Exploring Startup Opportunities in the MCP Ecosystem
MCP = Next Big Opportunity? EASIST way to build your own MCP business 🔗
0:00 Startup opportunities around MCP ecosystem
The MCP ecosystem has gained significant traction recently, presenting various startup opportunities. MCP provides a standardized way for AI applications to access external assistance, similar to how TCP/IP unified communication protocols in the early Internet. This standardization lowers barriers for developing AI agent clients, fostering growth in sectors like sales, customer support, and more. The potential for creating marketplaces for MCPs is highlighted, akin to app stores in the tech ecosystem.
4:34 How did I build my figma MCP
Building an MCP business is straightforward. An example is creating a Figma MCP, which requires a solid go-to-market strategy for a successful launch. Utilizing a free go-to-market playbook can aid in crafting a launch blueprint. Developers can use specific SDKs, such as Python, to create their MCP servers. The video details how to initiate a server and connect it to Figma’s API to fetch and process design data.
10:30 How to publish your MCP
After building an MCP, distributing it is crucial. Platforms like GL and Myster assist in sharing MCPs with others. Developers should prepare documentation for their projects and upload them to GitHub. Once submitted for review, successful projects can be easily accessed by users. The speaker invites feedback and interaction through online communities and expresses excitement about future developments in MCPs.
What is MCP and why is it significant?
MCP stands for a standardized way for AI applications to interface with external assistance, which lowers barriers for development and fosters innovation across various industries.
How can I build my own MCP?
You can build your own MCP using SDKs provided for languages like Python. The video demonstrates creating a simple MCP server that integrates with Figma's API for design data retrieval.
Where can I publish my MCP?
You can publish your MCP on platforms like GL and Myster. After preparing your documentation and uploading your project to GitHub, you can submit it for review to make it available for others to install and use.