A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
3 ★ · makeev/alphai-mcp · read from the repository page · (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history
first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score
score 703 · 3 ★ · 7 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository makeev/alphai-mcp;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
**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.json manifest 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 to https://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 | Client | Config | |---|---| | **Claude Desktop / claude.ai** | Settings → Connectors → Add custom connector → https://mcp.alphai.io/mcp | | **Cursor** | ~/.cursor/mcp.json → { "mcpServers": { "alphai": { "type": "http", "url": "https://mcp.alphai.io/mcp" } } } | | **VS Code Copilot** | .vscode/mcp.json → { "servers": { "alphai": { "type": "http", "url": "https://mcp.alphai.io/mcp" } } } | | **Generic** | Streamable HTTP, URL https://mcp.alphai.io/mcp, OAuth 2.1 | 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 collapsed - alphai_stories - Stories: events two or more publishers reported, summarised from their articles; list=top ranks the last 48h, list=latest pages newest-first - alphai_story - One story by story_id (the key every news item carries): summary, key facts with sources, per-ticker read, open questions, plus the articles behind it - alphai_actionable_now - Breaking, decision-grade news (actionability + novelty gate) - alphai_insider_news - SEC Form 4 insider-trade news - alphai_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 by uid (adds a structured earnings read on SEC filings) - alphai_earnings - AlphAI's filing-verified earnings reads per ticker, plus the next report date - alphai_calendar - Scheduled macro releases (CPI, FOMC, jobless claims) with times and the coverage that followed - alphai_macro - Macro-economy feed (prints, central banks, rates, FX, commodities) - alphai_tickers - Discover supported tickers (US stocks, ETFs, crypto & foreign listings, incl. each one's next_report_date)