About TengineAI
A hosted remote MCP server platform that connects AI assistants to external APIs and services
What is TengineAI?
TengineAI is a hosted remote MCP (Model Context Protocol) server that connects AI assistants to external APIs and services. You can connect to TengineAI through MCP clients like Claude Desktop, Cursor, and VS Code, or programmatically using MCP SDKs (Python, Java, C#) to integrate TengineAI into your own applications. TengineAI provides tools for Gmail, Google Calendar, Drive, Ticketmaster, Reddit, and more.
Instead of building your own MCP server from scratch, TengineAI provides a production-ready platform that handles OAuth flows, API key management, project-scoped access control, and all the infrastructure needed to connect AI assistants to external services.
Who Should Use TengineAI?
Developers Using AI Tools
If you use Claude Desktop, Cursor, VS Code, or other MCP-compatible clients and want to connect your AI assistant to external services like Gmail, Calendar, or Ticketmaster without building your own MCP server.
Developers Building Applications
If you're building applications and want to integrate MCP functionality programmatically using MCP SDKs (Python, Java, C#). Connect to TengineAI from your code to give your applications access to external APIs and services through the MCP protocol.
Teams Building AI-Powered Applications
Teams that need to integrate AI assistants with APIs and services in their applications, either through MCP clients or programmatically via MCP SDKs, without implementing MCP protocol, OAuth flows, and credential management from scratch.
Developers Building Custom Integrations
Coming soon: Developers who want to create custom tools for their own REST APIs and internal systems, making them accessible to AI assistants through TengineAI without building MCP servers from scratch.
What Problem Does TengineAI Solve?
Building integrations between AI assistants and external services involves significant complexity:
Building MCP Servers from Scratch
Implementing the MCP protocol, session management, and authentication requires deep understanding of the specification and significant development time.
OAuth Complexity
Each service requires its own OAuth flow implementation, token refresh logic, and secure storage. TengineAI handles this for Google, Microsoft, Reddit, and more.
API Key Management
Securely storing, encrypting, and managing API keys with project-scoped access control requires infrastructure and security expertise.
Production Infrastructure
Scalable deployment, monitoring, rate limiting, error handling, and compliance require ongoing maintenance and expertise.
How is TengineAI Different?
vs. Building Your Own MCP Server
- Production-ready FastMCP implementation
- Built-in OAuth handling (Google, Microsoft, Reddit)
- Secure credential management with encryption
- Project-scoped access control
- Tool permission system
- No infrastructure to manage
vs. Other MCP Server Solutions
- Fully managed hosted service
- Usage-based subscription pricing with flexible tiers
- Real-time usage tracking and automatic limit enforcement
- Project-scoped multi-tenant architecture
- Comprehensive integrations (Gmail, Calendar, Drive, Ticketmaster, Reddit, Weather)
- Enterprise features (rate limiting, monitoring, secure credential management)
- Dynamic tool registry
- Coming soon: Build your own tools for custom APIs
vs. Direct API Integrations
- MCP protocol standardization for consistent AI-to-API interaction
- Pre-built tools for popular APIs (Gmail, Calendar, etc.)
- Unified interface - no need to learn each API's specifics
- Tool discovery and documentation for AI assistants
- Coming soon: Custom tool creation for any API endpoint
Key Terminology
MCP (Model Context Protocol)
An open standard that provides a standardized way for AI models and assistants to interact with external tools and data sources. Think of it as a universal interface that allows AI to access APIs and services through a consistent protocol.
Remote MCP Server
An MCP server hosted in the cloud (vs. running locally on your machine). TengineAI provides a hosted MCP server that clients connect to via URL, eliminating the need to run and maintain your own server infrastructure.
OAuth Tools vs API Key Tools
OAuth tools: Require user authorization (e.g., Gmail, Calendar). Users grant permission, and tokens are stored securely with automatic refresh.
API key tools: Use project-scoped API keys (e.g., OpenWeather). Simpler setup but less granular access control.
Project-Scoped Access
Tools are tied to projects, not individual users. This enables team collaboration and ensures that credentials and permissions are isolated per project for security.
Connecting to TengineAI
Via MCP Clients: Connect through desktop applications like Claude Desktop (using Custom Connectors in paid plans), Cursor, and VS Code.
Programmatically: Use official MCP SDKs (Python, Java, C#) to connect to TengineAI from your code, enabling you to integrate MCP functionality directly into your applications.
Coming Soon
Build Your Own Tools
Developers will be able to create custom tools that call their own REST APIs, making internal systems and custom integrations accessible to AI assistants. These are private tools for your own use, enabling custom integrations without building MCP servers from scratch.
- Build tools that call your own REST APIs
- Make your custom systems accessible to AI
- Private tools for your own use (not a public marketplace)
- Lower barrier than building full MCP infrastructure
20 free tool calls daily • No credit card required