Catalog › io.github.aws/mcp-proxy-for-aws
Not measured yet AWS 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.
AWS MCP Server lets AI securely access AWS using docs, API calls, and SOP workflows.
Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.0.0-preview.0 · publisher website{
"mcpServers": {
"mcp-proxy-for-aws": {
"command": "uvx",
"args": [
"mcp-proxy-for-aws"
]
}
}
}Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.aws/mcp-proxy-for-aws"} 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.A managed MCP server enabling AI agents to access AWS using docs, API calls, and SOP workflows.
Package pypi :mcp-proxy-for-aws · website · measurements and detailsFind tools similar to AWS MCP Server →
Show your measured reliability on your README or website:
[](https://faceabot.com/tools/io.github.aws/mcp-proxy-for-aws)Data in JSON: /api/catalog?id=io.github.aws/mcp-proxy-for-aws · Stop probes:
POST /api/reliability/opt-outAI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt
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