Context7
Up-to-date docs for AI agents
作者提供的说明(英文原文)
Rank supplied codebase search hits by relevance and recency, with file-owner context.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"codescout": {
"command": "npx",
"args": [
"-y",
"@reneturcios/codescout",
"mcp"
]
}
}
}在终端中运行这条命令
claude mcp add codescout -- npx -y @reneturcios/codescout mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"codescout": {
"command": "npx",
"args": [
"-y",
"@reneturcios/codescout",
"mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"codescout": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@reneturcios/codescout",
"mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日
注册名称已通过 GitHub 账户 CloudCorpRecords 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.1.0)于3天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js, Docker。
同一分类中有:Context7, Codebase Memory, Exa
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
A codebase search is only half the job: once a search returns dozens of files, someone still has to decide which ones to open first. codescout makes that decision with one fixed, inspectable rule. You hand it the hits you already have — for each one, the file it is in, how many matches the file holds, how many days have passed since the file last changed, and, when you know it, who owns the file — and it hands back the hits ranked, best first, each with its score and the owner context attached. It runs no search of its own and touches no index; the ranking rule is the whole tool.
Every hit is scored the same way: matches * 100 - last_modified_days. A hundred points per match means relevance dominates, while each day of age quietly drags a file down — an old file with a single match can score below zero, and that negative score is reported as-is rather than clamped. Ranking follows the score, and ties are settled in a fixed order: more matches first, then the more recently changed file, then the path in code-unit order. Because the rule never changes, the same set of hits always produces the same ranked list, whatever order you supplied them in.
Only the top of the list comes back: limit caps how many results are returned and defaults to 10. Each returned entry carries a rank, its 1-based position in the returned list, alongside the echoed path, matches, last_modified_days, and owner. Ownership has one pinned judgement call: an owner that is absent, empty, or only whitespace means the file is unowned, and its owner is reported as null; any other owner string is echoed exactly as supplied. The counts report how many hits went in and how many came back.
Malformed input — a missing or empty hit list, a hit that is not an object, a missing, empty, or non-string path, a matches count that is missing, fractional, or below 1, a last_modified_days that is missing, fractional, or negative, a non-string owner, or a limit below 1 — is a validation error naming the offending path, with no partial result. Two hits for the same path are an error naming the duplicated path. Unknown extra fields are ignored.
npx @reneturcios/codescout rank --input args.json
npx @reneturcios/codescout --version
args.json contains the full arguments object:
{
"hits": [ { "path": "src/search/rank.ts", "matches": 14, "last_modified_days": 2, "owner": "alice" }, { "path": "src/legacy/old-index.ts", "matches": 1, "last_modified_days": 240 }, { "path": "src/search/tokenize.ts", "matches": 9, "last_modified_days": 30, "owner": "bob" } ], "limit": 2 }
The ranked list is printed as JSON:
{
"results": [ { "path": "src/search/rank.ts", "matches": 14, "last_modified_days": 2, "owner": "alice", "score": 1398, "rank": 1 }, { "path": "src/search/tokenize.ts", "matches": 9, "last_modified_days": 30, "owner": "bob", "score": 870, "rank": 2 } ], "counts": { "hits": 3, "returned": 2 } }
The third hit scores 1 * 100 - 240 = -140, so the limit of 2 leaves it out entirely.
Exit codes: 0 on success, 1 on a runtime error (including an unreadable or invalid input file, or invalid input), 2 on a usage error.
npx -y @reneturcios/codescout mcp
MCP client config:
{
"mcpServers": { "codescout": { "command": "npx", "args": ["-y", "@reneturcios/codescout", "mcp"] } } }
rank_search_results — Rank caller-supplied codebase search hits by a pinned relevance and recency score, with file-owner context attached.hits (array, required, at least 1 item) — the search hits to rank, in the caller's order; each item:path (string, required, non-empty) — file the hit is inmatches (integer, required, at least 1) — number of matches in the filelast_modified_days (integer, required, at least 0) — days since the file last changedowner (string, optional) — file owner; absent, empty, or whitespace-only means unownedlimit (integer, optional, at least 1, defaultReturns {results, counts}, where results holds one {path, matches, last_modified_days, owner, score, rank} per returned hit in ranking order (owner is null when unowned, score is matches * 100 - last_modified_days, and rank is 1-based by position in the returned list), and counts is {hits, returned}.
docker run -i ghcr.io/cloudcorprecords/codescout
docker run --rm -v "$PWD:/w" ghcr.io/cloudcorprecords/codescout rank --input /w/args.json
npm install
npm run build # tsc -> dist/ npm test # tsx --test test/*.test.ts (pure local, no network) npm run dev # run the CLI from source
MIT — Copyright (c) 2026 Rene Turcios