Detect your project's tech stack and regenerate AI context files from configuration. Use after framework changes or when context files become outdated to maintain accurate AI assistance.
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 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.
Fetch full documentation content from MCP protocol or FastMCP framework URLs. Get complete protocol specs, tutorials, and instructions when search snippets are insufficient.
Retrieve historical price data from the Pyth oracle for a given price ID and time period. Useful for pricing context, risk checks, and market-aware decisions.
Activate the operating protocol at host session start: recall memory, index code, retrieve context before edits, patch surgically, run checks, store durable decisions.
Capture and store user context, business processes, and Salesforce data model insights to provide personalized, context-aware assistance across sessions.