Catalog › io.github.CAST-Extend/imaging-mcp-server
Not measured yet CAST Imaging MCP Server 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.
MCP server exposing CAST Imaging software architecture insights to AI agents
Source: official MCP registry (registry.modelcontextprotocol.io) · version 3.0.4 · publisher website{
"mcpServers": {
"imaging-mcp-server": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"docker.io/castimaging/imaging-mcp-server:3.0.4"
]
}
}
}Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.CAST-Extend/imaging-mcp-server"} 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.CAST Dashboard MCP server for compliance, quality, and technical debt insights for AI agents
Package oci :docker.io/castbuild/gatekeeper-mcp-server:3.0.0-beta5-46 · measurements and detailsFind tools similar to CAST Imaging MCP Server →
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[](https://faceabot.com/tools/io.github.CAST-Extend/imaging-mcp-server)Data in JSON: /api/catalog?id=io.github.CAST-Extend/imaging-mcp-server · Stop probes:
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