MCP Servers

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Real-time, AI-enriched financial news for AI agents — the hosted AlphaAI MCP server (mcp.alphai.io)

创建于 6/14/2026
更新于 about 6 hours ago
Repository documentation and setup instructions

AlphaAI MCP server

Real-time, AI-enriched financial news for AI agents and trading bots — over the Model Context Protocol. Hosted at mcp.alphai.io, no install, OAuth (no API key to paste), free tier 100 calls/hour.

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 of the hosted AlphaAI MCP server (the listing you'll find on Smithery, Glama, and the MCP Registry). The product is AlphaAI — a financial-news platform built for AI agents.

Connect

The server speaks Streamable HTTP at https://mcp.alphai.io/mcp. Add it to any OAuth-capable MCP client. Claude Code:

claude mcp add --transport http alphai https://mcp.alphai.io/mcp

The first tool call opens a browser for OAuth 2.1 — 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.

Other clients

| Client | Config | |---|---| | Claude Desktop / claude.ai | Settings → Connectors → Add custom connector → https://mcp.alphai.io/mcp | | Cursor | ~/.cursor/mcp.json{ "mcpServers": { "alphai": { "url": "https://mcp.alphai.io/mcp" } } } | | Generic | Streamable HTTP, URL https://mcp.alphai.io/mcp, OAuth 2.1 |

Tools (11)

| Tool | What it does | |---|---| | 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 | Biggest stories of the last 48h by relevance | | alphai_actionable_now | Breaking, decision-grade news (actionability + novelty gate) | | alphai_insider_news | SEC Form 4 insider trades + 13F ownership moves as news | | alphai_pair_analysis | Two-ticker read-across (news naming both companies) | | alphai_article | Fetch a single article by uid | | alphai_tickers | Discover supported stock / ETF tickers | | alphai_alerts_list / _subscribe / _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

| | Free | Basic | Pro | |---|---|---|---| | Price | $0 (no card) | $2.99/mo | $9.99/mo | | Rate limit | 100 / hour | 1,000 / hour | 10,000 / hour | | Alert tools | — | ✓ | ✓ | | Page size | 10 | 10 | up to 50 (bulk) |

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
  • 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. The product source lives in the AlphaAI backend; this repo is the catalog home + server.json manifest.
  • glama_server.py + Dockerfile are an introspection build: a tiny stdio server that declares the same 11 tools (identical names, schemas, descriptions, annotations) so MCP directories can read the tool catalog without OAuth. Its handlers don't run the queries — they point back at the hosted endpoint, where the real data and auth live.
  • 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 AlphaAI.

快速设置
此服务器的安装指南

安装包 (如果需要)

uvx alphai-mcp

Cursor 配置 (mcp.json)

{ "mcpServers": { "makeev-alphai-mcp": { "command": "uvx", "args": [ "alphai-mcp" ] } } }