alphai-mcp
A Model Context Protocol (MCP) server for financial news and SEC Form 4 insider trading data. Every story carries a 1-10 relevance score, per-ticker impact and one of 14 categories, so trading bots and AI agents filter before they read. Hosted at mcp.alphai.io, OAuth, free tier.
Install / Use
claude mcp add makeev -- npx -y github:makeev/alphai-mcpIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
AI & Machine LearningSupported Platforms
Our assessment of alphai-mcp
alphai-mcp scores 79/100 on our quality scale, 786th of 963 AI & Machine Learning skills we index.
Its MCP Server is 7.8 KB long, well organised into 9 sections with 2 code examples: a thorough specification that gives an agent plenty to work with.
It has 3 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated 3 days ago, so alphai-mcp is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 92/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
alphai-mcp compared with similar skills
All 4 of these similar skills score higher than alphai-mcp; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| alphai-mcp (this skill)by makeev | 79 | 3 | 3d ago | MCP Server |
| claude-memby thedotmack | 100 | 100.1k | today | CLAUDE.md |
| Agent-Reachby Panniantong | 100 | 96.5k | 4d ago | CLAUDE.md |
| Understand-Anythingby Egonex-AI | 100 | 86.1k | today | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 75.1k | today | CLAUDE.md |
Frequently asked questions
- How do I install alphai-mcp?
- Run
claude mcp add makeev -- npx -y github:makeev/alphai-mcp. The install tabs above show the steps for each supported agent. - Which AI agents does alphai-mcp work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is alphai-mcp safe to use?
- It is MIT-licensed and scores 92/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is alphai-mcp still maintained?
- The repository was last updated 3 days ago, so alphai-mcp is actively maintained.
Skill content
View source on GitHubAlphAI MCP server
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:
claude mcp add --transport http alphai https://mcp.alphai.io/mcp
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):
{
"mcpServers": {
"alphai": {
"type": "http",
"url": "https://mcp.alphai.io/mcp"
}
}
}
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 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
| | Free | Basic | Pro | |---|---|---|---| | Price | $0 (no card) | $2.99/mo | $9.99/mo | | Rate limit — burst | 20 / min | 60 / min | 150 / min | | Rate limit — daily | 100 / day | 10,000 / day | 100,000 / day | | Alert tools | — | ✓ | ✓ | | News page size | up to 20 | up to 20 | up to 50 (bulk) | | News archive | 30 days | 90 days | 180 days | | Radar market + saved watchlist | ✓ | ✓ | ✓ | | Radar added delay | 60 min | 15 min | None |
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.
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
