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Files-com

Files.com MCP Server

MCP Server

Secure AI-Driven File Operations

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About

The Files.com MCP Server lets large language models perform authenticated file transfers, metadata queries, and user management within the Files.com platform, enabling AI agents to act as secure file operation assistants.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Overview

The Files.com MCP Server bridges large language models with the full power of a modern, secure file‑transfer platform. It solves the problem of giving AI assistants controlled access to real‑world file operations—uploading, downloading, querying metadata, and managing users—without exposing the underlying credentials or risking accidental data leaks. By presenting Files.com’s rich API surface as a set of authenticated, auditable tools, the server turns an LLM from a passive conversational partner into an active participant in your file‑centric workflows.

For developers, this means that an assistant can now act on behalf of the team: automatically archive logs when a ticket is closed, fetch a CSV for analysis, or provision a new folder for a project—all within the same conversation that started with a natural‑language request. The MCP wrapper ensures every operation is logged, rate‑limited, and scoped to the permissions granted by the API key, giving you the same security posture you already rely on in your infrastructure.

Key capabilities are exposed through a concise set of tools:

  • Transfer – move files between cloud and on‑prem systems with a single command.
  • Query – retrieve folder listings or file metadata to inform decisions.
  • Manage Users – create, update, or delete user accounts programmatically.
  • Automate Workflows – trigger archival, sharing, or other business processes as part of a larger LLM routine.

Real‑world use cases include:

  • Operations chatbots that pull or move files in response to support tickets.
  • Automated incident responses where an AI agent retrieves logs, uploads diagnostics, and notifies stakeholders.
  • Developer copilots that provision environments, manage storage buckets, or debug file‑related issues on demand.

Integration is straightforward: the MCP server runs as a local process (e.g., via ), exposing its tools to any LLM client that supports the Model Context Protocol. Once connected, the assistant can invoke these tools just like any other function call, with full transparency into request payloads and responses. This tight coupling eliminates the need for custom wrappers or middleware, letting developers focus on business logic rather than plumbing.

What sets Files.com MCP apart is its combination of enterprise‑grade security, native protocol support (SFTP, FTPS, AS2), and a unified API that already handles authentication, auditing, and compliance. By leveraging this server, teams can confidently empower AI assistants to perform real actions—moving files, managing users, automating workflows—while retaining the same controls they use today.