Lets an AI agent configure Jitsu data pipelines, manage destinations, streams, connections, functions, and inspect live events.
Auch bekannt als jitsucom/jitsu
- Stars
- 5.135
- Tools
- —
- Downloads, 30 Tage
- —
- Neueste Version
- 1.0.0
- Letzter Commit
- 13. Nov. 2026
- Lizenz
- MIT
Was ist Jitsu MCP?
Jitsu ist ein MCP server. Lets an AI agent configure Jitsu data pipelines, manage destinations, streams, connections, functions, and inspect live events.
Zusammenfassung generiert aus dem README des Projekts
Über Jitsu MCP server
Managing event data pipelines and destination configurations is what Jitsu enables for developers through this MCP server. It allows AI agents to operate an open-source event data platform that serves as an alternative to Segment, handling everything from event collection to delivery into data warehouses like ClickHouse, BigQuery, Snowflake, and Redshift.
Users can connect this server to clients such as Claude Code, Claude Desktop, Cursor, or VS Code. For interactive sessions, the server uses OAuth 2.1 to authenticate via a browser, while headless environments like CI or cron use a personal API key. The server provides 25 tools that allow an agent to manage streams, connections, and functions, as well as inspect live events and function logs.
This setup is ideal for teams needing real-time data delivery, with batches as frequent as a minute. Whether you use the hosted Jitsu Cloud or self-host the entire stack on your own infrastructure, an AI agent can now automate the full lifecycle of configuring a destination, testing events, and debugging transformation functions without manual UI interaction.
Was du damit machen kannst
- 1Automate pipeline configurationAn AI agent can set up a new destination and wire a connection to a data stream automatically.
- 2Debug transformation functionsThe agent can identify errors in JavaScript functions by inspecting live logs and then apply fixes.
- 3Monitor real-time data flowDevelopers can task an AI with inspecting live events to ensure data is landing correctly in destinations.
- 4Manage third-party data syncsAn AI assistant can trigger or manage Airbyte-compatible connector syncs to pull data into a warehouse.
Geschrieben aus dem README des Projekts. Jeder Use Case wurde gegen ein Zitat daraus geprüft.
So installierst du Jitsu MCP
Formate geprüft am 10. Nov. 2026Jitsu MCP in Claude Code installieren
$ claude mcp add --transport http jitsu https://use.jitsu.com/mcpJitsu MCP in Cursor installieren
~/.cursor/mcp.json
{
"mcpServers": {
"jitsu": {
"url": "https://use.jitsu.com/mcp"
}
}
}Jitsu MCP in VS Code installieren
.vscode/mcp.json
{
"servers": {
"jitsu": {
"type": "http",
"url": "https://use.jitsu.com/mcp"
}
}
}Jitsu MCP in Codex installieren
~/.codex/config.toml
[mcp_servers.jitsu] url = "https://use.jitsu.com/mcp"
Jitsu MCP in Gemini CLI installieren
~/.gemini/settings.json
{
"mcpServers": {
"jitsu": {
"httpUrl": "https://use.jitsu.com/mcp"
}
}
}Automatisierte Checks
Geluften am 12. Nov. 2026Vollständiger Bericht →Unsere automatisierten Checks bestanden. Das ist kein Security-Audit: Lies den Code und gib dem Server nur den minimal notwendigen Zugriff. Wie die Checks funktionieren
- Source Repository verknüpft und erreichbarBestanden
- Open Source Lizenz (OSI)Bestanden
- Commit oder Release im letzten JahrBestanden
- Package-Name ähnelt keinem populären PackageNicht geprüft
- Remote Endpoint nutzt HTTPSBestanden
- Destruktive Tools sind markiertNicht geprüft
- Keine versteckten Anweisungen an das ModellBestanden
- Kein kritischer Hinweis im Paket oder seinen AbhängigkeitenNicht geprüft
README
Auf GitHub ansehenWhat is Jitsu?
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:
- Event collection from the browser, mobile, or the server, via SDKs, an HTTP API, or a drop-in Segment proxy.
- Delivery to destinations — ClickHouse, BigQuery, Snowflake, Redshift, Postgres, S3, GCS, and dozens of SaaS tools, streamed or micro-batched depending on what the destination prefers. See the destination catalog.
- Functions — JavaScript that runs on every event to filter,
transform, and enrich it before delivery.
- Write them in the browser, or build and deploy them from your own repo with the
Jitsu CLI —
jitsu-cli initscaffolds a TypeScript project with tests, andjitsu-cli deployships it to your workspace. Use whatever tooling you like: TypeScript, npm libraries, your own test suite, and your normal CI.
- Write them in the browser, or build and deploy them from your own repo with the
Jitsu CLI —
- Connector syncs — pull data into your warehouse from third-party sources (Airbyte-compatible connectors).
- A user identity graph and profile builder, built automatically from the event stream.
- Live Events — see every event, function log and destination write as it happens, which makes debugging a pipeline a matter of seconds rather than days.
- An MCP server, so an AI agent can configure and operate all of the above.
Get started with Jitsu Cloud
The fastest way to run Jitsu is Jitsu Cloud — we host and scale it for you.
- Free tier: 200k events/month, no credit card required.
- Unlimited destinations and unlimited captured events on every plan.
- A free ClickHouse instance is included, so you can go from zero to queryable event data without provisioning a warehouse first.
- Custom domains, events debugger, and the Configuration API on the free tier too.
See pricing for the full breakdown, or jump straight into the Quick Start guide.
Once you have a workspace:
- Create a site (a stream) and grab your write key.
- Add a destination — ClickHouse, BigQuery, Snowflake, Postgres, S3, or anything from the catalog.
- Start sending events using one of the methods below.
Sending events
| 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 MCP Server
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 <your-console-url>/mcp when self-hosting).
Connect your client
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.
Authentication
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 <keyId>:<keySecret>:
claude mcp add --transport http jitsu https://use.jitsu.com/mcp \
--header "Authorization: Bearer $JITSU_API_KEY"
What the agent can do
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.
Architecture
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.
Self-hosting
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.
Quick start (Kubernetes / Minikube)
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.
Production
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.
Contributing
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.
Community & support
- Slack — the fastest way to reach the team and other users
- GitHub Issues — bugs and feature requests
- Docs — guides and reference
License
Jitsu is licensed under the MIT License.
Jitsu MCP Fragen
Wie füge ich Jitsu MCP zu Claude Code hinzu?
Führe claude mcp add --transport http jitsu https://use.jitsu.com/mcp in deinem Terminal aus. Füge --scope user hinzu, damit der Server in jedem Projekt verfügbar ist.
Wie füge ich Jitsu MCP zu Cursor hinzu?
Öffne ~/.cursor/mcp.json und füge den Server unter mcpServers hinzu, mit der Cursor-Config aus dem Installationsabschnitt oben.
How does Jitsu MCP authentication work?
Interactive clients use OAuth 2.1 with revocable, scoped tokens; headless environments pass a personal API key as a Bearer token.
What can an AI agent do with the Jitsu MCP server?
It can read and write workspace configuration, query live events and function logs, run connector syncs, and execute functions against test data.
How many tools does the Jitsu MCP server expose?
It exposes 25 tools covering the same capabilities as the Jitsu console.
Can I use Jitsu MCP with Claude Code?
Yes, add it with the claude mcp add command using the HTTP transport and the Jitsu MCP URL.