Discover and explore Model Context Protocol clients that can connect to various MCP servers.
by Abiorh001
Provides a complete AI agent platform that includes the OmniAgent builder, a local tools system, self‑flying background agents, multi‑tier memory with vector search, real‑time event streaming, and a universal MCP client usable via CLI or as an embeddable library.
by tuannvm
Enables AI models to interact with MCP servers through Slack, handling tool calls, RAG, and agent workflows while maintaining thread‑aware context and user personalization.
by AdamStrojek
Simplifies the creation of AI agents in Rust by providing strong static typing, robust error handling, and seamless integration with multiple LLM providers.
Connects to any MCP server using HTTP streamable or Server‑Sent Events and presents the interaction in a chat‑like UI, enabling quick testing and debugging of MCP endpoints.
AI-powered code assistance and autonomous software agents integrated into IDEs and terminals, delivering context‑aware autocomplete, task automation, and code generation to streamline development workflows.
A native macOS application that consolidates multiple AI models and services into a single interface, delivering instant AI assistance across everyday apps and workflows.
Accelerates software development by embedding a powerful AI coding assistant directly into the terminal, enabling instant codebase search, multi‑file edits, and seamless integration with IDEs, CI/CD pipelines, and common command‑line tools.
Provides an AI conversational assistant accessible on desktop, iOS, and Android, enabling seamless continuation of chats across devices without tab‑hopping.
Provides AI-driven code completion, natural‑language editing, and instant access to your entire codebase, turning the editor into an intelligent pair programmer.
Upload, analyze, and visualize documents, compare AI model responses, and collaborate within a secure, shortcut‑enabled workspace.
Automate workflows across dozens of apps, extract data, enrich contacts, and run AI‑driven playbooks without writing code.
Rapidly prototype applications without writing code, using natural language commands to generate projects across any tech stack and keep all files stored locally for full control.
Build, customize, and deploy AI‑powered agents that automate tasks, orchestrate workflows, and surface knowledge across Microsoft 365, Teams, SharePoint, web channels, and third‑party systems.
Design, test, document, and monitor APIs from a single unified platform, available as a desktop app, web version, and command‑line tools.
Provides AI-powered workflows with local and online model support, privacy‑first data handling, and extensible tool integrations for seamless knowledge management and automation.
Transform spreadsheet workflows by leveraging AI to import data, automate updates, and execute actions directly within Google Sheets.
A powerful frontend chat interface that lets users interact with multiple large language models, build custom AI agents, and extend functionality with plugins while keeping data stored locally for privacy.
An extensible, AI‑powered code editor that supports a wide range of programming languages, integrates with GitHub Copilot, and enables development from local machines, remote containers, or the browser.
Provides an autonomous AI coding agent that writes, tests, and deploys code, integrates with popular IDEs, CI/CD pipelines, and a wide range of developer tools to streamline routine engineering tasks.
A fast, AI‑augmented development environment that combines a modern terminal with multi‑agent capabilities for coding, debugging, and deployment.
Enhances coding workflow by integrating AI-driven autocomplete, code fixing, and real-time assistance within a unified IDE.