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Docker's Pi project has achieved a significant milestone by surpassing 100,000 stars on GitHub, indicating a rapidly growing community. The team has hinted at an upcoming release of Pi v2, although specific details and a release date have not yet been disclosed.
Pi says it has crossed 100,000 stars on GitHub, calling it a sign its community is “growing faster than ever.” The project also teased that Pi v2 is coming soon, but didn’t share a release date or details.
When MCP expands from a couple local servers to hundreds, AI coding starts failing in familiar ways: bloated context windows, wasted tokens, and tool results drowning the signal. This video breaks down Docker’s dynamic approach to MCP and how it’s meant to keep agents lightweight while still supporting more autonomous, tool-driven workflows. Key takeaways Clarifies the MCP challenges Docker calls out: which servers to trust, how to avoid shipping unused tool definitions into context, and how agents can discover/configure tools efficiently. Shows Docker’s MCP catalog of verified servers and a setup where your MCP client connects to Docker while Docker manages your MCP servers. Explains the MCP gateway and tools like MCP find/add/remove for pulling in only the tools you need. Demonstrates “code mode,” where agents generate JavaScript-enabled tools that can call other MCP tools, run in a sandbox, and persist state via volumes.