AI-Assisted Engineering for Data Streaming
Connect LLMs, Agents and Kafka - through Lenses MCP.
Happily ever faster
Lenses MCP Server connects your AI copilots and agents directly to your Kafka infrastructure & data.
Now anyone can explore, admin, configure, govern real-time data through natural language - all without switching contexts from your IDE.
It also connects AI agents with real-time context from Kafka - so they can understand what’s happening now and take the right action.
All protected by enterprise-grade multi-Kafka governance and powered by the SQL engine.
Still data streaming, but 100x faster
For Platform Engineers
- Automate the governance of an entire Kafka fleet through a prompt
Add Context...
my-app.py
For Developers
- Use natural language to describe full data pipelines
Lenses MCP - the bridge between AI agents and real-time data
Connects AI & data streaming
Lenses MCP standardizes how LLMs and agents can interact with Kafka, tools and APIs to take action on real-time data.
Enables AI-assisted engineering
Transform engineering workflows with real-time data and natural language. Empower business teams to self-serve without waiting on engineering.
Unlocks agentic architectures
Allows AI systems to interact with each other.
Modernize faster with the Lenses AI stack
Lenses unites AI and data streaming to help teams build and operate intelligent real-time systems. Through the Lenses MCP (Model Context Protocol), Lenses connects LLMs, Agents, and Kafka - enabling engineering workflows with AI-assisted tools for real-time context engineering.
Lenses MCP Server
Lenses AI Agents
See the SRE Agent in action
Detect problematic Kafka message patterns automatically.
Diagnose a stalled Kafka consumer by asking a simple question.
Get Kafka troubleshooting recommendations that solve problems at their source.
Reza BanikazemiVP of Engineering at Arity“Integrating Lenses MCP into our engineers’ AI code editors allows them to remove much of the complexity and streaming domain knowledge required to build real-time systems.”