Use Cases
Trevi works for different roles and scenarios. See how teams use MCP servers to enable AI agents across their platforms and workflows.
Add MCP support to a public API
Make your public API accessible to AI agents through the Model Context Protocol. Enable ChatGPT, Claude, and other AI tools to interact with your services seamlessly.
- Expand your API's reach to AI-powered applications
- No changes required to your existing API
- Automatic tool discovery and documentation
- Standardized interface for all AI agents
Enable AI agents on your platform
Give your users the power of AI agents that can interact with your platform's features. Let agents perform actions, retrieve data, and automate workflows.
- Enhance user experience with AI capabilities
- Enable agent-driven workflows and automations
- Maintain security and access controls
- Scale agent interactions automatically
Offer MCPs to third-party developers
Provide MCP servers as a developer product. Let third-party developers build integrations and tools that connect to your services through standardized MCP interfaces.
- Create a developer ecosystem around your services
- Standardized integration pattern
- Easier onboarding for third-party developers
- Enable partner integrations at scale
Internal automation and workflows
Connect your internal tools and services to AI agents. Enable intelligent automation, data analysis, and workflow orchestration across your organization.
- Automate repetitive internal processes
- Enable AI-powered data analysis and insights
- Connect disparate internal systems
- Improve team productivity with agent assistance