Enables AI assistants to interact with the Godot game engine by launching the editor, running projects, and capturing debug output.
Build AI-powered applications with this open-source framework for Node.js and Go.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Integrates Tavily's search and data extraction capabilities with AI assistants via the Model Context Protocol.
Enables applications to provide context for LLMs in a standardized way, separating the concerns of providing context from LLM interaction.
Enables communication between Unity and Large Language Models for automating workflows and controlling the Unity Editor.
Turns an LLM into a coding agent that works directly on your codebase by providing semantic retrieval and editing capabilities.
Provides a modular framework for building AI agents capable of interacting across multiple platforms and accessing external tools.
Transforms any GitHub project into a documentation hub accessible to AI tools, preventing hallucinations by providing accurate and up-to-date context.
Orchestrates components within a lightweight, high-performance rule engine framework for Go applications.
Provides a streamlined Python interface for easily interacting with AI chat models like ChatGPT and GPT-4, emphasizing efficiency and minimal code complexity.
Create, customize, and engage in real-time conversations with AI characters across web, mobile, and terminal platforms.
Establishes a lightweight bridge for AI agents to interact with and automate tasks on Android devices.
Orchestrates access to OpenAI, Google Gemini, and Azure AI models through a unified Model Context Protocol (MCP) interface for enhanced coding workflows.
Automates Unity project development by enabling AI to autonomously compile, test, debug, and manipulate projects through integration with AI coding assistants.
Facilitates AI coding agents in generating Flutter code by providing rich design data directly from Figma.
Automatically generates and comprehensively evaluates presentations from documents using an innovative agentic AI system.
Enables LLMs and agentic workflows to seamlessly interact with real-time and historical stock market data through the Model Context Protocol (MCP).
Indexes codebases into a structural knowledge graph, enabling visual exploration and comprehensive querying for developers and AI agents.
Enables AI clients like Claude to bidirectionally interact with Figma, generating UI and extracting design data.
Bridges frontend and backend analysis by cross-referencing API contracts to uncover issues single-side tools cannot detect.