MCP Server

The CodeLogician MCP Server exposes CodeLogician capabilities through the Model Context Protocol (MCP).

This allows AI tools and agent frameworks to call CodeLogician reasoning capabilities as structured tools.

Why MCP

MCP enables:

• integration with agent frameworks
• structured tool calls from LLMs
• reasoning workflows inside AI platforms

Instead of invoking the CLI directly, an AI system can call CodeLogician as a tool.

Typical architecture

Use cases

Common scenarios include:

• agent orchestration systems
• automated analysis pipelines
• AI tools performing reasoning on code

When to use MCP

Use the MCP server when:

• integrating CodeLogician with AI agents
• exposing reasoning capabilities as tools
• building automated reasoning services