Catalog › io.github.Digital-Defiance/mcp-debugger
Not measured yet mcp-debugger runs locally (installed package), so Faceabot cannot measure it over the network.
En français : Pas encore mesuré. Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.
Node.js and TypeScript debugging with 25+ tools for AI agents
Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.1.8 · publisher website{
"mcpServers": {
"mcp-debugger": {
"command": "npx",
"args": [
"-y",
"@ai-capabilities-suite/mcp-debugger-server"
]
}
}
}Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.Digital-Defiance/mcp-debugger"} on https://faceabot.com/api/mcp. — Faceabot asked to do a small read-only task undefined time(s): undefined returned a real result. Last result: .
{}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.No measurement yet.
initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.Advanced filesystem operations with strict security boundaries for AI agents
Package npm :@ai-capabilities-suite/mcp-filesystem · website · measurements and detailsProcess management and monitoring for AI agents with strict security boundaries
Package npm :@ai-capabilities-suite/mcp-process · website · measurements and detailsScreenshot capture with PII masking and cross-platform support for AI agents
Package npm :@ai-capabilities-suite/mcp-screenshot · website · measurements and detailsFind tools similar to mcp-debugger →
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