S
Swih/ritoko
Resumable browser, HTTP API and MCP automation for AI agents. Replay CSV/Excel batches, verify results and hold uncertain writes for review.
无 SECURITY.md
在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网
2026-11-14 实测:要求 Node >=24,多数环境的 Node 低于此版本,敲了起不来。
安装与配置
- 复制上面的命令
- 粘成
claude_desktop_config.json里mcpServers的一项(本地服务器用 command + args,示例见 客户端接法) - 重启客户端
客户端配置(取自该仓库的安装命令)
{
"mcpServers": {
"swih-ritoko": {
"command": "npx",
"args": ["--yes", "--prefer-online", "ritoko@latest", "mcp"]
}
}
}解析自我们于 2026-10-26 抓取的该仓库 README;我们未执行过。
command/args 来自仓库写明的安装命令;不确定时请以该项目 README 为准。
VS Code(.vscode/mcp.json —— 键名是 servers)
{
"servers": {
"swih-ritoko": {
"command": "npx",
"args": ["--yes", "--prefer-online", "ritoko@latest", "mcp"]
}
}
}VS Code 顶层键是 <code>servers</code>,其余与上面那份相同。
Claude Code(命令行)
claude mcp add --transport stdio swih-ritoko -- npx --yes --prefer-online ritoko@latest mcp
Claude Code 不收 JSON 文件,用这条命令直接加。
配置项的键名以你的客户端为准:客户端与 CLI
- ★ 数取值
- 1 ★ · Swih/ritoko · 取自 GitHub 搜索 API · (2026-11-13 20:00:50 核对)
- 来源明细
- 收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
- 收录与活跃
- 收录于 2026-10-23 · 最近见到 2026-11-14 · 共见到 26 次 · 被 23 个来源列出
- 评分构成
- 综合分 2,300 · 1 ★ · 23 个来源 · mcp
- 安装
npx --yes --prefer-online ritoko@latest mcp
常见问题(答案都来自我们的记录)
怎么安装?
该仓库给出的安装命令是
npx --yes --prefer-online ritoko@latest mcp。我们的记录里它是仓库自己提供的;不保证在你的客户端上直接可用。它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库
Swih/ritoko;我们收录于 2026-10-23;最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。# Ritoko — resumable browser automation for AI agents
以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →
Solve a task once. Save the procedure. Run it again with new data.
Ritoko is an open-source browser automation and robotic process automation (RPA) tool for AI agents. Turn a solved task into a reusable browser, HTTP API or MCP workflow, run CSV or Excel batches, verify results and resume interrupted work with a local SQLite journal.
Use it as a Claude Code or Codex plugin, a local Model Context Protocol (MCP) server, or a standalone CLI. The direct replay engine runs saved workflows without calling an LLM; a connected MCP tool may itself use AI.
Try locally · Quick start · Use cases · How it works · Workflow example · FAQ · Advanced guide
Watch the 34-second demo — real-time execution against a local test application. Kill the process after the fifth submission, resume, then rerun the same CSV: 10 submissions received, 10 unique, one row still awaiting confirmation. Recorded results and environment.
## Why use Ritoko?
An agent can figure out how to enter a customer, download a report or call a business tool. A recurring batch also needs an input format, a rule for identifying each record, a success check and a way to recover after interruption.
Ritoko keeps those decisions in a reusable procedure:
Reuse the work. Save parameters, selectors, API calls and verification rules in a readable JSON workflow.
Process new data. Feed the procedure another CSV or Excel file instead of explaining the same steps for every row.
Recover with evidence. See which items finished, failed or have an uncertain outcome. Confirmed items are skipped on later runs; uncertain writes are held for review.
With a configured destination lookup, Ritoko can also check before creating a record (ensure) and settle an uncertain result by reading it back (reconcile). These 0.2.0 features require a direct HTTP GET or a trusted, explicitly read-only MCP tool, with separate rules proving presence and absence. A failed lookup blocks the row. Configuration and limits.
For example: teach your agent to create one customer, save customer-import, then ask it to process next week's spreadsheet and report each result.
