makeev/alphai-mcp
by Various
Real-time, AI-enriched financial news for AI agents — the hosted AlphaAI MCP server (mcp.alphai.io)
MCP
makeev/alphai-mcp
Added 18 June 2026
Overview
A hosted MCP server that delivers real-time financial news enriched for AI agents. Agents query the server via the Model Context Protocol to receive structured news data. The service is available at mcp.alphai.io.
Best for
Best for
Developers building AI agents that need live financial news with minimal integration effort
Use cases
- Feed financial news into a trading agent for real-time analysis
- Enrich a portfolio monitoring agent with breaking market headlines
- Provide context-aware news summaries to a financial research assistant
How to use
Tools exposed
alphai_news_searchalphai_ticker_newsalphai_trendingalphai_actionable_nowalphai_insider_newsalphai_pair_analysisalphai_articlealphai_earningsalphai_calendaralphai_macroalphai_tickersalphai_alerts_list
Tested with
Claude Desktop, Claude Code, Cursor, Windsurf, Cline, VS Code, ChatGPT
Notes
A hosted MCP server that delivers real-time financial news enriched for AI agents. Agents query the server via the Model Context Protocol to receive structured news data. The service is available at mcp.alphai.io.
1 stars on GitHub. Last updated 2026-06-18. Licensed MIT.
Use cases
- Feed financial news into a trading agent for real-time analysis
- Enrich a portfolio monitoring agent with breaking market headlines
- Provide context-aware news summaries to a financial research assistant
Pros
- Real-time delivery of financial news without polling multiple sources
- Structured enrichment reduces parsing overhead for agents
- Simple integration via standard MCP protocol
Cons
- Very low community adoption (1 star) suggests limited testing and support
- Dependence on a hosted service introduces latency and availability risks
- No offline or self-hosted option mentioned
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Real-time delivery of financial news without polling multiple sources
- Structured enrichment reduces parsing overhead for agents
- Simple integration via standard MCP protocol
Cons
- Very low community adoption (1 star) suggests limited testing and support
- Dependence on a hosted service introduces latency and availability risks
- No offline or self-hosted option mentioned
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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