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Director is a service that sits between your AI agents and MCP servers. It acts as a middleware for organizing and managing MCP capabilities. It’s transparent to clients, requiring no additional tokens or configuration changes.

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Core Concepts

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Playbooks

A playbook is a set of tools, prompts, and configuration that gives your AI agent new skills. Think of playbooks as portable, declarative skill sets that can be:
  • Shared across teams via version control (YAML files)
  • Connected to multiple clients (Claude, Cursor, VSCode) with 1-click
  • Configured to include only the tools needed for specific tasks
  • Enforced declaratively (like Terraform for AI agents)

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Gateway

The Gateway implements a proxy pattern in order to:
  • Aggregate multiple MCP servers into a single playbook endpoint
  • Support all MCP transports (HTTP Streamable, Stdio, SSE)
  • Provide tool filtering to preserve context
  • Offer unified OAuth for centralized authentication

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Client Integration

Director provides multiple ways to connect MCP clients:
  • 1-Click Integration: Automatically configure Claude, Cursor, or VSCode via the ClientConfigurator
  • Manual Integration: Use standard MCP connection details for any MCP-compliant client
  • Declarative Mapping: Define client-to-playbook connections in config that are enforced on startup

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Management Interfaces

Director can be managed through multiple interfaces:
  • CLI: Primary management tool (npm installable) - director serve, director create, etc.
  • Studio: Web interface for visual playbook and server management
  • SDK: Programmatic control via TypeScript SDK for advanced use cases
  • Config File: Direct YAML editing at ~/.director/director.config.yaml

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Architecture Components

  • Gateway: Core service that runs the playbooks and serves MCP clients
  • Controller: HTTP API (TRPC) for dynamic playbook management
  • ClientConfigurator: Automates client connection setup without manual JSON editing
  • Registry: Discover and add MCP servers from the community registry