github / github/github-mcp-server

mcp diff

オープン
#2,942 コメント 0 件 リアクション 0 件 担当者 0 名 GitHub で見る
request ai review
主要言語
Go
スター
33k
フォーク
5k
平均マージ
2日 1時間
マージ済み PR(30日)
52

説明

the comment in mcp-diff.yml about keeping the go-sdk v1.6.1 to v1.7.0-pre.1 bump "an honest, signal-only diff" is the right instinct, and i think there's a natural second half to it.

a schema diff answers "did the declared tool surface change". [#1877](https://github.com/github/github-mcp-server/issues/1877) and [#2417](https://github.com/github/github-mcp-server/pull/2417) are the case where that isn't enough: inputs got silently stripped from actions_run_trigger under OpenAI strict mode, so the declared schema and the shape a strict client actually received had diverged. the tool list looked stable, what models could do with it wasn't.

the complementary check is behavioural. record one client to server session as an ordered list of tool calls and results, replay it against the bumped SDK, diff. that catches the layer a schema comparison structurally can't see: strict-mode coercions, dropped optional fields, changed error shapes, transport-level omissions.

disclosure: i maintain an open source tool that does the replay half (reelier, MIT, github.com/seldonframe/reelier). to be clear about ordering, the static diff is the cheaper gate and should stay first, this is a complement to mcp-server-diff rather than a replacement. happy to open a PR adding a replay step so you can see whether it earns its runtime, and to close it if it doesn't.

コントリビューションガイド

コントリビューションガイドを開く

調査の方向性

Start with the comment in mcp-diff.yml and inspect the existing mcp-server-diff static check. Review issues #1877 and #2417 for the strict-mode behavior described, then evaluate a replay step using the proposed client-to-server session model. Done means the check can report behavioral differences such as dropped fields or changed errors and its runtime cost is understood.

索引モデルが issue の本文から書いたものです。

評価

技術スタック
go
領域
testing, tooling
issue の種類
機能追加
難易度
4/5
見積もり時間
3〜5日
活発さ
静か
明瞭さ
おおむね明確
初心者へのやさしさ
48/100

新しい issue をメールで受け取る

初心者向けの GitHub issue を短くまとめたダイジェスト。