# SurgicalFS

> Use this tool when you need to efficiently manage and manipulate files with precise control, solving problems such as slow file access and excessive data transfer. SurgicalFS provides a high-performance filesystem server with 47 specialized tools for read/write operations, supporting various file formats like JSON, CSV, and PDF. It offers a compact interface with partial file reads and summary outputs, ideal for applications requiring optimized data handling and minimized token usage.

Canonical page: https://skillsregistry.net/skills/wonker007-surgicalfs  
JSON: https://api.skillsregistry.net/v1/skills/wonker007-surgicalfs

## Description

A high-performance filesystem MCP server built in Rust, designed as a context-efficient replacement for standard filesystem servers. Provides 47 tools for surgical read/write operations, partial file reads with response budgets, and structured format support for JSON, CSV, XLSX, PDF, and DOCX files. Minimizes token usage by returning compact summaries rather than full file contents.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/wonker007-surgicalfs)
- **Repository:** <https://github.com/wonker007/surgicalfs-mcpserver>

## 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": "wonker007-surgicalfs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wonker007-surgicalfs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wonker007-surgicalfs/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