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Deploy any ML model as an MCP server! LitServe: The easiest way to deploy agents, RAG, and any ML model. Now supports MCP. 100% open-source.

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Akshay 🚀

284,218 subscribers

60,086 次观看 • 1 年前 •via X (Twitter)

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10 条评论

Akshay 🚀 的头像
Akshay 🚀1 年前

Link to LitServe GitHub repo: (don't forget to star 🌟)

Akshay 🚀 的头像
Akshay 🚀1 年前

If you found it insightful, reshare with your network. Find me → @akshay_pachaar ✔️ For more insights and tutorials on LLMs, AI Agents, and Machine Learning!

Avi Chawla 的头像
Avi Chawla1 年前

This is a really really cool idea. Love it

Akshay 🚀 的头像
Akshay 🚀1 年前

Glad you liked it Avi! :)

Shawn Chauhan 的头像
Shawn Chauhan1 年前

Open-source makes it way more accessible for devs

Akshay 🚀 的头像
Akshay 🚀1 年前

Absolutely 💯

Truong Hoang Dung 的头像
Truong Hoang Dung1 年前

what a pity, it uses Python.

Rusty Ray 的头像
Rusty Ray1 年前

Open-source support makes deployment far more flexible.

Riley Debuggs 的头像
Riley Debuggs1 年前

Open-source MCP support widens LitServe’s applicability. Interested to see benchmarks versus alternative deployment frameworks.

Code Weaver 的头像
Code Weaver1 年前

Curious—what performance impact comes with deploying via MCP compared to alternatives?

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