Let's review
In this module, you learned how to build and configure MCP servers in Tines, and how to use Tines as an MCP client to connect to external MCP servers.
Key points to remember:
MCP is a universal standard that enables AI clients to connect to external tools and services in a consistent way. Tines supports MCP bidirectionally, allowing you to both build MCP servers and connect to external MCP servers as a client.
Building MCP servers in Tines is straightforward using the MCP server template. You can add up to 25 tools per server (templates, send-to-story, or custom tools), configure access control to secure your server, and use ready-to-use configuration snippets to connect AI clients like Claude Desktop, Cursor, or VSCode.
Using Tines as an MCP client lets you connect to external MCP servers from within AI Agent actions, combining external tools with your Tines workflows. This bidirectional approach gives you maximum flexibility to build comprehensive AI ecosystems that both provide and consume capabilities.
By mastering MCP servers and clients, you've added a powerful capability to your Tines toolkit. You can now bridge the gap between your workflows and the growing ecosystem of AI applications, creating more intelligent and capable systems.
Next up
In the next module, you'll explore Story copilot, an AI-powered assistant that helps you build and refine Tines stories more efficiently by generating actions, suggesting improvements, and accelerating your workflow development.