# siftingio-mcp [![siftingio-mcp MCP server](https://glama.ai/mcp/servers/SiftingIO/siftingio-mcp/badges/score.svg)](https://glama.ai/mcp/servers/SiftingIO/siftingio-mcp) This is a [Model Context Protocol](https://modelcontextprotocol.io) (MCP) server that puts the [SiftingIO market-data SDK](https://github.com/SiftingIO/sdk-typescript) (`@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 ```bash npm install npm run build ``` You'll need an API key, which you can grab at : ```bash 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). ## 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](https://vitest.dev) 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: ```bash 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: ```bash 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 `Origin`s — 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 ` 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: ```bash 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`: ```bash 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: ```json { "mcpServers": { "siftingio": { "command": "node", "args": ["/absolute/path/to/siftingio-mcp/dist/index.js"], "env": { "SIFTING_API_KEY": "sft_..." } } } } ``` ## Tools (36) | 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. ### 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.