ozers/hooksense-mcp

Overview

An MCP server that provides a webhook and callback layer for AI agents. It allows agents to receive and send callbacks via standardized hooks.

Best for

Best for
Developers building prototypes or small-scale AI agent systems requiring webhook and callback handling

Use cases

• Routing asynchronous responses from AI agents to external services
• Triggering callback workflows when AI agent actions complete
• Integrating webhook-based event handling into agent pipelines

How to use

Tools exposed

• create_callback_endpoint
• wait_for_callback
• list_callbacks
• get_callback_payload
• verify_signature
• replay_callback
• list_endpoints
• get_endpoint

Tested with

Claude Desktop, Claude Code, Cursor, Continue

Example client config

{\n  "mcpServers": {\n    "hooksense": {\n      "command": "npx",\n      "args": ["-y", "@hooksense/mcp"],\n      "env": {\n        "HOOKSENSE_TOKEN": "hsk_your_token_here"\n      }\n    }\n  }\n}

Notes

An MCP server that provides a webhook and callback layer for AI agents. It allows agents to receive and send callbacks via standardized hooks.

1 stars on GitHub. Last updated 2026-06-24. Licensed MIT.

Use cases

• Routing asynchronous responses from AI agents to external services
• Triggering callback workflows when AI agent actions complete
• Integrating webhook-based event handling into agent pipelines

Pros

• Lightweight JavaScript implementation for fast setup
• Open source with a permissive license on GitHub
• Directly addresses a common need for agent callback management

Cons

• Very early stage with only 1 GitHub star
• Limited community support and documentation
• May lack robustness for production-scale use

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