io.github.levin-staudt由 GitHub 帳號 levin-staudt 發布v1.0.0更新於 Oct 24, 2026
Find llms.txt, docs, MCP servers, skills and CLIs for a tech stack, for coding agents.
發布方自己的服務：Red Atlas Api
一個遠端 MCP 伺服器，收錄廠商為編碼代理發布的 llms.txt、文件、MCP 伺服器、技能、規則與 CLI，可依工具或技術堆疊檢索。
Web executable，透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式，或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南，先向你展示發布者、端點和登入方式，經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/io.github.levin-staudt%2Fcontextatlas/install.md，並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前，先告訴我它的發布者、端點和登入方式，等我確認。不要把 API 金鑰寫進命令或我會提交的檔案；問我金鑰應從哪裡取得。把它新增到你客戶端的 mcpServers 設定中。
{
"mcpServers": {
"context-atlas": {
"type": "http",
"url": "https://contextatlas.dev/mcp"
}
}
}Live: https://contextatlas.dev (the old https://contextatlas.levinstaudt.workers.dev redirects there with a 301)
Chart a tech stack, or find the right sources for the one you have. Context Atlas collects the llms.txt indexes, docs, MCP servers, agent skills, rule files and CLIs that vendors publish for coding agents, grouped into cloud providers, frameworks, standards and CLIs.
The site only links to the sources; every source belongs to its vendor.
/ lists every source, filterable by search and by kind (the map legend)./agent has a copy button for a one-sentence prompt, either for an existing project (detect the stack, then follow the matching sources) or for a new one (propose a stack), and the command to add the MCP server./llms.txt holds the agent instructions and the full catalog; the prompt only links to it. /atlas.json has the same data as JSON./llms/<topic-id>.txt holds a single topic, for agents that need only one tool's sources./mcp is a stateless MCP server (Streamable HTTP) with the tools search, get_topic and list_topics: claude mcp add --transport http contextatlas https://contextatlas.dev/mcp./api/topics, /api/topics/<id> and /api/search?q=<words>&kind=<kind>&limit=<n> are the JSON API for the CLI (#13).All content lives in packages/core/src/catalog.ts. Add a Source to an existing topic, or a new Topic with a role and signals (how an agent detects it in a repo: file(...), dep(...), env(...) or hint(...)). Bump updatedAt. Then run bun run check; the catalog tests catch duplicate ids, bad URLs and malformed signals. The add-source skill has the details.
Everything the site serves is read from SQLite, which bun run seed (and every deploy) rebuilds from that file.
Bun workspaces, Hono in front for the agent files, the API and MCP, React Router (framework mode, server-rendered, Vite) for the pages, SQLite through Drizzle with FTS5 search, the MCP TypeScript SDK and Tailwind CSS.
來源：README.md，提交 97845e8
Search the catalog
Full-text search over tools (topics) and their sources. Matches names, roles, regions, detection signals (files, dependencies, env vars), source titles and URLs. Every word must match, as a prefix.
kindlimitquery必填Get a topic
All sources (llms.txt, docs, MCP servers, skills, rules), detection signals and the role of one tool, by id such as `vercel`, `nextjs` or `drizzle`.
id必填List topics
Every tool in the catalog with its id, name, role and region, without sources. Use it to find candidates per role, then get_topic and their llms.txt sources to compare them.
region已滿足適用檢查項的 90%
該評分衡量此收錄條目的完整程度，依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價，也不表示伺服器安全或目前可用：可連通性是帶日期的檢查結果，評分也不包含安裝量或使用者評價。
請在儲存庫或註冊中心條目中宣告授權條款。
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bun installbun dev # http://localhost:3000, hot reload for the pages, restart on server changesbun run check # lint, typecheck, tests: run before every commitbun run build # dist/: single binary (server + pages) + public/ + drizzle/bun run deploy # deploy main to the VPS through GitHub Actions