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paigy-ai/mcp

by Various

[](https://glama.ai/mcp/servers/paigy-ai/mcp) πŸ“‡ ☁️ - Call, text, or push the user's phone when an agent needs input mid-task β€” reply by voice instead of babysitting a long-running

P

MCP

paigy-ai/mcp

Added 13 July 2026

Overview

This MCP server allows agents to notify a user via phone call, text message, or push notification when they require human input during a long-running task. The user can respond by voice instead of actively monitoring the process.

Best for

Best for
Developers building human-in-the-loop agent systems that need remote intervention capabilities via phone

Use cases

  • Offloading long-running agent tasks without constant monitoring
  • Providing voice-based input to agents when they encounter a decision point
  • Integrating phone notifications into automated workflows for human-in-the-loop feedback

Notes

This MCP server allows agents to notify a user via phone call, text message, or push notification when they require human input during a long-running task. The user can respond by voice instead of actively monitoring the process.

0 stars on GitHub. Last updated 2026-07-13. Licensed MIT.

Use cases

  • Offloading long-running agent tasks without constant monitoring
  • Providing voice-based input to agents when they encounter a decision point
  • Integrating phone notifications into automated workflows for human-in-the-loop feedback

Pros

  • Enables hands-free interaction with agents via voice replies
  • Reduces the need to babysit long-running tasks
  • Lightweight implementation in Shell

Cons

  • Voice recognition accuracy may vary depending on environment and language
  • Requires access to phone or push notification infrastructure, potentially incurring costs
  • Still early stage with no community adoption or reliability metrics

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

Pros

  • Enables hands-free interaction with agents via voice replies
  • Reduces the need to babysit long-running tasks
  • Lightweight implementation in Shell

Cons

  • Voice recognition accuracy may vary depending on environment and language
  • Requires access to phone or push notification infrastructure, potentially incurring costs
  • Still early stage with no community adoption or reliability metrics
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