Building AI Agents: Code Execution with MCP reduces token usage by 98.7%

Nov 6, 2025 · 4:27 AM UTC

11
19
191
Full blog link: anthropic.com/engineering/co…

Code execution with MCP: building more efficient AI agents

Learn how code execution with the Model Context Protocol enables agents to handle more tools while using fewer tokens, reducing context overhead by up to 98.7%.

anthropic.com
3
14
Replying to @Saboo_Shubham_
A deep dive coming in tomorrow's edition of theunwindai.com 🤩

unwind ai

Open-source Ecosystem for High-Leverage AI Builders

theunwindai.com
1
6
🚀
3
Replying to @Saboo_Shubham_
Quite like Code Mode. Interesting!
1
3
yess!
3
Replying to @Saboo_Shubham_
That's an insane insight. Thanks for sharing!
1
4
You're welcome!
3
Replying to @Saboo_Shubham_
If anyone wonders where the 98.7% comes from, it's because the model can manipulate data without ever loading it into context
1
2
Replying to @Saboo_Shubham_
Tbh, @mitsuhiko is not getting enough credit for this thought leadership. His blog was the first time I saw this idea!!!
3
Replying to @Saboo_Shubham_
This explains why Maia is years ahead of other "general agents", even without the MCP support. We call it MMCP 🤧.
Replying to @Saboo_Shubham_
Wow, that's a massive reduction, Shubham! I wonder how this MCP approach impacts the overall efficiency of AI agents, you know?
Replying to @Saboo_Shubham_
Why not just API??
Replying to @Saboo_Shubham_
Thanks for sharing!
Replying to @Saboo_Shubham_
In which cases
Load more