Securely enable AI to manage files and automate workflows with Files.com MCP integration
Files.com Model Context Protocol (MCP) Server is a critical component that enables Large Language Models (LLMs), such as Claude and Continue, to interact directly with real-world operations within your Files.com environment. Unlike traditional static interactions, MCP provides dynamic access to cloud storage functions like file transfers, folder queries, user management, and other custom actions. This capability transforms AI applications into proactive agents capable of performing tasks as if they were part of a human workflow.
The Files.com MCP Server leverages a structured protocol to facilitate secure and controlled interaction between LLMs and the Files.com infrastructure. Key capabilities include:
MCP is designed with a robust architecture that ensures secure and reliable interactions. The protocol flow involves the LLM initiating an RPC request to the MCP server, which then acts on these requests by calling the appropriate functions within the Files.com API scope. This design maintains security while providing flexibility for various client configurations.
graph TD
A[AI Application] -->|MCP Client| B[MCP Protocol]
B --> C[MCP Server]
C --> D[Data Source/Tool]
style A fill:#e1f5fe
style C fill:#f3e5f5
style D fill:#e8f5e8
uv
by following its documentation or using a package manager like PyEnv.Imagine an internal chatbot fetching or archiving files by user request, ensuring productivity and minimizing manual file management tasks.
Example Scenario:
User: "Can you archive old project files from 2018?"
LLM: (Uses MCP to) Archive old project files from 2018.
Develop an LLM that reacts to incoming support requests by fetching or uploading necessary files. This integration streamlines customer service and reduces operational burden.
Example Scenario:
LLM: "Upon receiving a request from John Doe regarding Project XYZ, I will retrieve the necessary documents."
LLM: (Uses MCP to) Retrieve required documents for John Doe.
Enable dev-focused LLMs to manage environments by creating users and folders while troubleshooting or debugging via real-time file access.
Example Scenario:
Developer's Guide: "I need to create a test user within the development environment."
LLM: (Uses MCP to) Create a new user for testing purposes.
MCP is compatible with various AI applications, including:
MCP Client | Resources | Tools | Prompts | Status |
---|---|---|---|---|
Claude Desktop | ✅ | ✅ | ✅ | Full Support |
Continue | ✅ | ✅ | ✅ | Full Support |
Cursor | ❌ | ✅ | ❌ | Tools Only |
For development purposes, use uvx
to run the MCP server in STDIO mode.
FILESCOM_API_KEY="dummyKey" npx @modelcontextprotocol/inspector uv run -m files_com_mcp
Server-Sent Events (SSE) can be used for real-time interactions, with a local WebUI accessible through http://127.0.0.1:6274
.
FILESCOM_API_KEY="dummyKey" uv run -m files_com_mcp --mode server --port 12345
To configure the MCP for use with Claude Desktop, add the following snippet to your claude_desktop_config.json
:
{
"mcpServers": {
"files_com_mcp": {
"type": "stdio",
"command": "uv",
"args": [
"--directory",
"/path/to/folder-containing-files_com_mcp",
"run",
"-m",
"files_com_mcp"
],
"env": {
"FILES_COM_API_KEY": "CHangeME"
}
}
}
}
Why does my LLM experience inconsistent tool usage?
How do I configure an MCP server for specific tasks?
claude_desktop_config.json
) with appropriate mcpServers
settings to match your needs.Can multiple MCP clients interact with this server simultaneously?
How do I troubleshoot issues related to API key errors?
Does the MCP server support real-time updates for file changes?
Contributions to the MCP ecosystem are highly encouraged! To get started:
git clone https://github.com/FilesCom/files-com-mcp-server.git
uv
and necessary dependencies.Explore additional resources and support:
This comprehensive documentation positions the Files.com MCP Server as an essential tool for integrating AI applications into secure, efficient workflows while ensuring compliance and ease of use.
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