Browse and discover Model Context Protocol compatible clients.
Cut AI token costs 95%+ on code exploration. The leading MCP server for precise, symbol-level GitHub code retrieval via tree-sitter AST. Works with Claude Code, Cursor & any MCP client. 313B+ tokens saved.
**Option 1 (Focus on Laravel integration):** Laravel LLM integration. Unified interface for interacting with various language models. #Laravel #LLM #AI **Option 2 (Focus on abstraction):** LLM abst
AI Code Execution SDK: Python & JS/TS libraries for integrating AI-generated code interpretation into applications.
Comfyui_llm_party provides ComfyUI nodes for building LLM workflows, enabling users to quickly create and integrate them into image workflows. It offers a complete set of tools for LLM workflow construction.
The official Go SDK for Model Context Protocol servers and clients. Maintained in collaboration with Google.
The full-stack TypeScript framework to build, test, and deploy production-ready MCP servers and AI-native apps.
A Unified MCP Server Management App (MCP Manager).
Enable AI assistant clients like Cursor, Windsurf and Claude Desktop to control Unreal Engine through natural language using the Model Context Protocol (MCP).
This repository offers a CLI tool for interacting with Model Context Provider servers, supporting OpenAI and Ollama, and featuring chat and interactive modes with conversation history and server-aware tools.
✨ Agentic chat experience in your terminal. Build applications using natural language.
No need to switch browsers, just use Dia on Chrome or on Arc.
Native multi-data-source DB client — ~30MB, AI & MCP ready. Not Electron. 丨原生轻量数据库客户端（Go + Wails + React，~30MB）：SQL/缓存/向量/消息/国产库，内置 AI 与 MCP，告别 Electron。
This repository offers AI as Workspace, a versatile AI client supporting multiple platforms and providers, featuring workspaces, local data storage with cloud sync, and a user-friendly conversation interface for enhanced AI interaction.
Dive is an open-source, cross-platform desktop application that integrates with LLMs supporting function calling, offering features like multi-language support, API management, custom instructions, and auto-updates for seamless AI agent integration.
Build Your Agent Team for Real-World AI Development - Workspace-first multi-agent coordination platform for AI development, with shared Specs, Kanban orchestration, and MCP/ACP/ A2A support across web and desktop.