API Aggregator
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Aggregates external API data, including weather, news, and financial information, into a single, consistent interface for AI agents and large language models.
About
The API Aggregator acts as a central hub, offering AI agents and large language models (LLMs) a streamlined way to access disparate external APIs. By conforming to the Model Context Protocol (MCP) and providing standardized tool calls for data like weather, news, and stock prices, it simplifies complex integrations. This server is designed for high performance with async support, robust error handling, and type-safe data validation, making it an ideal backend for AI-powered applications requiring diverse real-world data.
Key Features
- Type-Safe with Pydantic validation
- High-performance Async Support
- 0 GitHub stars
- MCP Protocol Compliant (JSON-RPC 2.0 support)
- Unified Error Handling for consistent responses
- Multiple API Integrations (Weather, News, Stock)
Use Cases
- Simplifying external API integrations for large language models to perform tool calls.
- Centralizing diverse data sources into a single, consistent endpoint for AI applications.
- Empowering AI agents with standardized access to real-world data (weather, news, finance).