io.github.deficlow由 GitHub 帳號 deficlow 發布v0.1.1更新於 Oct 24, 2026
Search and inspect 6,500+ curated AI apps from the HyperStore directory.
發布方自己的服務：Zipp
把 HyperStore 收錄的 6500 多款 AI 應用程式目錄開放給助理，可依關鍵字、意圖、分類、族群或使用情境搜尋、篩選與比較工具。
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.deficlow%2Fhyperstore-mcp/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": {
"hyperstore": {
"type": "http",
"url": "https://mcp.store.hypergpt.ai/mcp"
}
}
}Plug 6,500+ AI apps into any LLM via the Model Context Protocol.
[PyPI] [Glama] [Smithery] [MCP Registry] [CI] [License: MIT]
HyperStore is a curated directory of 6,500+ AI applications, developed by HyperGPT. This MCP server exposes the HyperStore catalog to any LLM client — Claude, ChatGPT, Cursor, Windsurf, Cline, Zed, Gemini, and anything else that speaks MCP.
Ask your LLM:
"Find me a free AI tool that summarises PDFs." "Compare ChatGPT, Claude, and Gemini side-by-side." "Show me the top 5 image-generation apps with an API."
The LLM calls HyperStore MCP behind the scenes and answers with up-to-date, curated results.
13 tools:
3 resources:
hyperstore://app/{slug} — markdown rendering of any apphyperstore://category/{slug} — top apps in a categoryhyperstore://catalog — full category index3 prompts:
find_tool_for_task — guided discovery for a taskcompare_apps — side-by-side app comparisondiscover_category — explore a topicuvx (zero install, recommended)Requires uv. One command and you're done:
pipxUse our managed Streamable HTTP server:
Edit ~/Library/Application Support/Claude/claude_desktop_config.json
(macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
Restart Claude → tools appear in the 🛠 menu.
.cursor/mcp.json (project) or ~/.cursor/mcp.json (global):
~/.codeium/windsurf/mcp_config.json:
settings.json:
~/.config/zed/settings.json:
~/.gemini/settings.json:
Settings → Connectors → Add custom connector:
https://mcp.store.hypergpt.ai/mcpSee examples/ for ready-to-paste configs for every supported client.
For self-hosting, use the Docker image.
For direct invocation without Docker, the CLI accepts --transport http|sse
(see hyperstore-mcp --help).
When self-hosting, these environment variables can be set
(see .env.example for the full list):
Inspect the running server with the official MCP Inspector:
HyperStore MCP is a thin async wrapper around the HyperStore public REST API. It is read-only — no credentials, no writes, no PII. The same data that powers the website powers the MCP server. Updates land in your LLM the moment they land on the site.
MIT © HyperGPT
來源：README.md，提交 0b66aad
Search HyperStore's AI apps directory by keyword. Returns a paginated list of matching apps with name, slug, short description, pricing, and rating. Use this when the user gives concrete keywords (e.g. 'image upscaler', 'code copilot').
limitquery必填cursorNatural-language semantic search powered by embeddings. Best for fuzzy intent ('a tool that helps me write Python tests', 'something like Midjourney but free'). Returns up to 12 apps ranked by semantic similarity.
prompt必填Fetch the full detail page for a single AI app by slug: long description, features, screenshots, categories, pricing, rating, website URL, source attribution.
slug必填Paginated apps listing with optional filters. Combine `category`, `pricing`, and a free-text `query` to drill down. Returns apps sorted by popularity. Use `cursor` (last app id from previous page) to paginate.
limitquerycursorpricingcategoryList all HyperStore categories with app counts. Use this first when the user asks 'what kinds of AI tools are there?' or to discover available category slugs.
無需輸入參數。
Get apps within a specific category. Returns the category metadata plus a paginated list of apps in that category, sorted by popularity.
slug必填limitcursorpricingBrowse apps A-Z by starting letter. Use letter='#' for apps starting with digits or symbols. Useful for alphabetical discovery rather than search.
limitcursorletter必填pricingFetch the HyperStore homepage payload: top categories with their featured apps, the trending apps strip, and totals. Good first call to give the user a broad overview.
pageGet curated alternatives to a specific AI app by slug. Returns the app plus a list of competing/similar tools ranked by match confidence. Use this when the user asks 'what are alternatives to X', 'something like X', or 'X vs others'.
slug必填limitList the audience segments HyperStore curates tools for (e.g. 'developers', 'lawyers', 'students'), each with a slug and app count. Call this first to discover audience slugs for `apps_for_audience`.
無需輸入參數。
Get the best AI tools for a specific audience by slug (from `list_audiences`), ranked by relevance then popularity. Use when the user asks 'best AI tools for {role/profession}'. Paginate with `cursor` (last app id from the previous page).
slug必填limitcursorList the use-case taxonomies HyperStore curates tools for (e.g. 'legal-contracts', 'tiktok-shorts'), each with a slug and app count. Call this first to discover use-case slugs for `apps_for_use_case`.
無需輸入參數。
Get AI tools for a specific use case by slug (from `list_use_cases`), ranked by relevance then popularity. Use when the user asks 'AI tools for {task}'. Paginate with `cursor` (last app id from the previous page).
slug必填limitcursor已滿足適用檢查項的 100%
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。
uvx hyperstore-mcppipx install hyperstore-mcphyperstore-mcpdocker run --rm -p 8080:8080 ghcr.io/deficlow/hyperstore-mcp# Now MCP Streamable HTTP at http://localhost:8080/mcphttps://mcp.store.hypergpt.ai/mcp{ "mcpServers": { "hyperstore": { "command": "uvx", "args": ["hyperstore-mcp"] } }}claude mcp add hyperstore -- uvx hyperstore-mcp{ "mcpServers": { "hyperstore": { "command": "uvx", "args": ["hyperstore-mcp"] } }}{ "mcpServers": { "hyperstore": { "command": "uvx", "args": ["hyperstore-mcp"] } }}{ "cline.mcpServers": { "hyperstore": { "command": "uvx", "args": ["hyperstore-mcp"] } }}{ "context_servers": { "hyperstore": { "command": { "path": "uvx", "args": ["hyperstore-mcp"] } } }}{ "mcpServers": { "hyperstore": { "command": "uvx", "args": ["hyperstore-mcp"] } }}from openai import OpenAI
client = OpenAI()response = client.responses.create( model="gpt-4.1", tools=[{ "type": "mcp", "server_label": "hyperstore", "server_url": "https://mcp.store.hypergpt.ai/mcp", "require_approval": "never", }], input="Find me 3 free AI tools for writing unit tests.",)print(response.output_text)from anthropic import Anthropic
client = Anthropic()response = client.messages.create( model="claude-opus-4-7", max_tokens=1024, mcp_servers=[{ "type": "url", "url": "https://mcp.store.hypergpt.ai/mcp", "name": "hyperstore", }], messages=[{"role": "user", "content": "Top 5 AI image generators?"}],)git clone https://github.com/deficlow/HyperStore-MCPcd HyperStore-MCPuv sync --all-extrasuv run pytestuv run hyperstore-mcp # stdio mode for local testingnpx @modelcontextprotocol/inspector uvx hyperstore-mcpLLM client ──MCP──▶ hyperstore-mcp ──HTTPS──▶ store.hypergpt.ai/api