Want to explore how Micepe could fit your use case?
👉 Join the Micepe Beta Program: micepe.io

👏 Kudos, Sébastien, for helping spread the word and showcasing how Micepe accelerates MCP adoption in real-world scenarios!

🎥 "30 minutes to understand MCP Model Context Protocol" by @sebi2706 👉 youtu.be/khRkbvTuPX4?...

It’s truly inspiring to see experts and Java Champions like @sebi2706.bsky.social sharing their experiences and early feedback from the Micepe Beta Program with such a passionate audience.

#DeveloperExperience

🔗 Also: If you want to 𝘀𝘁𝗮𝘆 𝘂𝗽𝗱𝗮𝘁𝗲𝗱 or 𝗷𝗼𝗶𝗻 𝘁𝗵𝗲 𝗯𝗲𝘁𝗮, check out Micepe’s links in the article or on our website micepe.io

In this post, we explore how Micepe addresses these challenges, from client-to-server authentication and authorization choices to backend API credential management strategies.

If you’re designing or evaluating MCP-based systems at scale, this is worth a read 🙌

🚀 And this is just the beginning:
You can expose your own #GraphQL, #REST, or #gRPC services to AI with zero boilerplate, instantly making them consumable by MCP-enabled clients and agents.

👉 Check out all our demos on YouTube: youtube.com/@Micepe

💡 Why it matters:
- Micepe translates gRPC services (like Firestore) into AI-ready MCP tools from their protobuf specs.
- This bridges the gap between cloud services and AI agents.
- Developers can now connect Firestore or any gRPC API seamlessly into their MCP ecosystem.

Cherry Studio is a fantastic tool we genuinely love, highly recommended! Try it out: github.com/CherryHQ/che...