Metorial

The AI integration platform for developers.

Freemium

Description

Metorial is an AI integration platform engineered to streamline the development of AI-powered applications. It empowers developers by providing a unified way to connect any AI model to a vast ecosystem of APIs, data sources, and tools, including popular services like Google Drive, GitHub, Salesforce, and Notion. This is achieved through a single function call, abstracting away the complexities of disparate APIs, authentication flows, and custom connectors.

The platform leverages MCP (Metorial Connection Protocol) and offers serverless deployment, allowing developers to focus on creating intelligent user experiences. Metorial includes features like 'Metorial Connect' for seamless tool integration, 'Metorial Trace' for detailed performance monitoring and observability, and 'Metorial Flows' for no-code AI agent creation. It aims to help embed AI deeply into products by facilitating robust integration with user ecosystems and ensuring responses are grounded in accurate information.

Key Features

Single Function Call Integration: Connect any AI model to thousands of APIs, data sources, and tools.
MCP Powered Connections: Utilize any open-source or proprietary MCP server for robust integrations.
Serverless Infrastructure: Deploy AI applications without managing servers, focusing on feature development.
Metorial Connect: Provide AI agents with seamless connections to tools like GitHub, Notion, Stripe, and various data sources.
Data-Grounded Responses: Ensure AI agent accuracy by connecting models to high-quality data sources, preventing misinformation.
Metorial Trace: Access comprehensive monitoring, real-time insights, and detailed logs for AI agent performance and debugging.
Metorial Flows: Utilize a no-code, drag-and-drop interface to build and configure AI agents quickly.
Billing & Usage Management: Integrated support for billing plans, rate limiting, and error handling for AI applications.

Use Cases

Building AI agents that deeply integrate with user ecosystems like Google Drive, GitHub, and Salesforce.
Developing adaptive AI-powered features that learn and act based on connected data and tools.
Automating complex tasks by enabling AI agents to interact with external APIs and services.
Creating intelligent user experiences that leverage real-time data from diverse sources.
Connecting AI models to documents, databases, APIs, and the web to expand their capabilities.
Developing and scaling advanced agentic AI applications for SaaS businesses and enterprise solutions.