Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
Manage Jitsu data pipelines: destinations, streams, connections, functions, live events.
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。
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。
选择你使用的 AI 应用,然后复制设置。
你需要
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 …”。
适用于网页版、桌面版和手机版 Claude:
https://use.jitsu.com/mcp在终端中运行这条命令
claude mcp add --transport http jitsu https://use.jitsu.com/mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"jitsu": {
"url": "https://use.jitsu.com/mcp"
}
}
}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。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"jitsu": {
"type": "http",
"url": "https://use.jitsu.com/mcp"
}
}
}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。
ChatGPT 只能连接互联网上的服务器:
https://use.jitsu.com/mcp菜单名称可能因套餐和版本不同而略有差异。
你的选择通过 Cookie 保存在这台设备上,无需账户。
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。
我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。
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6日
注册名称已通过域名 jitsu.com 验证(注册中心会核实域名所有权)
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
尚未检查;我们会在检查端点时读取工具列表
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。
它在 1 项适用的基础检查中通过了 1 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。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(1.0.0)于3个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:Spec Driven Development, Remote Desktop Commander, yontu
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Türkçe yazı denetimi: TDK kuralları, yapay zekâ izleri, metin türüne göre üslup.
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。
Open-source event data platform. An alternative to Segment.
Website · Docs · MCP Server · Jitsu Cloud · Self-hosting · Slack · MIT License
Jitsu collects event data from your websites, apps and servers, and delivers it to your data warehouse and to whatever other tools you use. It covers the same ground as Segment, but it's MIT-licensed and self-hostable, so the whole pipeline can run inside your own infrastructure — or on Jitsu Cloud, same software, hosted.
Data lands in minutes, not hours: Segment loads warehouses once or twice a day (hourly at best), while Jitsu delivers per destination in batches as frequent as a minute, or row-by-row where that suits the destination. And where Segment bills by Monthly Tracked User, Jitsu Cloud bills by event volume, so the bill tracks data rather than audience size — while self-hosting has no usage billing at all.
A typical Jitsu setup gives you:
jitsu-cli init scaffolds a TypeScript project with tests, and jitsu-cli deploy ships it to your workspace. Use whatever tooling you like: TypeScript, npm libraries, your own test suite, and your normal CI.The fastest way to run Jitsu is [Jitsu Cloud](https://use.jitsu.com) — we host and scale it for you.
See pricing for the full breakdown, or jump straight into the Quick Start guide.
Once you have a workspace:
| Method | Use it for |
|---|---|
| HTML snippet | Any website, no build step |
@jitsu/js | Isomorphic — works in the browser and in Node.js |
@jitsu/jitsu-react | React and Next.js apps |
| HTTP API | Any language, backend services |
| Segment proxy | Migrating off Segment without touching client code |
Everything the UI does is also available through the Management API and the Jitsu CLI.
Jitsu ships a Model Context Protocol server, so coding agents and AI assistants can build and operate your data pipelines directly — no clicking through the UI.
An agent connected to Jitsu can set up a destination, wire a connection, send a test event, read the resulting Live Events, notice that a function threw, fix the function, and re-run it — the full loop, without a human in the middle.
Endpoint: https://use.jitsu.com/mcp (or /mcp when self-hosting).
Claude Code
claude mcp add --transport http jitsu https://use.jitsu.com/mcp
Other clients (Claude Desktop, Cursor, VS Code) take the same URL — see jitsu.com/docs/mcp for their setup.
Interactive clients use OAuth 2.1 — no API key to manage. The first tool call opens a browser tab asking you to approve the connection; tokens are scoped, listed, and revocable from your account settings page.
Headless environments (CI, cron, servers) use a personal API key instead — generate one on the user settings page and pass it as Authorization: Bearer : :
claude mcp add --transport http jitsu https://use.jitsu.com/mcp \
--header "Authorization: Bearer $JITSU_API_KEY"
25 tools, covering everything the console does: read and write workspace configuration (destinations, streams, connections, functions), query Live Events and function logs, run and cancel connector syncs, discover source streams and inspect sync state, execute functions and profile builders against test data, and pull event and sync statistics. Full reference: jitsu.com/docs/mcp.
Jitsu is a handful of independently scalable services:
| Service | Stack | What it does |
|---|---|---|
| ingest | Go | HTTP endpoint that accepts events and writes them to Kafka |
| rotor | TypeScript | Routes events, runs Functions, applies destination-specific transforms |
| bulker | Go | High-throughput warehouse ingestion — batching, schema management, retries |
| sync-controller | Go | Orchestrates connector syncs (pulling data from third-party sources) |
| console | Next.js | Admin UI, Management API, and the MCP server |
Backed by Postgres (configuration), Kafka/Redpanda (event bus), ClickHouse (live events and metrics), and MongoDB (profiles).
Bulker is also usable standalone if you just want a warehouse ingestion engine and are comfortable with low-level APIs.
Jitsu is MIT-licensed and fully self-hostable, with no usage limits and no feature gating. Cloud is the path of least resistance; self-hosting is for when you need the data to stay inside your own infrastructure.
The development Helm chart is the recommended way to get a complete stack running locally. You'll need Minikube (a single-node Kubernetes cluster on your machine) and Helm v3+:
git clone -b newjitsu --single-branch https://github.com/jitsucom/jitsu
cd jitsu/helm
minikube start # give the VM at least 8GB RAM ./dev-deploy.sh deploy ./dev-deploy.sh tunnel # in a second terminal
./dev-deploy.sh tunnel runs minikube tunnel, which routes the cluster's LoadBalancer services to localhost so you can reach them from your browser — console on :3000, ingest on :3049, bulker on :3042, rotor on :3401, plus Postgres, ClickHouse, MongoDB and Kafka. It asks for sudo (it binds privileged ports) and has to keep running in its own terminal for the whole session.
The console will be at http://localhost:3000. Full instructions: Self-hosting Quick Start.
For real deployments, read the Production Deployment guide and the Configuration Reference. It covers scaling each service, Kafka sizing, and the environment variables every component reads.
Contributions are welcome. CONTRIBUTING.md covers the repository layout, how to set up a development environment and run the test suites, and the branch, commit and pull request conventions.
Jitsu is licensed under the MIT License.