API to MCP

What it does

API to MCP converts REST, GraphQL, SaaS, and internal business APIs into hosted MCP (Model Context Protocol) servers that AI agents can use immediately. Users can build MCP servers visually through a dashboard or let an AI agent (e.g., Codex, Cursor, Claude Code) create, test, and deploy tools from API documentation. The platform supports multiple authentication methods (API key, Bearer token, Basic Auth, OAuth Client Credentials, OAuth Authorization Code) and offers workflow tools, JMESPath response mapping, and forkable snapshots. Deployed servers are hosted on a Streamable HTTP runtime with SSL, usage tracking, and configurable access policies (Open, OAuth/Bearer Token, Client Token).

Who it is for

API to MCP is designed for developers, engineering teams, and AI agent users who want to expose existing APIs as MCP tools for AI assistants like ChatGPT, Claude, Codex, Cursor, VS Code, Antigravity, or custom agents. It is particularly useful for teams integrating internal business systems (CRM, ERP, HR, finance, support), marketing platforms (Meta Ads, Google Ads, Google Analytics), commerce tools (PayPal, Shopify, WooCommerce), developer services (GitHub, GitLab, Vercel, Sentry), public data APIs (Weather, REST Countries, World Bank, Hacker News), and content systems (WordPress, Contentful, Webflow, Notion).

Why it matters

As AI agents become more prevalent, the ability to connect them to real-world APIs is critical. API to MCP eliminates the need to write custom MCP runtime code, reducing the time to create production-ready MCP servers from days to minutes. By supporting OAuth Authorization Code, it allows each employee or end user to connect their own upstream accounts securely. The platform also separates upstream API authentication from MCP server access, providing flexibility and security. With both a visual builder and an AI agent builder, it caters to different workflows, enabling teams to quickly deploy MCP servers that give AI agents controlled access to business data and actions.

Launch signal

API to MCP launched on Product Hunt on an unspecified date, promoted as a new tool in the AI Infrastructure and LLM Developer Tools categories. The Product Hunt page indicates it is "Launching today" with 112 followers at the time of the snippet. The founder is listed as AKuDanh. No funding stage or additional launch metrics are available from the provided evidence.

Brand and naming

The name "API to MCP" is straightforward and descriptive, clearly communicating the core function: converting APIs into MCP servers. It is memorable and easy to understand for developers familiar with the MCP protocol. The domain apitomcp.ai reinforces the brand's focus on AI integration. The tagline "Turn any API into an MCP server for AI agents" effectively positions the product as a bridge between existing APIs and the growing ecosystem of AI agents.