بنقرة واحدة
codebase-memory-mcp
用代码图谱索引仓库并查询架构、调用链、依赖和影响面。
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
用代码图谱索引仓库并查询架构、调用链、依赖和影响面。
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
用本地多后端搜索网页、垂直站点、批量查询并抽取 URL 内容。
MUST USE when user wants to 调研/research/搜索/search/查/找/look up anything on the internet — e.g. 全网调研 X / 帮我调研一下 X / 查一下 X / 搜搜 X / 看看大家怎么评价 X / X 上有什么讨论 / research this topic。 Also MUST USE when user mentions any platform or shares any URL/链接: 小红书/xiaohongshu/xhs, Twitter/推特/X, B站/bilibili, Reddit, V2EX, LinkedIn/领英/招聘/求职/jobs, YouTube, GitHub code search, 小宇宙播客, 雪球/股票行情, RSS feeds, or any web URL. 13 platforms, multi-backend routing (OpenCLI / per-platform CLIs / APIs). Zero config for 6 channels. Run `agent-reach doctor --json` to see which backend serves each platform right now. NOT for: 写报告/数据分析/翻译等内容加工(本 skill 只负责从互联网获取内容); 发帖/评论/点赞等写操作;已有专门 skill 的平台(先用专门 skill)。 【路由方式】SKILL.md 包含路由表和常用命令,复杂场景需按需阅读对应分类的 references/*.md。 分类:search / social (小红书/推特/B站/V2EX/Reddit) / career(LinkedIn) / dev(github) / web(网页/文章/RSS) / video(YouTube/B站/播客)。
Daloopa 金融分析总入口。根据任务按需路由到九个内部工作流,不在顶层菜单重复展开。
生成或编辑 GPT Image 2 图片,支持换背景、透明素材和批量资产。
搭建 iOS 模拟器预览,让 Codex 构建、运行、检查 SwiftUI 应用。
修复 SwiftUI 中 header、loading、tab 等中心轴偏移问题。
استنادا إلى تصنيف SOC المهني
| name | codebase-memory-mcp |
| description | 用代码图谱索引仓库并查询架构、调用链、依赖和影响面。 |
| metadata | {"homepage":"https://github.com/DeusData/codebase-memory-mcp"} |
codebase-memory-mcp is a stdio MCP server for code intelligence. It is not a
standalone web service. The durable setup is:
Do not start it as a detached background process just to keep it alive; without an MCP client on stdin/stdout, that process is not useful.
Use this skill when the user asks for:
For exact filenames, literal strings, or quick local search, use rg first.
For structural questions, use the MCP tools below after indexing.
python -m venv "$env:USERPROFILE\.codebase-memory-mcp-venv"
& "$env:USERPROFILE\.codebase-memory-mcp-venv\Scripts\python.exe" -m pip install --upgrade pip codebase-memory-mcp
& "$env:USERPROFILE\.codebase-memory-mcp-venv\Scripts\codebase-memory-mcp.exe" install
& "$env:USERPROFILE\.codebase-memory-mcp-venv\Scripts\codebase-memory-mcp.exe" config set auto_index true
& "$env:USERPROFILE\.codebase-memory-mcp-venv\Scripts\codebase-memory-mcp.exe" config set auto_index_limit 50000
Verify:
& "$env:USERPROFILE\.codebase-memory-mcp-venv\Scripts\codebase-memory-mcp.exe" config list
Expected config:
auto_index = true
auto_index_limit = 50000
If install says indexes must be rebuilt, confirm only when the listed paths
are under the tool's own cache directory, such as
~/.cache/codebase-memory-mcp/.
Use MCP tools when available:
list_projects to see indexed project names.index_repository with repo_path and a mode:
fast for first validation or quick local work,moderate for normal cross-file work,full for deeper architecture/semantic analysis,cross-repo-intelligence when linking already indexed projects.index_status with the project name returned by list_projects.search_graph, trace_path, query_graph, get_code_snippet,
get_architecture, or detect_changes depending on the question.Do not guess the normalized project name. It may be derived from the path, for
example D-Toni-code-lotus; read it from index_repository, list_projects,
or an index_status hint.
fast indexing first if the goal is simply to prove the server works.detect_changes before relying on an older index for active repos.get_code_snippet or normal file reads before editing any returned path.rg, file reads, and the repo's normal tests.