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

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).

Related MCP server: Alpaca MCP Server

Run

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.

Inspect interactively

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

HTTP (Streamable HTTP) transport

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

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:

{
  "mcpServers": {
    "siftingio": {
      "command": "node",
      "args": ["/absolute/path/to/siftingio-mcp/dist/index.js"],
      "env": { "SIFTING_API_KEY": "sft_..." }
    }
  }
}

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_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.

• Collect, for a quick one-shot: 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.

Prompts

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.

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.