Hacktoberfest 2026:维护者为十月标记出来的 issue,仍然开放、适合新手。 浏览 Hacktoberfest issue

Publish a lightweight client compatibility matrix for popular AI hosts

未关闭
#20 0 条评论 0 个 reaction 已指派 0 人 在 GitHub 查看

还没有人认领这个 Issue。

评估

难度
2/5
预计耗时
1-3 小时
新手友好度
56/100
Issue 类型
文档
描述清晰度
描述清楚
活跃度
停滞
领域
documentation

调研方向

Start with the main README, then inspect tests/integration/ and docs/settings/ to find existing client support, test scripts, authentication methods, transport assumptions, and setup links. Add a concise compatibility matrix under docs/, link it from the README, and base tested status on the integration scripts; done when the requested client information is centralized.

由索引模型根据 Issue 内容生成。

描述

Opened by @francescobianco from local draft 10-client-compatibility-matrix.md.

Summary

This repo already hints at support for several MCP consumers, but it is hard to tell which paths are officially tested versus inferred from examples. A lightweight compatibility matrix would reduce guesswork for users evaluating this server with modern AI tooling.

Reproduction

  1. Read the main README.
  2. Inspect tests/integration/ and docs/settings/.
  3. Try to answer: "Is this tested with Claude Code, Codex CLI, OpenAI Responses API, VS Code, Cursor, or Continue?"
  4. The answer is not centralized.

Expected

A concise matrix listing:

  • client name
  • status: tested, documented, or community-supported
  • auth method
  • transport assumptions
  • link to setup docs

Actual

Support information is spread across the repo.

Why this is a good first issue

This is a small documentation task with high user impact and no protocol changes.

Suggested acceptance criteria

  • Add a compatibility matrix page under docs/.
  • Link it from README.md.
  • Base the "tested" rows on existing scripts in tests/integration/.
主要语言
Python
星标
22
派生
4
PR 合并指标
30 天内没有已合并 PR

环境准备

  • 提供 Dockerfile 或 Docker Compose 文件
  • 没有 Pull Request 模板
  • 阅读贡献指南

从这里开始

  1. 先读完整个 Issue,再读项目的贡献指南。
  2. 在 Issue 下留言说明你要接手 —— 这能避免两个人做同样的事。
  3. Fork 仓库,在一个分支上完成修改。
  4. 提交 Pull Request,并在描述里引用这个 Issue 编号。

openapi/mcp-server 的其他 Issue

查看 openapi/mcp-server 的全部 Issue

相似的 Issue

更多 Python Issue

把新 issue 发到你的邮箱

精选适合新手参与的 GitHub issue 摘要。