# Lenses

> Use this tool when you need to manage and explore data in Apache Kafka topics across multiple clusters using SQL, without requiring an additional database. It solves problems related to data transformation, joining, and analysis, and provides a unified interface for various Kafka distributions. Ideal for use cases involving real-time data processing and streaming analytics, Lenses accepts SQL queries as input and outputs transformed and analyzed data.

Canonical page: https://skillsregistry.net/skills/lenses  
JSON: https://api.skillsregistry.net/v1/skills/lenses

## Description

Manage and explore data in Apache Kafka topics across multiple clusters using SQL without requiring an additional database. Supports data transformation, joining, and works with various Kafka distributions including Confluent, MSK, and open-source Kafka via Lenses.io platform.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/lenses)
- **Repository:** <https://github.com/lensesio/lenses-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "lenses"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lenses` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lenses/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt