lfx-confluent
IBM Confluent — the data-in-motion half of IBM's streaming lakehouse — as a standalone Langflow Extension Bundle. Everything talks to Confluent over open protocols only (Kafka wire protocol, the Tableflow Iceberg REST catalog, and MCP over Streamable HTTP), so the same components work against Confluent Cloud, Confluent Platform, and WarpStream wherever the corresponding surface is exposed.
What it ships
Four components, registered under the confluent bundle group:
- Confluent Real-Time Context Engine (
ConfluentContextEngineComponent, canonical IDext:confluent:ConfluentContextEngineComponent@official) — a preset MCP toolset for Confluent's Real-Time Context Engine. Templates the regional MCP endpoint from your organization / environment / cluster IDs, authenticates with a Confluent Cloud API key, and exposeslist_topics,get_metadata, andquery_datato an Agent (Tool Mode) or runs one tool directly (Response output). - Confluent Kafka Producer (
ConfluentKafkaProducerComponent) — publish a Message, a Data object, or every row of a DataFrame to a topic and return the delivery report. - Confluent Kafka Consumer (
ConfluentKafkaConsumerComponent) — read a bounded batch of records (message limit + timeout) into a DataFrame; JSON, string, Avro, and JSON-Schema (Schema Registry) values. - Confluent Tableflow Reader (
ConfluentTableflowReaderComponent) — read a Kafka topic that Tableflow has materialized as an Apache Iceberg table through the Tableflow Iceberg REST catalog (pyiceberg, no JVM), with a row filter, projection, and row limit; or list the tables in a cluster.
Built on confluent-kafka and
pyiceberg; the MCP component reuses
Langflow's own MCP client engine.
Install
pip install lfx-confluent
pip install "langflow[bundles]" also includes it.
Develop
The bundle is a uv workspace member of the Langflow monorepo:
uv sync
uv run pytest src/bundles/confluent/tests -q
uv run lfx extension validate src/bundles/confluent/src/lfx_confluent
To iterate on the components with a live palette:
uv run lfx extension dev src/bundles/confluent
Live smoke tests (marked api_key_required) need a Confluent Cloud
environment; see the test module docstrings for the environment variables
they read.
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