paigy-ai/mcp
by Various
[](https://glama.ai/mcp/servers/paigy-ai/mcp) ๐ โ๏ธ - Call, text, or push the user's phone when an agent needs input mid-task โ reply by voice instead of babysitting a long-running
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
How to use
Install
npx -y -p @paigy/mcp@latest paigy-mcp-onboard Tested with
Claude Code, Cursor, Cline, Continue
Example client config
{\n "mcpServers": {\n "paigy": {\n "command": "npx",\n "args": ["-y", "@paigy/mcp@latest"],\n "env": { "PAIGY_AGENT": "local" }\n }\n }\n} 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
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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