
Oneshot Mcp
com.oneshotpacks由 oneshotpacks.com 发布v0.1.2更新于 Oct 24, 2026
Search receipt-verified agent build packs, with each pack's real M-of-N pass rate.
概览
让编码助手在编辑器内搜索并查看 OneShot 的付费、凭据验证构建包,包括真实的 M/N 通过率。
- 可以做什么
- 按关键词(技术栈、问题或细分领域)搜索目录,返回标题、一句话简介、价格与验证状态
- 紧凑列出整个目录,含每个包的 slug、细分领域、价格与验证状态
- 查看单个包的完整详情:包含内容、架构要点、规模范围、常见问题、凭据事实、价格、退款说明与购买链接
- 在无法获取任何目录来源时如实说明,而不是提供过期数据
- 适用场景
- 适合在开发过程中确认是否已有针对当前需求的已验证构建包,并在决定购买前查看价格、退款条款与凭据事实。
- 运行要求
- 以 stdio 在本地运行,需要 Node.js 22.6 或更高版本;README 说明尚未发布到 npm,在此之前需指向已检出的仓库路径。需要能访问默认目录网址,或本地 packs 目录。可选环境变量 ONESHOT_CATALOG_URL、ONESHOT_SITE_URL 和 PACKS_DIR 可覆盖默认值。
安装
在 SourceWeft 中
- 打开 控制台中的 Oneshot Mcp,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
README
oneshot-mcp
An MCP server that lets your coding agent query the OneShot catalog of receipt-verified build packs without you leaving your editor. Mid-build, your agent can ask "is there a verified pack for this?" instead of you having to remember to check the storefront.
Why you'd add this (honestly)
This is a vendor catalog: it lets your agent query OneShot's own paid build
packs, plus their verification data, from inside your normal workflow. It's
worth adding because it's useful independent of whether you ever buy anything
-- search_packs and list_packs tell you plainly whether a receipt-verified
pack exists for what you're building, with real "M of N runs passed" numbers,
not marketing copy. get_pack puts the price, refund terms, and exact receipt
facts in front of you before you decide anything. But be clear-eyed about what
it is: this is OneShot listing its own products to your agent, not an
independent recommendation engine. It never calls a pack "best" or invents a
verification a receipt doesn't support, and every result carries the price and
refund pointer -- but the catalog is ours, and every entry in it is something
we sell.
Tools
search_packs({ query, limit? })-- keyword search (stack, problem, or niche) over the catalog. Returns matching packs: title, one-liner, price, verification status stated exactly as the receipt supports (e.g."3 of 3 clean-room runs passed", or"unverified"if no receipt exists yet), a receipt summary, the refund-policy pointer, and the storefront URL. Never ranks or calls a result "best" -- describes each match and leaves the decision to the caller.get_pack({ slug })-- full detail for one pack: what you get, architecture-decision highlights, scale envelope, FAQ, exact receipt facts (per-check pass/fail, model, token/wall-time cost) when verified, price, refund pointer, and the buy URL.list_packs()-- the whole catalog, compact: slug, title, one-liner, niche, price, and verification status per pack, plus the refund-policy summary once.
Data source: fetch-with-fallback (not a bundled catalog)
Two options were on the table: read packs/*/pack.yaml + receipt/receipt.json
LISTING.mdlive at runtime, or ship a generatedcatalog.jsonbaked into the npm package. Chosen: live reads, preferring the storefront's/catalog.jsonover a local checkout, in that order:
- Try
GET $ONESHOT_CATALOG_URL(defaulthttps://oneshotpacks.com/catalog.json, 3s timeout). Accepts either a bare array of pack objects or{ "packs": [...] }. - If that fails for any reason -- network error, non-2xx, not JSON, wrong
shape -- fall back to reading
packs/*/pack.yaml+LISTING.md+receipt/receipt.jsondirectly off disk under$PACKS_DIR(default../packs, resolved from the current working directory -- matchesstorefront/lib/packs.ts's own convention when both this package andpacks/sit at the repo root). - If neither source has anything,
list_packs/search_packssay so plainly (catalog_source: "none"+ an explanatory note) instead of serving stale bundled data. This server never fabricates catalog contents.
A baked-in catalog.json was rejected because it goes stale the moment a
pack is re-verified or newly listed, and every server update would then
require a new npm release just to refresh data the storefront already has
live. Live reads cost one fetch + a YAML parse -- the same low cost the
storefront's own loader pays -- and stay fresh without a redeploy of this
server, which is the whole point per docs/03-marketing-distribution.md Lever 2.
The storefront's /catalog.json endpoint is being built concurrently by a
colleague and may not exist yet. This server does not depend on it existing:
any fetch failure (including a plain 404 today) is treated as "not there yet"
and falls straight through to the local-file fallback, logged to stderr, no
crash. Once /catalog.json ships, this server picks it up automatically on
its next 5-minute cache refresh -- no config change needed as long as it's at
the default URL.
Responses are cached in-process for 5 minutes so a long-lived stdio session doesn't refetch on every tool call.
Install
Not yet published to npm (publishing is step one of the launch checklist --
see docs/09-launch-checklist.md). Until then, point your MCP client at the
absolute path of this checked-out repo. After publishing, switch to the npx
form -- same shape, just swap command/args.
Claude Code
Add to your project's .mcp.json (or via claude mcp add):
Once published to npm:
Cursor
Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (project):
Once published to npm, same swap as above ("command": "npx", "args": ["-y", "oneshot-mcp"]).
Env vars (optional, either client config's env block or your shell)
Requirements
Node >= 22.6 (uses Node's built-in TypeScript type-stripping to run .ts
source directly -- no build step, no bundler, no tsc in the loop).
Development
test/tools.test.ts exercises search_packs, get_pack, and list_packs
directly against fixture data in fixtures/packs/ (not through the MCP
protocol -- the tool logic in src/catalog.ts is plain, transport-agnostic
functions; src/index.ts only wires them to the SDK). Coverage: a search hit,
a search miss, an unverified pack rendered honestly (no fabricated pass rate),
a malformed pack.yaml skipped without crashing the rest of the catalog, and
the full fetch-with-fallback chain (remote success, remote 404, remote
network error, malformed remote shape, remote-entry-level tolerance, and TTL
caching).
来源:README.md,提交 f4a30ec
工具
0版本历史
1- v0.1.2最新Sep 16, 2026
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