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Squid

Enterprise Software Development Automation Platform

Let AI manage your entire development workflow.
From ticket creation to delivery — fully automated.

Does Your Development Team Face These Challenges?

Tickets created, but
nobody tracks progress

Chasing down code reviews
and waiting anxiously

Uncertain which features
were actually completed

→ Squid makes all of this happen automatically.

AI Can Write Code. What's Next?

Let AI participate in the entire development process.

Software Development Automation

1

Requirement

2

Ticket

3

Development

4

Review

5

Delivery

AI agents can participate at every stage

Auto-create requirements and assign tasks
Track development progress and update status
Perform code reviews and quality control
Validate completion and generate reports

From Individual to Enterprise

👤

Individual

Traditional: one AI assistant per person

Squid: AI agents integrated into the dev workflow

👥

Team

Traditional: everyone using different tools

Squid: unified platform, seamless collaboration

🏢

Enterprise

Traditional: hard to scale

Squid: standardized processes, enterprise-scale deployment

Built for Teams

Multi-Tenant Architecture

  • • One platform, multiple teams
  • • Data isolation and access control

Standardized Processes

  • • Unified requirement format
  • • Consistent quality standards
  • • Full development audit trail

Scalable Deployment

  • • From 5-person teams to 500-person enterprises
  • • API integration and automation hooks

Platform Features

Requirement Management

  • ✓ Create development tasks
  • ✓ Status workflow tracking
  • ✓ Milestone management

Project Collaboration

  • ✓ Multi-project management
  • ✓ GitHub / Gitea dual-platform
  • ✓ Ticket status drives branch/PR creation

Quality Control

  • ✓ Review report system
  • ✓ 140-point scoring system
  • ✓ Completion verification

Ticket-Driven Git Integration

When ticket status changes, Git follows automatically

in_progress
Auto-Create Branch
feature/202603030001

Development starts, feature branch automatically cut from main

pending_review
Auto-Open PR
Ready for Review

Review stage begins, pull request created automatically

completed
Auto Comment Notification
✓ Reviewed & Approved

Ticket completed, review result automatically posted on PR

Supported Platforms

GitHub Gitea (self-hosted)

Each project can independently use GitHub or Gitea. Ticket status only triggers enabled platforms.

What is MCP?

MCP (Model Context Protocol) is an open protocol developed by Anthropic that allows AI assistants to interact directly with external tools.

With MCP, Claude can open tickets, update progress, and trigger deployments on your behalf — no manual steps required.

How to Use

Connect via MCP (Model Context Protocol)

💬

Claude Desktop

⌨️

Claude Code CLI

🔌

MCP-compatible tools

Your AI Assistant + Squid = Dev Automation

View MCP Connection Guide

Deployment Options

Cloud Deployment

Hosted by HurricaneSoft — ready to use instantly, no infrastructure to maintain.

Contact Us

Self-Hosted Deployment

Deploy on your own servers for full data ownership and enterprise compliance.

Contact Us

Interface Preview

Real screens, exactly what you get

Squid Requirement Management Interface — ticket list, status filtering, priority management

Requirement management: ticket list, status filters (14 options), priority management, bulk operations

Flexible Pricing, Scale as You Grow

No complex contracts — pay based on your team's actual usage

🏢
Per Tenant

Each independent team (Tenant) is billed separately with full data isolation. Ideal for multi-department or multi-client deployments.

📊
Per API Usage

MCP tool calls and ticket operations are billed by actual usage. Zero usage means zero cost, with automatic scaling during peak periods.

🆕
Free Evaluation

We provide a trial environment so you can fully evaluate the platform before committing to a paid plan.

Request Free Evaluation

Pricing varies by deployment scale and requirements — contact us for a quote

Start Using Squid Today

Three steps: configure your MCP client, log in with OAuth2, and start working.