
AlphAI
io.github.makeev由 GitHub 帳號 makeev 發布v0.2.0更新於 Oct 24, 2026
Financial news for AI agents: search, trending, insider, earnings reads, macro, scored 1-10.
概覽
託管式財經新聞 MCP 伺服器,讓助理檢索帶評分的市場新聞、內部人申報、財報與總體事件,涵蓋美股等標的。
- 可以做什麼
- 依查詢字詞、股票代號、類別或日期搜尋並取得新聞,另提供熱門文章與多來源報導,附逐標的解析與 1–10 相關性評分。取得單篇文章,以及供研究類用戶端使用的可引用檢索與擷取結果。檢視 SEC Form 4 內部人交易新聞,以及多名內部人公開市場買進的群集。閱讀經申報核實的財報解析與下次報告日期,以及 CPI、FOMC 等預定總體發布及後續報導。透過雷達追蹤市場或自選清單的新聞活躍度與語氣,並列出、訂閱或取消訂閱標的提醒。
- 適用情境
- 適合需要取得經過篩選的即時市場新聞、內部人交易訊號、財報解析或總體行事曆的助理,例如用於研究簡報或自選清單監控,涵蓋美股、ETF、加密貨幣與境外上市標的。不適用於投資建議或全文取得。
- 執行需求
- 遠端 Streamable HTTP 端點,無需自行架設。透過相容用戶端進行 OAuth 2.1 登入(以瀏覽器完成,無需貼上 API 金鑰);無介面用戶端可在 Authorization 標頭以 Bearer 方式送出 API 金鑰。免費額度為每分鐘 20 次、每天 100 次請求;付費方案為每月 2.99 美元或 9.99 美元。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 AlphAI,將其新增到工作區。
- 連接 所需的 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
- 為需要使用其工具的對話啟用該服務。
Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
交給代理程式安裝
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/io.github.makeev%2Falphai-mcp/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。其他 MCP 客戶端
把它新增到你客戶端的 mcpServers 設定中。 客戶端會在首次連接時完成 OAuth 登入。
{
"mcpServers": {
"alphai": {
"type": "http",
"url": "https://mcp.alphai.io/mcp"
}
}
}README
AlphAI MCP server
[License: MIT] [Official MCP Registry] [Smithery] [mcp.so] [Glama] [Mentioned in Awesome MCP Servers]
A Model Context Protocol (MCP) server for financial
news, stock market sentiment and SEC Form 4 insider trading data — built for AI agents
and trading bots. Hosted at mcp.alphai.io, no install, OAuth (no API key to paste),
free tier 20 req/min and 100 req/day.
Every story is enriched with per-ticker analysis, a category (14 buckets), and a 1–10 relevance score, so an agent can filter to what actually matters before spending a reasoning token.
This repo is the public home +
server.jsonmanifest of the hosted AlphAI MCP server (the listing on Smithery, Glama, mcp.so, the MCP Registry and Awesome MCP Servers). The product is AlphAI — a financial-news platform built for AI agents. There is nothing to self-host: to use it, just connect tohttps://mcp.alphai.io/mcp.
Connect
The server speaks Streamable HTTP at https://mcp.alphai.io/mcp. Add it to any
OAuth-capable MCP client. Claude Code:
Connecting opens a browser for OAuth 2.1 (DCR + PKCE) — a login, no key to copy-paste. ChatGPT, Claude Desktop / claude.ai, Cursor, VS Code, Windsurf and Gemini connect the same way. Or use the one-click listing on Smithery.
JSON config clients (Cline, Cursor and similar):
Other clients
Tools (21)
MCP Server URL: https://mcp.alphai.io/mcp
alphai_news_search- Full-text + filtered news search (query, tickers, category, dates, relevance)alphai_ticker_news- Latest news for one ticker (optionally incl. insider)alphai_trending- Top articles of the last 48h by relevance, reprints collapsedalphai_stories- Stories: events two or more publishers reported, summarised from their articles;list=topranks the last 48h,list=latestpages newest-firstalphai_story- One story bystory_id(the key every news item carries): summary, key facts with sources, per-ticker read, open questions, plus the articles behind italphai_actionable_now- Breaking, decision-grade news (actionability + novelty gate)alphai_insider_news- SEC Form 4 insider-trade newsalphai_insider_clusters- Issuers where several insiders bought on the open market in one run of purchases (Form 4, labeled per buyer)alphai_pair_analysis- Two-ticker read-across (news naming both companies)alphai_article- Fetch a single article byuid(adds a structuredearningsread on SEC filings)alphai_earnings- AlphAI's filing-verified earnings reads per ticker, plus the next report datealphai_calendar- Scheduled macro releases (CPI, FOMC, jobless claims) with times and the coverage that followedalphai_macro- Macro-economy feed (prints, central banks, rates, FX, commodities)alphai_tickers- Discover supported tickers (US stocks, ETFs, crypto & foreign listings, incl. each one'snext_report_date)alphai_watchlist_brief- Recent news and filing events for your saved watchlist, on every planalphai_radar- News activity and tone across the market or your saved watchlist, with linked evidence, 4h/24h windows and snapshot-pinned paginationsearch/fetch- Citation-ready article discovery and retrieval for compatible research clientsalphai_alerts_list/alphai_alerts_subscribe/alphai_alerts_unsubscribe- Manage your own ticker alert subscriptions (Basic/Pro)
All tools are read-only except the alphai_alerts_* writes, which only ever touch the
caller's own subscriptions. Full schemas, params and defaults are advertised by the server
(annotations included) and documented at alphai.io/mcp.
Tiers
Radar refreshes each minute. Delays apply to the complete snapshot, including supporting headlines; collection and enrichment add processing time. Its descriptive scores are not predictions or confirmed alerts. Radar accepts up to 100 rows per call on every plan, with no separate ticker allowance; saved watchlists retain their existing limits (Free 10 companies, paid unlimited).
Authentication
OAuth 2.1 with Dynamic Client Registration (RFC 7591)
and PKCE per the
MCP authorization spec.
Compatible clients discover the OAuth metadata automatically — no manual API key setup.
Both tool discovery (tools/list) and calls require authentication. Headless
clients can use the same API key as the REST API in an Authorization: Bearer ak_live_… header; never put a key in the URL. OAuth and API keys have tool parity.
Ready-made Claude Code skills
Drop-in skills that drive these tools (stock brief, market pulse, insider radar, peer read-across, manage alerts): makeev/alphai-claude-skills.
Links
- Playground & docs — https://alphai.io/mcp
- REST API & SDKs (Python + TypeScript) — https://alphai.io/developers
- Smithery listing — https://smithery.ai/servers/mihail-makeev/alphai-news
- Glama connector — https://glama.ai/mcp/connectors/io.github.makeev/alphai-mcp
- MCP Registry —
io.github.makeev/alphai-mcp - Changelog — https://alphai.io/changelog
Notes
- This is a hosted server — to use it, connect to
https://mcp.alphai.io/mcp; there is nothing to self-host. This repo is the catalog home +server.jsonmanifest. - News, not advice. The tools summarize reporting; they don't give buy/sell calls.
raw_text(full article bodies) is never served — copyright. Responses carry titles, AI summaries, per-ticker analysis, categories and relevance scores.
MIT licensed. Built by AlphAI.
來源:README.md,提交 227612d
工具
0版本歷史
1- v0.2.0最新Sep 16, 2026
評分
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