# local_lense

> Use this tool when you need to perform semantic searches across local documentation and knowledge bases, solving problems of information retrieval and discovery in various file formats. Local_lense enables AI tools to intelligently query and retrieve information through its MCP interface, using vector embeddings and Qdrant for accurate results. It is ideal for use cases where local documentation search is required, providing inputs of markdown, HTML, and other files, and outputting relevant information and answers.

Canonical page: https://skillsregistry.net/skills/jaxsbr-local-lense  
JSON: https://api.skillsregistry.net/v1/skills/jaxsbr-local-lense

## Description

A local RAG-powered documentation search system that uses vector embeddings and Qdrant to enable semantic search across markdown, HTML, and other file formats. It provides an MCP interface for AI tools like Cursor to intelligently query and retrieve information from local knowledge bases.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lsiuuki9im)
- **Repository:** <https://github.com/Jaxsbr/local_lense>

## 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": "jaxsbr-local-lense"
    }
  }
}
```

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