A naukri.com initiative
Nordicapis
1d
124
How to Turn Any API Into an MCP Server
- Model Context Protocol (MCP) allows AI agents to connect with external resources and data, similar to smartphone apps.
- MCP consists of a host application and MCP servers, where multiple tools or AI agents can connect to these servers.
- New tools facilitate transforming APIs into MCP servers, but some limit the customization in creating them.
- This tutorial demonstrates creating an MCP server from an OpenAPI specification and integrating it into an LLM using Cursor and APIDog.
- To start, create an API access token with APIDog and a virtual environment for the project.
- Configure the MCP server in Cursor by setting up MCP.json with the API specification details.
- Interact with the API specification through Cursor using the built-in LLM to explore endpoints and HTTP methods.
- You can set up the MCP server to execute coding tasks and directly make changes to the code in Agent mode.
- Installing the MCP SDK allows testing tools by connecting to the MCP server and calling specific endpoints.
- Turning APIs into MCP servers automates tasks, improves productivity, and avoids recreating tools for new technologies but requires secure practices.
Read Full Article
7 Likes
For uninterrupted reading, download the app