcp
Claude Desktop: claude_desktop_config.json
{
  "mcpServers": {
    "server": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://taiwan-payroll.simoko.workers.dev/mcp"]
    }
  }
}
Cursor: ~/.cursor/mcp.json, or .cursor/mcp.json in a project
{
  "mcpServers": {
    "server": {
      "url": "https://taiwan-payroll.simoko.workers.dev/mcp"
    }
  }
}
VS Code and GitHub Copilot: .vscode/mcp.json
{
  "servers": {
    "server": {
      "type": "http",
      "url": "https://taiwan-payroll.simoko.workers.dev/mcp"
    }
  }
}
Zed: Zed settings.json
{
  "context_servers": {
    "server": {
      "url": "https://taiwan-payroll.simoko.workers.dev/mcp"
    }
  }
}
Windsurf: ~/.codeium/mcp_config.json
{
  "mcpServers": {
    "server": {
      "serverUrl": "https://taiwan-payroll.simoko.workers.dev/mcp"
    }
  }
}
JetBrains AI Assistant: Settings, Tools, AI Assistant, MCP, New MCP Server, as JSON
{
  "mcpServers": {
    "server": {
      "url": "https://taiwan-payroll.simoko.workers.dev/mcp"
    }
  }
}
Continue: .continue/mcpServers/neuronto.yaml
name: 台灣勞健保勞退試算
version: 0.0.1
schema: v1
mcpServers:
  - name: 台灣勞健保勞退試算
    type: streamable-http
    url: https://taiwan-payroll.simoko.workers.dev/mcp
Gemini CLI: ~/.gemini/settings.json
{
  "mcpServers": {
    "server": {
      "httpUrl": "https://taiwan-payroll.simoko.workers.dev/mcp"
    }
  }
}
Codex CLI: MCP server config
{
  "mcpServers": {
    "server": {
      "type": "http",
      "url": "https://taiwan-payroll.simoko.workers.dev/mcp"
    }
  }
}
Warp: MCP servers, + Add, paste JSON
{
  "mcpServers": {
    "server": {
      "url": "https://taiwan-payroll.simoko.workers.dev/mcp"
    }
  }
}
Goose: a one-click extension link
goose://extension?url=https%3A%2F%2Ftaiwan-payroll.simoko.workers.dev%2Fmcp&type=streamable_http&id=server&name=%E5%8F%B0%E7%81%A3%E5%8B%9E%E5%81%A5%E4%BF%9D%E5%8B%9E%E9%80%80%E8%A9%A6%E7%AE%97

Is 台灣勞健保勞退試算 up right now?

It answered our last check on 24 October 2026 in 210 ms. Over 6 checks since 11 September 2026 it answered 6. Status here comes from Neuronto's own probes, not from the publisher.

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Questions about 台灣勞健保勞退試算

How many tools does 台灣勞健保勞退試算 have?

9, as returned by the server's own tools/list on 21 September 2026: calculate_employer_supplementary_premium, calculate_income_tax_withholding, calculate_old_age_lump_sum, calculate_old_age_pension, calculate_old_age_single_payment, calculate_payroll, calculate_prorated, calculate_supplementary_premium, and 1 more.

Is 台灣勞健保勞退試算 down?

It answered our last check on 24 October 2026 in 210 ms. Over 6 checks since 11 September 2026 it answered 6.

How do I add 台灣勞健保勞退試算 to Cursor?

Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://taiwan-payroll.simoko.workers.dev/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.

Does 台灣勞健保勞退試算 need an API key?

It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.

Where this comes from

Publisher: io.github.supra126. Endpoint host: taiwan-payroll.simoko.workers.dev. ARD identifier: urn:air:io.github.supra126:mcp:taiwan-payroll. First indexed 10 September 2026. The tools are exactly what the server returned; nothing on this page is inferred from its name. Ranking in Neuronto search is never for sale.

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