# com.files/python-mcp

> Use this tool when you need to securely integrate Large Language Models (LLMs) with your Files.com environment, enabling controlled access to real-world operations and file management. It solves problems related to automating file workflows, enhancing data security, and streamlining LLM interactions with external systems. The tool takes LLM inputs and outputs controlled file operations, making it ideal for use cases requiring automated file management and secure data processing.

Canonical page: https://skillsregistry.net/skills/com-files-python-mcp  
JSON: https://api.skillsregistry.net/v1/skills/com-files-python-mcp

## Description

Securely give LLMs controlled access to real-world operations inside your Files.com environment

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.files%2Fpython-mcp)
- **Repository:** <https://github.com/Files-com/files-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": "com-files-python-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-files-python-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-files-python-mcp/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