## What can you automate?
| Task | Input | What the workflow does |
| Customer or supplier onboarding | CSV / Excel rows | Fill forms, submit each record and check its identifying details |
| Recurring report downloads | Account and period parameters | Open the report, wait for it and save the downloaded file |
| Back-office data exports | An HTML or ARIA table | Extract the rendered table to CSV for a later batch |
| HTTP API operations | Rows, parameters and environment-backed credentials | Send requests, check status and JSON results, save response files |
| Existing MCP tools | Rows and tool arguments | Call tools and check their returned data under the same journal rules |
| Mixed browser and API tasks | A spreadsheet plus workflow parameters | Pass saved values and files between supported browser, HTTP and MCP steps |
Ritoko fits repeated tasks with explicit rules and verifiable outcomes. A new task still needs an agent or a workflow author to understand the site and define the procedure.
## Quick start
### Try ten fake customers locally
Ritoko is an open-source browser automation and robotic process automation (RPA) tool for AI agents. Turn a solved task into a reusable browser, HTTP API or MCP workflow, run CSV or Excel batches, verify results and resume interrupted work with a local SQLite journal.
Use it as a Claude Code or Codex plugin, a local Model Context Protocol (MCP) server, or a standalone CLI. The direct replay engine runs saved workflows without calling an LLM; a connected MCP tool may itself use AI.
Try locally · Quick start · Use cases · How it works · Workflow example · FAQ · Advanced guide
Watch the 34-second demo — real-time execution against a local test application. Kill the process after the fifth submission, resume, then rerun the same CSV: 10 submissions received, 10 unique, one row still awaiting confirmation. Recorded results and environment.
## Why use Ritoko?
An agent can figure out how to enter a customer, download a report or call a business tool. A recurring batch also needs an input format, a rule for identifying each record, a success check and a way to recover after interruption.
Ritoko keeps those decisions in a reusable procedure:
Reuse the work. Save parameters, selectors, API calls and verification rules in a readable JSON workflow.
Process new data. Feed the procedure another CSV or Excel file instead of explaining the same steps for every row.
Recover with evidence. See which items finished, failed or have an uncertain outcome. Confirmed items are skipped on later runs; uncertain writes are held for review.
With a configured destination lookup, Ritoko can also check before creating a record (ensure) and settle an uncertain result by reading it back (reconcile). These 0.2.0 features require a direct HTTP GET or a trusted, explicitly read-only MCP tool, with separate rules proving presence and absence. A failed lookup blocks the row. Configuration and limits.
For example: teach your agent to create one customer, save customer-import, then ask it to process next week's spreadsheet and report each result.
## What can you automate?
| Task | Input | What the workflow does |
| Customer or supplier onboarding | CSV / Excel rows | Fill forms, submit each record and check its identifying details |
| Recurring report downloads | Account and period parameters | Open the report, wait for it and save the downloaded file |
| Back-office data exports | An HTML or ARIA table | Extract the rendered table to CSV for a later batch |
| HTTP API operations | Rows, parameters and environment-backed credentials | Send requests, check status and JSON results, save response files |
| Existing MCP tools | Rows and tool arguments | Call tools and check their returned data under the same journal rules |
| Mixed browser and API tasks | A spreadsheet plus workflow parameters | Pass saved values and files between supported browser, HTTP and MCP steps |
Ritoko fits repeated tasks with explicit rules and verifiable outcomes. A new task still needs an agent or a workflow author to understand the site and define the procedure.
## Quick start
### Try ten fake customers locally
收录徽章(可选)
想把收录标记放进 README 就复制这行,可选,不影响收录。
[](https://anclum.com/zh/s/swih-ritoko/)
- 来源
- awesome · https://github.com/Swih/ritoko
- 按领域浏览
- MCP 服务
- Traction
- 1 ★
- 收录来源
- 23 个独立来源
- 收录于
- 今天
- 安全策略
- 我们没在该仓库根目录找到
SECURITY.md(这不代表不安全)
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所属领域与标签
每个标签都能点进去看同类的全部条目。数字是当前库里的真实条数。