MCP Server: Seamless Storage & Scalable Workflows

Effortless AI model management with MCP Server’s Filesystem Implementation—seamless storage, scalable workflows, and smart data integration. Your models, optimized." )

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About MCP Server

What is MCP Server: Seamless Storage & Scalable Workflows?

MCP Server acts as a bridge between AI tools and your local filesystem, enabling secure, bidirectional data exchange via the Model Context Protocol (MCP). Built with Go and the Echo framework, this educational implementation lets developers prototype workflows that interact with files and directories—think of it as a playground for building smarter, data-driven applications without leaving your local environment.

How to Use MCP Server: Seamless Storage & Scalable Workflows?

Get started in minutes:

Install Go 1.24+ and clone the repo
Run go mod tidy to fetch dependencies
Launch the server with go run main.go (default port 8080)

Interact via RESTful endpoints like /v1/call-tool to list directories, read files, or execute deletions—curl examples included in our quickstart!

MCP Server Features

Key Features of MCP Server: Seamless Storage & Scalable Workflows?

Unlock a versatile toolkit:

Filesystem Provider: Treat directories/files as MCP resources with granular control
Action-Powered Tools:
- filesystem.list – Discover directory contents recursively
- filesystem.read – Fetch file contents with path validation
- filesystem.write – Overwrite or create files securely
- filesystem.delete – Safely purge files/dirs with safeguards
Resource Models: Structured representations for files (filesystem.file) and directories (filesystem.directory)

Use Cases of MCP Server: Seamless Storage & Scalable Workflows?

Perfect for scenarios where AI needs to:

Process batches of documents while maintaining version history
Automate workflows that require file system introspection
Train models with data from dynamically changing directories
Create sandboxed environments for testing file operations

MCP Server FAQ

FAQ from MCP Server: Seamless Storage & Scalable Workflows?

Is this ready for production?
While battle-tested in educational scenarios, production use requires adding authentication, rate limiting, and audit logging. Treat this as the foundation to build upon.

Can I extend the toolset?
Absolutely! The modular design lets you add custom tools/resources while retaining core MCP compatibility.

Does it support remote file systems?
Currently focused on local filesystem access, but the protocol allows expanding to cloud/SFTP backends with custom providers.

Where's the community?
Check our official forums for discussions and GitHub for code contributions.

Content

Model Context Protocol (MCP) Server - Filesystem Implementation

This is an educational implementation of a Model Context Protocol (MCP) server in Go using the Echo framework. The server provides access to the local filesystem through the MCP protocol.

Overview

The Model Context Protocol (MCP) is an open standard that enables developers to build secure, two-way connections between their data sources and AI-powered tools. This implementation demonstrates how to create an MCP server that provides access to the local filesystem.

Features

Filesystem Provider : Provides access to the local filesystem through MCP tools and resources
Tools :
- filesystem.list: Lists the contents of a directory
- filesystem.read: Reads the contents of a file
- filesystem.write: Writes content to a file
- filesystem.delete: Deletes a file or directory
Resources :
- filesystem.file: Represents a file in the filesystem
- filesystem.directory: Represents a directory in the filesystem

Security Considerations

This implementation includes basic path sanitization to prevent directory traversal attacks, but it is intended for educational purposes only. In a production environment, additional security measures would be necessary, such as:

User authentication and authorization
More robust input validation
Rate limiting
Audit logging
Sandboxing

Getting Started

Prerequisites

Go 1.24 or higher

Installation

Clone the repository
Install dependencies: go mod tidy
Run the server: go run main.go

The server will start on port 8080 by default. You can change the port by setting the PORT environment variable.

API Endpoints

GET /: Server information
POST /v1/discover: Discover server capabilities
POST /v1/call-tool: Call a tool
POST /v1/load-resource: Load a resource

Example Usage

Discover Server Capabilities

curl -X POST http://localhost:8080/v1/discover

List Directory Contents

curl -X POST http://localhost:8080/v1/call-tool \
  -H "Content-Type: application/json" \
  -d '{
    "tool_id": "filesystem.list",
    "request_id": "req-123",
    "params": {
      "arguments": {
        "path": "."
      }
    }
  }'

Read File Contents

curl -X POST http://localhost:8080/v1/call-tool \
  -H "Content-Type: application/json" \
  -d '{
    "tool_id": "filesystem.read",
    "request_id": "req-123",
    "params": {
      "arguments": {
        "path": "README.md"
      }
    }
  }'

License

This project is licensed under the MIT License - see the LICENSE file for details.

Disclaimer

This implementation is for educational purposes only and should not be used in production environments without proper security review and hardening.