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Description
TEN (Transformative Extensions Network) is an open-source framework that enables developers to create real-time multimodal AI agents capable of interacting through voice, video, text, images, and data streams with extremely low latency. The framework encompasses a comprehensive ecosystem, including TEN Turn Detection, TEN Agent, and TMAN Designer, which collectively allow developers to quickly construct agents that exhibit human-like responsiveness and can perceive, articulate, and engage with users. It supports various programming languages such as Python, C++, and Go, providing versatile deployment options across both edge and cloud infrastructures. By leveraging features like graph-based workflow design, a user-friendly drag-and-drop interface via TMAN Designer, and reusable components such as real-time avatars, retrieval-augmented generation (RAG), and image synthesis, TEN facilitates the development of highly adaptable and scalable agents with minimal coding effort. This innovative framework opens up new possibilities for creating advanced AI interactions across diverse applications and industries.
Description
MCP-Use is an open-source platform designed for developers that provides an array of SDKs, cloud infrastructure, and an intuitive control interface to facilitate the creation, management, and deployment of AI agents utilizing the Model Context Protocol (MCP). The platform allows connections to various MCP servers, each offering distinct tool functionalities such as web browsing, file handling, or specialized third-party integrations, all accessible through a single, unified MCPClient. Developers are empowered to build custom agents (using MCPAgent) that can intelligently choose the most suitable server for each specific task by leveraging configurable pipelines or a built-in server management system. By streamlining processes like authentication, managing access control, audit logging, observability, and creating sandboxed runtime environments, it ensures that both self-hosted and managed MCP developments are primed for production use. Moreover, MCP-Use enhances the development experience by integrating with well-known frameworks such as LangChain (Python) and LangChain.js (TypeScript), significantly speeding up the process of building AI agents equipped with diverse tools. In addition, its user-friendly architecture encourages developers to innovate and experiment with new AI functionalities more efficiently.
API Access
Has API
API Access
Has API
Integrations
Python
C++
ChatGPT
Claude
Docker
Go
LangChain
Model Context Protocol (MCP)
Node.js
OAuth
Integrations
Python
C++
ChatGPT
Claude
Docker
Go
LangChain
Model Context Protocol (MCP)
Node.js
OAuth
Pricing Details
Free
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
TEN
Country
United States
Website
theten.ai/
Vendor Details
Company Name
mcp-use
Founded
2025
Country
Switzerland
Website
mcp-use.com
Product Features
Conversational AI
Code-free Development
Contextual Guidance
For Developers
Intent Recognition
Multi-Languages
Omni-Channel
On-Screen Chats
Pre-configured Bot
Reusable Components
Sentiment Analysis
Speech Recognition
Speech Synthesis
Virtual Assistant