Platform Overview
Backstack is an AI toolkit that helps organizations deploy, manage, and secure AI tools and resources across their teams.What is Backstack?
Backstack provides a centralized platform for managing AI infrastructure at the organizational level. Instead of individuals managing their own AI tools and API keys, organizations can:- Install tools once, make them available to everyone
- Control access with role-based permissions and security policies
- Monitor usage across teams with analytics and audit logs
- Secure AI interactions with compliance policies and client restrictions
Core Concepts
Organizations
An organization is your team’s workspace in Backstack. It provides:- Team member management with role-based access control
- Shared AI tools and services available to all members
- Security policies and compliance controls
- Usage analytics and audit trails
Workspaces
Workspaces organize tools, resources, and team members into logical groups:- Tools - Executable actions and integrations (MCP servers)
- Resources - Data sources and context (documents, databases)
- Members - Team members with specific access permissions
- Settings - Visibility, permissions, and configuration
MCP (Model Context Protocol)
MCP is an open protocol that connects AI clients to tools and resources. Backstack acts as an MCP server, providing your AI clients with access to:- Organization-installed tools (npm packages and remote servers)
- Shared documents and knowledge bases
- Security-validated operations
Tools & Services
Tools are the actions your AI can perform. In Backstack, tools come from:- NPM packages - MCP servers installed from npm and run automatically
- Remote servers - External MCP servers connected via URL
Resources
Resources provide context to your AI:- Documents - PDFs, Word docs, text files shared to workspaces
- Data sources - Databases, APIs, and other information sources
Key Features
AI Chat
Have conversations with AI assistants that can execute tools and access resources
Security Policies
Define natural language security rules that validate tool execution in real-time
Activity Logs
Complete audit trail of all actions across your organization
Analytics
Track tool usage, performance, and adoption across your team
Desktop App
Local file discovery and document sync from your desktop
Client Restrictions
Control which AI clients can access your organization
Use Cases
Development Teams
- Install GitHub, database, and filesystem MCP servers
- Share team codebases and documentation as resources
- Set security policies to prevent destructive operations
- Monitor AI tool usage across the team
Enterprise Organizations
- Centralize AI infrastructure management
- Enforce compliance with security policies
- Audit all AI interactions for regulatory requirements
- Control which AI clients employees can use
Research Teams
- Share research papers and datasets as searchable resources
- Install domain-specific MCP tools for data analysis
- Collaborate across workspaces for different projects
- Track AI usage and effectiveness
How It Works
- Organization admins install MCP tools and configure settings
- Team members are invited and assigned to workspaces
- Users connect their AI clients (Claude Desktop, VS Code, etc.) to Backstack via MCP
- AI conversations have access to organization tools and resources
- Security policies validate operations in real-time
- Activity logs track all actions for audit and compliance
Benefits
- Reduce complexity - Install tools once, use them everywhere
- Improve security - Centralized control over AI tool access
- Enable collaboration - Share resources and tools across teams
- Maintain compliance - Complete audit trail and policy enforcement
- Scale AI adoption - Make powerful AI capabilities accessible to all team members