Explains how Pathrule CLI and Desktop save tokens by automatically injecting context via hooks before AI tool calls, avoiding manual remote MCP overhead.
Execute multi-step AI workflows with reduced context usage by keeping intermediate results in the workflow engine, supporting multiple model calls and tool integrations.
A production-ready MCP server template that connects LLMs and AI agents to external data, tools, and services with built-in OAuth 2.1 authentication, Redis-backed session management, and a modular tools engine.
Retrieve sanitized runtime and configuration context for the current Huly MCP session, including version, transport, auth mode, URL, workspace, and tool exposure settings. Does not return sensitive data.
Retrieve detailed specifications for any AI model by its ID, including pricing, context window, capabilities, and request limits to inform model selection decisions.
Compare AI model pricing across Anthropic, OpenAI, Google, Meta, Mistral, and Cohere. Get input and output prices per 1M tokens, context window, and release date in one table to select the cheapest model for your budget and context.