API 200 MCP Server

Overview

API 200 is a unified gateway designed to streamline the integration of third‑party APIs into AI‑driven applications. It solves the common pain point of juggling multiple authentication schemes, rate limits, and data transformations by providing a single, configurable endpoint that handles these concerns automatically. For developers building AI assistants, this means less boilerplate and more focus on crafting conversational logic rather than plumbing.

At its core, API 200 exposes an MCP server that can be invoked directly from tools such as Claude. The server accepts declarative API definitions (via OpenAPI or Postman collections), automatically generates the necessary client code, and manages authentication tokens, caching, retries, and mock responses. When an AI assistant needs to query an external service, it can call the MCP endpoint and receive a clean, transformed response—free from raw HTTP noise. This abstraction is particularly valuable when the assistant must interact with services that have complex auth flows or strict rate limits.

Key capabilities include:

• Fast setup and auto‑generation of API clients, allowing developers to spin up a fully functional MCP server in minutes.
• Schema watching that notifies the system when an upstream API’s response structure changes, ensuring the assistant’s prompts stay in sync.
• Incident detection with a dedicated UI tab that surfaces anomalies such as increased latency or error spikes.
• In‑browser Swagger integration for interactive exploration of available endpoints directly from the dashboard.
• Endpoint monitoring and comprehensive logging, giving developers visibility into request patterns, performance metrics, and error rates.
• MCP support that seamlessly plugs into existing AI workflows, enabling tools like Claude to treat the gateway as a first‑class API provider.

Real‑world scenarios that benefit from API 200 include building conversational agents that pull data from SaaS platforms (e.g., CRM, analytics dashboards), creating chatbots that need to access financial or healthcare APIs with stringent security requirements, and orchestrating multi‑service workflows where an assistant must coordinate calls to several third‑party endpoints. By handling authentication, caching, and error resilience internally, API 200 reduces the cognitive load on developers and accelerates time to market for AI products.