II.
ToolServer JSON
Structured · livetool-server:mcp-nebius-candidate
Nebius MCP candidate json
Inspect the normalized record payload exactly as the atlas UI reads it.
{
"id": "tool-server:mcp-nebius-candidate",
"_kind": "ToolServer",
"_file": "extensions/tool-servers/ora-discovered-mcp-candidates.yaml",
"_cluster": "extensions",
"attributes": {
"displayName": "Nebius MCP candidate",
"description": "Candidate MCP server for Nebius AI infrastructure and GPU compute resources, captured from Ora infrastructure\ndiscovery as a missing cloud/ML ToolServer association.\n",
"protocol": "mcp-stdio",
"provenance": "custom",
"category": "cloud",
"maintainer": "Candidate",
"sourceRef": "source-ref:ora-discover-api",
"candidateStatus": "needs-source-verification",
"ora": {
"domain": "nebius.com",
"score": 62,
"grade": "C"
}
},
"outgoingEdges": [
{
"from": "tool-server:mcp-nebius-candidate",
"to": "tool:nebius",
"kind": "integrates_with",
"attributes": {}
},
{
"from": "tool-server:mcp-nebius-candidate",
"to": "source-ref:ora-discover-api",
"kind": "sourced_from",
"attributes": {}
},
{
"from": "tool-server:mcp-nebius-candidate",
"to": "role:platform-engineer",
"kind": "supports_work",
"attributes": {
"confidence": "medium",
"evidence": "AI infrastructure controls support platform operations and capacity management."
}
},
{
"from": "tool-server:mcp-nebius-candidate",
"to": "role:ml-engineer",
"kind": "supports_work",
"attributes": {
"confidence": "medium",
"evidence": "GPU compute resources are relevant to model-development and inference workflows."
}
}
],
"incomingEdges": []
}