# LensHub

> LensHub — ai-lenshub-lenshub. Use this tool when you need to unify team knowledge from multiple sources and serve it to AI agents in a controlled manner. LensHub solves the problem of information fragmentation by aggregating data from 20 connectors, classifying and scoring it, and providing access control. It is ideal for use cases where secure and organized knowledge sharing is crucial, with inputs from various connectors and outputs to MCP agents.

Canonical page: https://skillsregistry.net/skills/ai-lenshub-lenshub  
JSON: https://api.skillsregistry.net/v1/skills/ai-lenshub-lenshub

## Description

Team knowledge from 20 connectors, served to any MCP agent — classified, scored, access-controlled.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 0.4.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.lenshub%2Flenshub)

## Use it

MCP endpoint published by the skill: `https://app.lenshub.ai/mcp`

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": "ai-lenshub-lenshub"
    }
  }
}
```

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