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Stop Burning Your Context Window – How We Cut MCP Output by 98% in Claude Code

Stop Burning Your Context Window — We Built Context Mode

mksg.lu

February 28, 2026

4 min read

Summary

Context Mode is an MCP server that significantly reduces data output from tool calls in Claude Code, compressing 315 KB of data to just 5.4 KB, achieving a 98% reduction. This addresses the issue of rapid context window depletion, where tool interactions can consume a large portion of available context in a short time.

Key Takeaways

  • Context Mode reduces raw output data from tools by 98%, compressing 315 KB of output to just 5.4 KB.
  • The new system allows sessions to last up to 3 hours without context window depletion, compared to the previous limit of 30 minutes.
  • The sandbox architecture ensures that raw data from tool outputs does not enter the conversation context, preserving available tokens for user interactions.
  • The implementation of Context Mode requires no changes to user workflows, as it automatically routes tool outputs through the sandbox.

Community Sentiment

Positive

Positives

  • The 98% reduction in context window usage is a significant achievement, potentially leading to more efficient AI workflows and reduced costs.
  • Subprocess isolation with stdout-only constraints is a smart approach, minimizing unnecessary context accumulation and improving decision-making in multi-agent workflows.
  • Users are reporting substantial reductions in token usage, indicating practical benefits and effectiveness of the new context management strategy.

Concerns

  • There are concerns about the potential for edge cases where relevant utility functions might be missed due to the pre-compaction approach, which could impact model performance.
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Source

mksg.lu

Published

February 28, 2026

Reading Time

4 minutes

Relevance Score

69/100

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