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Replacing Linear MCP with linear-CLI

A developer switched from Linear's official MCP server to the unofficial linear-cli tool and estimates the change saves between 5k and 25k tokens per session, according to a comparison run by Claude across 71 tickets. The median update-issue operation consumed 3,061 characters through MCP versus 211 through the CLI (14.5×), while reading an issue without comments took 3,721 characters via MCP versus 2,311 via CLI (1.6×) and reading with comments took 4,531 versus 2,615 (1.7×). The author attributes the gap to MCP's get_issue returning 31 fields, including always-null SLA timestamps such as slaStartedAt and slaHighRiskAt, and to MCP's update_issue response being nearly as large as its read payload, with neither MCP tool accepting a parameter to shrink the response.

read1 min views2 publishedSep 21, 2026

/github.com

Linear is one of my favorite software finds of the last few years. I’m not as big of a fan when it comes to their token-hungry MCP server though. I recently switched to this (unofficial) CLI and my rough estimate is that it saves me between 5k to 25k tokens a session.

I asked Claude to sample the differences and it came back with medians based on 71 tickets. Note the unit here is characters:

Operation MCP CLI MCP ÷ CLI
Update issue 3,061 211 14.5×
Read (no comments) 3,721 2,311 1.6×
Read (with comments) 4,531 2,615 1.7×

The explanation for both differences is simple and comes down to sane defaults and flexibility, both of which the MCP lacks: get_issue returns thirty-one fields. Those include the issue’s body and status, but also fields like slaStartedAt, slaMediumRiskAt, slaHighRiskAt, slaBreachesAt. The last few are always null in my workspace. The CLI doesn’t return them by default.

For updates, the CLI returns a simple success message while the MCP’s update_issue response is almost as big as the read payload. Neither MCP tools accepts a parameter that makes its response smaller.

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