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Using agent MCP endpoint in different platforms

Example integrations of the Corvic AI API with various generative AI workflows and platforms. Supported platforms: Each page includes:
  • Code Examples: Platform-specific integration code
  • Documentation: Instructions and explanations for setting up and using the integrations

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Getting Started

To get started with a specific integration:
  • Use the Corvic AI platform to develop and deploy production agentic applications on your enterprise data
  • Obtain the MCP endpoint and access token for the deployed application from the Corvic AI dashboard
  • Navigate to the desired page (e.g., Python Integration)
  • Follow the setup instructions provided in the page
  • Run the example code to see the Corvic AI API integration in action

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Supported Integrations

Python Integration

Native Python integration with Corvic AI MCP protocol.

Jupyter Notebook

Build lightweight GenAI testing frameworks with Corvic.

OpenAI Integration

Integrate Corvic with OpenAI agent frameworks.

CrewAI Integration

Use Corvic with CrewAI multi-agent systems.

Langchain Integration

Integrate Corvic with Langchain applications.

FastAPI Integration

Wrap Corvic MCP with FastAPI for web integrations.

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Model Context Protocol (MCP)

Corvic supports the Model Context Protocol (MCP), enabling seamless integration with various AI platforms and tools. MCP provides a standardized way to connect Corvic’s embedding spaces and agents with external AI systems.