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makeev/alphai-mcp

by Various

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

M

MCP

makeev/alphai-mcp

Added 18 June 2026

#ai-agents #finance #financial-news #mcp #mcp-server #model-context-protocol #sec-filings #stock-market

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

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