🤖 AI Summary
Jilebi has announced an innovative approach to integrating Model Control Protocols (MCPs) with AI tools, allowing developers to easily convert MCPs into plugins. This simple setup can be accomplished with a single command, such as `jilebi plugins add context7`, significantly streamlining the integration process for coding agents. By utilizing deno_core and rustyscript, Jilebi ensures a secure environment where plugins operate in a sandboxed manner, restricting access to the network and file systems unless explicitly permitted by the user during installation.
This development is particularly significant for the AI/ML community as it simplifies MCP development, allowing developers to concentrate on tools and resources rather than backend infrastructure. Jilebi currently supports standard input/output and plans to expand compatibility with Server-Sent Events (SSE), HTTP, and OAuth in the future, fostering broader plugin contributions from various AI tools. This could accelerate the advancement of AI capabilities and promote collaboration within the community while adhering to the evolving MCP specifications.
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