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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。
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
메뉴
用代码图谱索引仓库并查询架构、调用链、依赖和影响面。
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
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。
| 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.