What is MCP?
The Model Context Protocol (MCP) is an open standard that enables AI applications to securely connect to external data sources and tools. Logic implements MCP as a server, allowing you to connect AI platforms like Claude, Codex, and ChatGPT directly to your Logic agents. With Logic’s MCP server, you write your AI rules and workflows once in Logic, and any MCP-compatible tool can use them.How Logic Implements MCP
Logic provides MCP servers at the organization level. Each MCP server:- Makes your Logic agents available for AI assistants to discover and run
- Provides built-in tools to discover, run, inspect, and — with the right permission — create and edit agents
- Manages agent access through flexible scope and permission controls
- Supports async execution for long-running workflows
- Handles authentication automatically
Key Features
Secure Access Control
Choose which agents to expose through each MCP server, and what clients can do with them:- Scope: expose every agent (All Agents) or only selected ones (Limited)
- Permission: let clients run agents (Execute only) or also create and edit them (Author)
Built-in Tools
Every connection includes built-in tools — the way a client discovers, runs, and inspects your agents, and, on Author servers, creates and edits them — all without leaving the chat.Async Task Support
Logic MCP servers support asynchronous task execution, meaning AI assistants can start long-running Logic workflows and check back for results without blocking. This enables:- Parallel execution of multiple Logic agents
- Handling of complex, time-intensive workflows
- Better resource utilization
Platform Compatibility
Logic’s MCP implementation works with major AI platforms:- Claude (desktop and CLI)
- Codex CLI
- ChatGPT
- Any other MCP-compatible client
Use Cases
Code Style Validation: Create a Logic agent that validates code against your company’s style guide. Connect it via MCP to Claude Code, and automatically check your code as you write. Data Analysis Pipeline: Build a Logic agent that analyzes data and generates reports. Connect it to ChatGPT so you can run analyses conversationally. Multi-Step Workflows: Design complex Logic workflows that AI assistants can trigger and monitor, enabling sophisticated automation without custom integration code.Getting Started
Ready to connect your Logic agents to AI platforms?Start with the Quick Start guide to create your first MCP
server and connect it to an AI platform.