Discover and explore Model Context Protocol clients that can connect to various MCP servers.
by tuannvm
Enables large language models to interact with real tools and systems through Slack conversations by acting as a bridge that routes LLM requests to Model Context Protocol (MCP) servers and returns the results back to Slack users.
by AdamStrojek
Simplifies creation of AI agents with a Rust library that connects to major LLM providers, offers structured output, and includes a flexible ToolBox for custom tool integration.
A desktop‑optimized AI chatbot that connects to any LLM, supports multi‑modal inputs (audio, PDF, images, text files), provides real‑time web search via Tavily or a local browser, and keeps all user data stored locally for privacy.
Connects to any MCP server via HTTP streamable or Server‑Sent Events (SSE) and presents the interaction in a chat‑like UI, allowing developers to test and debug MCP integrations quickly.
AI‑powered autonomous coding agents, context‑aware autocomplete, terminal command automation, and deep IDE integrations accelerate software development and streamline codebase navigation.
Provides a native macOS app that consolidates multiple AI models for chat, code assistance, content creation, and image generation directly inside everyday applications.
AI-powered code assistance directly inside the terminal, providing instant codebase search, coordinated multi‑file edits, test execution, and seamless integration with IDEs, CI/CD pipelines, and common developer tools.
Provides an AI conversational assistant accessible via desktop and mobile applications, allowing users to continue conversations across devices without switching tabs.
An AI‑powered code editor that boosts developer productivity with intelligent autocompletion, natural‑language code editing, and deep codebase awareness.
Automates repetitive work across dozens of apps using AI-powered agents, handling email management, data extraction, enrichment, reporting, and custom workflows.
Upload, analyze, and visualize documents, compare multiple AI model responses side‑by‑side, generate diagrams, solve math with KaTeX, and collaborate securely within a single unified interface.
Build, customize, and deploy AI-powered agents that automate tasks, retrieve information, and take actions across Microsoft 365, web, social and custom channels.
Generate production‑ready code from natural language prompts, leverage ready‑made templates, and keep all files stored locally for full ownership and privacy.
Download and install the Postman API platform across desktop, web, command‑line, and IDE extensions to design, test, document, and monitor APIs.
Run advanced AI models locally with high performance while maintaining full data privacy, accessible through native desktop applications and a browser‑based platform.
Transform spreadsheet tasks into automated AI-driven operations, pulling data from multiple sources, enabling two‑way sync, generating charts, and executing natural‑language actions directly inside Google Sheets.
AI-powered code editing with contextual chat, next‑edit suggestions, and agent mode, supporting dozens of languages and deep UI customization.
Provides an integrated, customizable AI coding agent that automates routine development tasks, writes, tests, and deploys code, and can be extended with custom Zen Agents for any workflow.
Provides an agentic development environment that lets developers issue plain‑English or shell commands, have multiple AI agents write, debug, and deploy code across multi‑repo codebases, and manage those agents centrally from a modern, high‑performance terminal.
Empowers developers to code with AI-driven assistance, delivering real‑time codebase awareness, automated lint fixing, and seamless workflow integration directly inside the editor.