
Sifting
io.sifting由 sifting.io 发布v1.0.2更新于 Oct 24, 2026
Live crypto/forex/metals prices, OHLCV bars, SEC fundamentals, 13F holdings and econ calendar.
概览
Sifting 让助手接入 SiftingIO 市场数据:加密货币、外汇与金属的实时价格、OHLCV K 线、SEC 基本面、13F 持仓和经济日历。
- 可以做什么
- 获取实时快照:加密货币、外汇与金属市场的最后成交价、最新报价与 TVL,以及市场列表、开闭市状态、交易时段和宏观经济日历。研究股票:搜索公司,读取简介、比率、盈利、财务数据与 XBRL 科目,浏览 SEC 申报文件及章节,对比风险因素,并按基本面筛选。查看持股与人员:内部人交易、机构持股、申报方的 13F 持仓、高管薪酬与公司事件。获取加密货币与外汇的历史 OHLCV K 线,查询 DEX 钱包活动。通过持久 WebSocket 订阅 cex、dex、fx、us、tvl 频道并轮询缓冲的实时数据流。
- 适用场景
- 当助手需要当前或历史市场数据——报价、K 线、SEC 申报与基本面、13F 持仓或宏观事件——来回答研究或简报类问题时使用。适合希望用一个服务器覆盖加密货币、外汇、金属与美股的金融工作流。
- 运行要求
- 以 Node.js 本地进程运行,从 npm 包 siftingio-mcp 安装(先构建再启动,或直接从源码运行)。需要 SIFTING_API_KEY 环境变量提供 SiftingIO API 密钥;SIFTING_BASE_URL 与 SIFTING_WS_URL 可覆盖后端地址。需要访问 SiftingIO API 与 WebSocket 的网络。另有 HTTP 传输模式,可用 MCP_AUTH_TOKEN 保护。
安装
在 SourceWeft 中
- 打开 控制台中的 Sifting,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
siftingio-mcp
This is a Model Context Protocol (MCP) server
that puts the SiftingIO market-data SDK
(@siftingio/sdk) in reach of your AI assistant. Once it's running, the model can
pull live prices, dig through SEC/EDGAR fundamentals, fetch OHLCV bars, look up 13F
holdings, check market status, and scan the macro economic calendar — all as tools.
Setup
You'll need an API key, which you can grab at https://sifting.io:
If you need to point at a different backend, SIFTING_BASE_URL and SIFTING_WS_URL
are there to override the defaults.
Working locally? Copy .env.example to .env instead — npm run dev and npm start
pick it up automatically (Node does the loading via --env-file-if-exists). When you
wire this into an actual MCP client, though, pass the key through the server's env
block rather than a file (there's an example further down).
Run
Here's the toolbox:
npm run build— compile TypeScript intodist/.npm start— run the compiled server (node dist/index.js) over stdio.npm run start:http— run it over Streamable HTTP (node dist/http.js).npm run dev/npm run dev:http— run straight from source withtsx, no build step.npm test— run the vitest suite (addnpm run test:watchto keep it running).npm run lint/npm run format— ESLint (typescript-eslint) and Prettier.npm run typecheck—tsc --noEmit.
On every push and PR, CI (.github/workflows/ci.yml) walks through the same gauntlet:
format check → lint → typecheck → build → test.
One thing worth knowing: the server talks JSON-RPC over stdio, so stdout belongs entirely to the protocol. Anything diagnostic goes to stderr to stay out of the way.
Inspect interactively
Want to poke at it by hand? The MCP inspector is the easiest way:
HTTP (Streamable HTTP) transport
If you're running this somewhere remote or hosted, use MCP's Streamable HTTP transport instead of stdio:
It's stateful: every client gets its own session (tracked by the mcp-session-id
header) and its own McpServer, while the upstream SiftingIO connection is shared
across the whole process. As a safety measure it only binds to loopback and turns
away non-local browser Origins — that's the DNS-rebinding protection. Set the port
with PORT (or MCP_HTTP_PORT); it defaults to 3000.
If you want auth, set MCP_AUTH_TOKEN and the server will demand
Authorization: Bearer <token> on every request (anything missing or wrong gets a
401). Pair that with a reverse proxy handling TLS and the token, and you can safely
expose the server past localhost:
Then just point any HTTP-capable MCP client at http://127.0.0.1:3000/mcp:
Use with an MCP client
Drop this into your client config — Claude Desktop's claude_desktop_config.json,
say, or use claude mcp add if you're on Claude Code:
Tools (36)
A few patterns are worth calling out:
Paginated tools take cursor/limit and hand back a meta.next_cursor to fetch the
next page. The stocks_* list tools — stocks_filings, stocks_earnings,
stocks_insiders, stocks_ownership, stocks_events, stocks_compensation — also
understand max_items: set it and they'll auto-paginate, gathering up to that many
items across pages in a single call.
The high-traffic tools (last_trade, last_quote, last_tvl, stocks_profile,
stocks_search) come with an output schema and return structuredContent
alongside the human-readable text, so clients can read them machine-side too.
Every tool also carries MCP annotations. The data tools are readOnlyHint: true
(and openWorldHint: true, since they reach out to the external API), while the
WebSocket tools that change connection state are readOnlyHint: false,
destructiveHint: false.
Results are size-capped at roughly 60k characters (see MAX_RESULT_CHARS in
src/util.ts). When a heavy endpoint — full XBRL financials, screeners, OHLCV bars —
returns more than that, the server trims its largest array and tacks on a _truncated
note explaining how to narrow the query.
Live WebSocket streaming
Streaming is the awkward case: it doesn't fit neatly into a single request/response.
So the server holds one persistent WebSocket open, buffers the frames as they
arrive, and the tools just read from that buffer. Channels (the product field) are
cex (crypto), dex (DEX trades), fx (forex), us (US stocks), and tvl (DEX
pool TVL).
There are two ways to work with it:
- Subscribe + poll, for ongoing streams: call
ws_subscribeonce, then keep callingws_poll. The first poll gives you a recent tail; feed the returnednext_seqback in asafter_seqand you'll only get newer frames from then on.ws_statusshows you the connection and what's subscribed, andws_disconnecttears the whole thing down. - Collect, for a quick one-shot:
ws_collectsubscribes, waits up toduration_ms(or until it's seenmaxframes), returns what it caught, and cleans up any subscription it had to create. Perfect for "grab me a few seconds of BTCUSD."
The connection reconnects on its own and replays your subscriptions when it does. The
buffer is a rolling window, so the oldest frames eventually fall off — and when they
do, you'll hear about it through dropped/gap.
Prompts
These are guided, multi-tool workflows your client can surface as slash-commands:
company_snapshot(ticker)— pullsstocks_profile,stocks_ratios, the lateststocks_filings, andlast_tradetogether into one briefing.compare_companies(tickers)— lines up several tickers side by side across the key ratios.market_now— what's open and closed right now, plus the high-impact macro events coming up.
Logging & shutdown
The server advertises the MCP logging capability and pushes structured
notifications/message to the client whenever something happens with the connection
(WebSocket open/close/reconnect/error) or on shutdown — and it mirrors all of that to
stderr too.
When it catches a SIGINT or SIGTERM, it closes the live WebSocket and shuts the server down cleanly before exiting.
来源:README.md,提交 40a31aa
工具
0版本历史
1- v1.0.2最新Sep 16, 2026
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