Skip to content
MCP profile

Files Python Mcp

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

Developer ToolsPackagePythonOpen SourceExternal
Last updated
March 16, 2026
Visibility
Public
ByRegistry

About This MCP Server


Modern AI models like ChatGPT and Claude are no longer just answering questions—they’re taking action. With Files.com MCP, you can securely give LLMs controlled access to real-world operations inside your Files.com environment.

Whether it's uploading, downloading, querying folders, or managing users, MCP enables your AI agent to interact with your Files.com infrastructure as if it were an extension of your team—without compromising on security, auditability, or control.

Model Context Protocol (MCP) is a structured interface that lets Large Language Models call real APIs as part of their workflow. Think of it as a way to “hand tools” to the LLM—where the tools are real, authenticated functions from your Files.com environment.

When integrated via MCP, your LLM can:

MCP turns the LLM from a passive assistant into an active file operations agent.

Files.com is the modern platform for secure file transfer, automation, and storage integration. Used by thousands of enterprises, Files.com connects cloud apps, on-prem systems, and human workflows—all through a single, powerful interface.

With robust APIs, native protocol support (SFTP, FTPS, AS2, and more), and enterprise-grade access controls, Files.com is built to move your files—reliably, securely, and at scale.

Tools & Endpoints4

Specifications

Status
live
Industry
Developer Tools
Category
General
Server type
Package
Language
Python
License
Open Source
Verified
Yes

Requirements

  • Each LLM client has its own method for installing an MCP, and they typically provide specific instructions. Many clients follow a pattern similar to Claude, so our Claude example is a great starting point if you’re working with one of those.
  • For LLMs that require a more detailed or technical setup, our MCP is implemented in Python and available on PyPI: https://pypi.org/project/files-com-mcp/
  • If your LLM client needs you to supply execution details for our MCP, we recommend using uvx, as demonstrated in the Claude example. This approach ensures a smooth, reproducible setup with minimal effort.

Hosting


Hosting Options

  • Package

API


Integrate this server into your application. Choose a connection method below.

1

Install

Install command
Python
npx @modelcontextprotocol/inspector
2

Configure

Configuration
json
{
  "mcpServers": {
    "Files.com": {
      "type": "stdio",
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/folder-containing-files_com_mcp",
        "run",
        "-m",
        "files_com_mcp"
      ],
      "env": {
        "FILES_COM_API_KEY": "CHangeME"
      }
    }
  }
}

Performance


Usage


Quick Reference


Name
Files Python Mcp
Function
Securely give LLMs controlled access to real-world operations inside your Files.com environment
Available Tools
Authenticating with an API key is the recommended authentication method for most scenarios, and is the method used in the examples on this site., To use an API Key, first generate an API key from the [web interface](https://www.files.com/docs/sdk-and-apis/api-keys) or [via the API or an SDK](/python-mcp/resources/developers/api-keys)., Note that when using a user-specific API key, if the user is an administrator, you will have full access to the entire API. If the user is not an administrator, you will only be able to access files that user can access, and no access will be granted to site administration functions in the API., Don't forget to replace the placeholder, YOUR_API_KEY, with your actual API key.
Transport
Package
Language
Python
Install
npx @modelcontextprotocol/inspector
Source
External (Registry)
License
Open Source
Get started

Ready to integrate this MCP server?

Book a demo to see how this server fits your workflow, or explore the full catalog.

Related MCP Servers


Catalog Workspace

Discover agents, MCP servers, and skills in one governed surface

Use structured catalog views to compare readiness, ownership, integrations, and deployment posture before rollout.