# mcp-file-lens

> Use this tool when you need to efficiently navigate and understand codebases with minimal noise, or when requiring secure access to directory structures and files. The mcp-file-lens tool solves problems related to codebase exploration, file searching, and directory listing, providing inputs such as directory paths and search queries, and outputs like file contents and search results. It is particularly useful in contexts where large codebases need to be analyzed or searched, such as in software development or AI model training.

Canonical page: https://skillsregistry.net/skills/solatis-mcp-file-lens  
JSON: https://api.skillsregistry.net/v1/skills/solatis-mcp-file-lens

## Description

An MCP server that provides a flexible lens into directory structures and files, enabling LLM clients to efficiently navigate and understand codebases with minimal noise. It offers secure, gitignore-aware file access with tools like directory listing, file reading, and grep-like search.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wdqzslttw0)
- **Repository:** <https://github.com/solatis/mcp-file-lens>

## 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": "solatis-mcp-file-lens"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/solatis-mcp-file-lens` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/solatis-mcp-file-lens/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