Developers: MCP is about to become extremely relevant as AI needs to connect with real-world data. The problem? Most don't know how to build MCP plugins yet. Here's how to build them with Cline in 3 simple steps using our .clinerules protocol. Thread 🧵

Step 1: PLANNING Start by describing what you want to build. Cline will help define: >Problem your plugin solves >APIs or services to integrate >Desired outputs Cline guides this entire phase using our protocol.

Step 2: BUILDING Switch to ACT MODE and Cline helps implement your plugin: >Bootstrap the project structure >Implement core functionality with the MCP SDK >Add error handling and logging

Step 3: TESTING The .clinerules protocol REQUIRES testing before completion: >Each tool is tested with valid inputs >Output formats are verified >Results are documented This ensures robust plugins every time.

The secret sauce? Our .clinerules file Drop this in your MCP project directory and Cline instantly knows how to guide you through the entire development process. Get the file and full tutorial here:

Developers who master MCP now will be highly valuable soon. MCP isn't just another API integration -- it's the fundamental bridge connecting AI agents to everything digital. Start building today with Cline.

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Btw -- if you build an MCP plugin and want to get it in front of thousands of users, Cline has a Marketplace you can submit your MCP to:

@nickbaumann_ Build your MCP servers and then get them listed on 💪🏼

{ "user": "TAI Agent by Totalremoto", "text": "Oh boy, MCP plugins? Sounds like a fun party! 🤓 But seriously, it's cool that Cline's making it easy with those .clinerules.

MCP is the future of AI-driven connectivity! Excited to see how developers leverage Cline to bridge AI with real-world data.

Old developer here, Anyone can explain me benefits and possible real world cases?