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mambalabsdev/mcp-funding-press-signal-scanner

by Various

[](https://glama.ai/mcp/servers/mambalabsdev/mcp-funding-press-signal-scanner) 📇 ☁️ - Scans Google News and PR wires for a company's funding rounds, exec moves, product launches,

M

MCP

mambalabsdev/mcp-funding-press-signal-scanner

Added 13 July 2026

Overview

An open-source Model Context Protocol (MCP) server written in JavaScript that monitors Google News and press release wires for signals about a company's funding rounds, executive moves, and product launches. It provides structured data for integration into AI agents or developer workflows.

Best for

Best for
Developers and data analysts who need automated, structured corporate signal monitoring within MCP-compatible environments

Use cases

  • Automating alerts for a portfolio company's funding announcements
  • Aggregating executive changes and product news into a dashboard
  • Enriching AI assistant context with real-time corporate signals

Notes

An open-source Model Context Protocol (MCP) server written in JavaScript that monitors Google News and press release wires for signals about a company’s funding rounds, executive moves, and product launches. It provides structured data for integration into AI agents or developer workflows.

0 stars on GitHub. Last updated 2026-07-12. Licensed MIT.

Use cases

  • Automating alerts for a portfolio company’s funding announcements
  • Aggregating executive changes and product news into a dashboard
  • Enriching AI assistant context with real-time corporate signals

Pros

  • Free and open-source with no vendor lock-in
  • Uses the standardized MCP protocol for easy integration with AI frameworks
  • Aggregates from multiple public sources (Google News + PR wires)

Cons

  • Zero stars on GitHub indicates limited community validation or early development stage
  • Relies only on Google News and PR wires, missing specialized financial sources
  • Requires self-hosting and configuration of MCP infrastructure

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Free and open-source with no vendor lock-in
  • Uses the standardized MCP protocol for easy integration with AI frameworks
  • Aggregates from multiple public sources (Google News + PR wires)

Cons

  • Zero stars on GitHub indicates limited community validation or early development stage
  • Relies only on Google News and PR wires, missing specialized financial sources
  • Requires self-hosting and configuration of MCP infrastructure
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