push_files / create_or_update_file have no way to write large content without inlining it in the tool call

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評估

難度
5/5
預估耗時
一週以上
新手友好度
35/100
Issue 類型
功能
描述清晰度
基本清楚
活躍度
活躍
技術堆疊
github, go
領域
api, devtools

研究方向

Start by locating the implementations of push_files and create_or_update_file, then trace how file content is serialized into GitHub API calls. Compare the available blob, tree, and commit operations described in the issue and check whether the server exposes any existing streaming or upload pattern. Done means callers can write large files without sending all content inline, or have a documented supported size ceiling.

由索引模型根據 Issue 內容生成。

描述

push_files and create_or_update_file require the full file content inline in the tool call, with no option for a file-by-reference upload or chunked/streaming write for large files.

Repro:

  • Call push_files with one file whose content is on the order of 2-3 MB of text.
  • The call either fails or risks truncation because the entire content must be serialized into the tool call's JSON payload.

Expected: some way to push large files without having to pass the complete content inline in a single call, e.g. a multipart/chunked write, or accepting a pre-uploaded blob SHA (the REST API's own git blob + tree + commit flow would allow this, but there is no MCP tool here that exposes creating a blob from a stream or from a size that exceeds a reasonable tool-call payload).

Actual: the only way to commit large text content through this MCP server is to pass it whole inline, which breaks down well before typical repo file sizes (multi-MB text exports, long logs, etc.).

Ask: expose a way to create a blob/commit for large content without it having to round-trip through a single tool call's inline payload, for example a tool that accepts a local-file-style streamed upload, or document a supported size ceiling so callers know when to split rather than discovering it empirically.

主要語言
Go
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環境準備

從這裡開始

  1. 先讀完整個 Issue,再讀專案的貢獻指南。
  2. 在 Issue 下留言說明你要接手 —— 這能避免兩個人做同樣的事。
  3. Fork 儲存庫,在一個分支上完成修改。
  4. 送出 Pull Request,並在描述裡引用這個 Issue 編號。

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