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Live crypto/forex/metals prices, OHLCV bars, SEC fundamentals, 13F holdings and econ calendar.
Live crypto/forex/metals prices, OHLCV bars, SEC fundamentals, 13F holdings and econ calendar.
Valid MCP server (2 strong, 1 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.
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Set these up before or after installing:
Environment variable: SIFTING_API_KEY
Environment variable: SIFTING_BASE_URL
Environment variable: SIFTING_WS_URL
Add this to your MCP configuration file:
{
"mcpServers": {
"io-sifting-mcp": {
"env": {
"SIFTING_WS_URL": "your-sifting-ws-url-here",
"SIFTING_API_KEY": "your-sifting-api-key-here",
"SIFTING_BASE_URL": "your-sifting-base-url-here"
},
"args": [
"-y",
"siftingio-mcp"
],
"command": "npx"
}
}
}From the project's GitHub README.
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.
npm install
npm run build
You'll need an API key, which you can grab at https://sifting.io:
export SIFTING_API_KEY=sft_...
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).
Here's the toolbox:
npm run build — compile TypeScript into dist/.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 with tsx, no build step.npm test — run the vitest suite (add npm run test:watch to 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.
Want to poke at it by hand? The MCP inspector is the easiest way:
SIFTING_API_KEY=sft_... npx @modelcontextprotocol/inspector node dist/index.js
If you're running this somewhere remote or hosted, use MCP's Streamable HTTP transport instead of stdio:
SIFTING_API_KEY=sft_... PORT=3000 npm run start:http
# → MCP endpoint at http://127.0.0.1:3000/mcp (POST messages, GET SSE, DELETE session)
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:
MCP_AUTH_TOKEN=s3cret SIFTING_API_KEY=sft_... npm run start:http
Then just point any HTTP-capable MCP client at http://127.0.0.1:3000/mcp:
claude mcp add --transport http siftingio http://127.0.0.1:3000/mcp
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:
{
"mcpServers": {
"siftingio": {
"command": "node",
"args": ["/absolute/path/to/siftingio-mcp/dist/index.js"],
"env": { "SIFTING_API_KEY": "sft_..." }
}
}
}
| Namespace | Tools |
|---|---|
| Live (snapshot) | last_trade, last_quote, last_tvl |
| Stocks | stocks_search, stocks_profile, stocks_filings, stocks_filing, stocks_sections, stocks_section, stocks_risk_factors_diff, stocks_ratios, stocks_earnings, stocks_financials, stocks_financial_concept, stocks_insiders, stocks_ownership, stocks_events, stocks_compensation, stocks_screener, stocks_bars |
| Crypto / Forex | crypto_bars, forex_bars |
| DEX | dex_wallet |
| Markets | markets_list, markets_status_all, markets_status, markets_hours, markets_calendar |
| Filers | filers_holdings |
| Macro | economic_calendar_list |
| Live (stream) | ws_subscribe, ws_unsubscribe, ws_poll, ws_collect, ws_status, ws_disconnect |
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.
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:
ws_subscribe once, then keep
calling ws_poll. The first poll gives you a recent tail; feed the returned
next_seq back in as after_seq and you'll only get newer frames from then on.
ws_status shows you the connection and what's subscribed, and ws_disconnect
tears the whole thing down.ws_collect subscribes, waits up to duration_ms
(or until it's seen max frames), 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.
These are guided, multi-tool workflows your client can surface as slash-commands:
company_snapshot (ticker) — pulls stocks_profile, stocks_ratios, the
latest stocks_filings, and last_trade together 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.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.
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