Manage Jitsu data pipelines: destinations, streams, connections, functions, live events.
com.jitsu/mcp Model Context Protocol (MCP) Server
The com.jitsu/mcp MCP server manages Jitsu data pipelines by handling destinations, streams, connections, functions, and live events. It is designed to support developer access to pipeline components through MCP tools related to these areas.
๐ ๏ธ Key Features
Manage destinations
Manage streams
Manage connections
Manage functions
Handle live events
๐ Use Cases
Configure and manage Jitsu data pipeline destinations
Define and manage streams for data flow
Establish and manage connections for pipeline integration
Manage pipeline functions
Process or monitor live events from running pipelines
โก Developer Benefits
Centralized MCP access to Jitsu pipeline components: destinations, streams, connections, functions, live events
โ ๏ธ Limitations
Available information describes scope only; no details on supported tool behaviors, parameters, or transport options.
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 โ
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 โ while self-hosting has no usage billing
at all.
Delivery to destinations โ 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 โ 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 โ 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.
Connector syncs โ 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 โ 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.
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Get started with Jitsu Cloud
The fastest way to run Jitsu is Jitsu Cloud โ 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.
Jitsu ships a Model Context Protocol server, so coding agents and
AI assistants can build and operate your data pipelines directly โ 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 โ 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
bash
claude mcp add --transport http jitsu https://use.jitsu.com/mcp
Other clients (Claude Desktop, Cursor, VS Code) take the same URL โ see
jitsu.com/docs/mcp for their setup.
Authentication
Interactive clients use OAuth 2.1 โ 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 โ generate one on the user
settings page and pass it as Authorization: Bearer <keyId>:<keySecret>:
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
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+:
bash
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 โ 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.
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 โ the fastest way to reach the team and other users