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inth3shadows/terse

Shrinks your AI agent's tool output so it burns fewer tokens, without changing what the agent reads. Lossless by default, no decode step.

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terse-mcp

inth3shadows/terse

MCP server Claude CodeCodexCursor +2

Lossless-first compression layer for AI-agent tool outputs — byte-faithful on fields you mark critical, configurable lossy reduction only where you opt in. Runs locally from the terse-mcp Python package.

not rated 2 3d ago A tokens not measured original MIT