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Frequently Asked Questions

General Questions​

What is TRMX AI?​

TRMX AI is a platform that enables developers to build intelligent, context-aware AI applications using the Model Context Protocol (MCP). Our platform provides the tools, infrastructure, and services needed to create, deploy, and manage MCP servers and clients.

What is the Model Context Protocol (MCP)?​

The Model Context Protocol (MCP) is an open standard that defines how AI models interact with external data, tools, and services while maintaining context. It provides a structured way for AI applications to connect with various resources and perform actions through a standardized interface.

How does MCP differ from traditional AI integration approaches?​

Unlike traditional approaches that require custom integration code for each service or data source, MCP provides a standardized protocol that works uniformly across different systems. It also handles context management automatically, allowing AI models to maintain awareness across interactions without developers having to manually track conversation history.

Is MCP only for large enterprises?​

No, MCP is designed for organizations and developers of all sizes. While it offers enterprise-grade features, it's equally valuable for individual developers, startups, and small teams looking to build more intelligent AI applications.

Technical Questions​

Which programming languages are supported?​

TRMX AI officially supports the following SDKs:

  • JavaScript/TypeScript
  • Python
  • Java
  • C#
  • Go

Community-maintained SDKs are also available for other languages.

Can I use MCP with any AI model?​

Yes, MCP is designed to work with any AI model that supports structured outputs (like function calling). We provide pre-built integrations for popular models like OpenAI's GPT series, Anthropic's Claude, and various open-source models.

How does MCP handle security?​

MCP includes robust security features:

  • OAuth 2.0 authentication for remote servers
  • Fine-grained access control for tools and resources
  • Secure data transmission
  • No direct model access to sensitive systems

For more details, see our Security documentation.

Is MCP open source?​

Yes, the MCP specification is open source and freely available. TRMX AI provides both open source tools and value-added commercial services built around the MCP ecosystem.

How does MCP handle large data sets?​

MCP uses efficient strategies like just-in-time retrieval, resource references, and selective context to avoid loading entire datasets into the model's context window. This allows AI applications to work with large data volumes without hitting token limits.

Usage Questions​

How do I get started with TRMX AI?​

The easiest way to get started is to follow our Quick Start Guide, which walks you through setting up your development environment and creating your first MCP application.

Can I use existing MCP servers?​

Yes, you can connect to pre-built MCP servers maintained by the community or TRMX AI. Check out our Using Existing MCP Servers guide for details.

How much does TRMX AI cost?​

TRMX AI offers multiple pricing tiers:

  • Free Tier: For individual developers and small projects
  • Pro Tier: For teams and production applications
  • Enterprise Tier: For organizations with advanced needs

Visit our Pricing Page for current rates and features.

What kind of applications can I build with MCP?​

MCP is versatile and can be used for various applications, including:

  • Intelligent assistants and chatbots
  • Knowledge worker tools
  • Development environments
  • Data analysis platforms
  • Enterprise workflow automation
  • Customer support systems

How can I deploy my MCP application to production?​

TRMX AI offers multiple deployment options:

  • Managed serverless deployment on TRMX Cloud
  • Self-hosted deployment on your own infrastructure
  • Hybrid deployments

See our Deployment Guide for detailed instructions.

Support Questions​

Where can I get help with TRMX AI?​

We offer several support channels:

How do I report a bug?​

Bugs can be reported through our GitHub repository or via our Bug Report Form.

How can I request a new feature?​

Feature requests can be submitted through our Feature Request Form or discussed on our Community Forum.

Does TRMX AI offer training or consulting services?​

Yes, we offer training workshops, implementation consulting, and custom development services. Contact our Sales Team for more information.

How do I stay updated on MCP and TRMX AI news?​

Subscribe to our Newsletter or follow us on Twitter and LinkedIn for the latest updates.