TengineAI is a productivity & business tool that provides a hosted Model Context Protocol (MCP) runtime for AI systems. It enables safe, scoped access to real-world systems by turning APIs into MCP tools with authentication and production guardrails.
TengineAI offers a hosted remote MCP (Model Context Protocol) server platform designed to connect AI assistants to external APIs and services. It eliminates the need to build and maintain your own MCP server by providing a production-ready solution with built-in OAuth handling, API key management, and secure credential storage. The platform ensures project-scoped access control, tool permission systems, and scalable infrastructure, making it ideal for developers and teams building AI-powered applications. TengineAI supports various MCP-compatible clients like Claude Desktop, Cursor, and VS Code, and allows programmatic integration via official MCP SDKs. It also provides pre-built tools for popular services like Google (Gmail, Calendar, Drive), Microsoft (Outlook, Calendar, OneDrive), Ticketmaster, Reddit, and OpenWeather, with future plans to allow custom tool creation for any REST API.
Best used for
Ideal for developers and startup founders who need to connect their AI assistants to external services, manage API integrations securely, and operationalize AI applications without building MCP servers from scratch. Especially valuable for ensuring reliable and auditable tool execution in production AI systems.
Common actions
connect AI to APIs
manage AI tool execution
secure AI system access
integrate AI with services
operationalize AI applications
AI scalingcloud infrastructureAI PlatformAI infrastructureMLOpsproduction AImachine learning operationsModel deployment
MCP is an open standard that provides a standardized way for AI models and assistants to interact with external tools and data sources. It acts as a universal interface, allowing AI to access APIs and services through a consistent client-server protocol.
What AI clients does TengineAI support?
TengineAI works with any MCP-compatible client, including desktop applications like Claude Desktop (via Custom Connectors in paid plans), Cursor, and VS Code. You can also connect programmatically using official MCP SDKs for Python, Java, and C#.
What are the pricing tiers for TengineAI?
TengineAI offers a Free tier (20 calls/day), a Hobby tier ($9/month for 100 calls/day), a Pro tier ($29/month for 10,000 calls/month), and a Business tier ($99/month for 40,000 calls/month). Overage charges apply for Pro and Business plans.
Can I build tools for my own APIs using TengineAI?
This feature is coming soon. TengineAI plans to allow users to create custom tools that call their own REST APIs, making internal systems and custom integrations accessible to AI assistants without building MCP servers from scratch.
How does TengineAI handle security and credentials?
TengineAI uses enterprise-grade security practices, including zero-knowledge architecture, encryption for sensitive data, project isolation, granular permissions, session-based authentication, and real-time security monitoring. OAuth tokens are stored securely with automatic refresh.
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