iiRecord
Agentic AI Atlas · Ora feedback MCP
tool-server:ora-feedback-mcpa5c.ai
II.
ToolServer JSON

tool-server:ora-feedback-mcp

Structured · live

Ora feedback MCP json

Inspect the normalized record payload exactly as the atlas UI reads it.

File · extensions/tool-servers/ora-feedback-mcp.yamlCluster · extensions
Record JSON
{
  "id": "tool-server:ora-feedback-mcp",
  "_kind": "ToolServer",
  "_file": "extensions/tool-servers/ora-feedback-mcp.yaml",
  "_cluster": "extensions",
  "attributes": {
    "displayName": "Ora feedback MCP",
    "description": "Ora MCP surface for agent-only feedback submission and feedback retrieval around product agent-readiness checks.\nComplements the read-only OpenAPI endpoints with write operations gated for agent verification.\n",
    "protocol": "mcp-streamable-http",
    "provenance": "built-in",
    "category": "ai",
    "maintainer": "Ora",
    "repoUrl": "https://ora.run",
    "sourceRef": "source-ref:ora-mcp",
    "mcpTransports": [
      "mcp-transport:streamable-http"
    ],
    "tools": [
      "tool-descriptor:ora.submit-feedback",
      "tool-descriptor:ora.get-feedback"
    ]
  },
  "outgoingEdges": [
    {
      "from": "tool-server:ora-feedback-mcp",
      "to": "tool:ora-agent-readiness",
      "kind": "integrates_with",
      "attributes": {}
    },
    {
      "from": "tool-server:ora-feedback-mcp",
      "to": "tool-descriptor:ora.submit-feedback",
      "kind": "contains_tool_descriptor",
      "attributes": {}
    },
    {
      "from": "tool-server:ora-feedback-mcp",
      "to": "tool-descriptor:ora.get-feedback",
      "kind": "contains_tool_descriptor",
      "attributes": {}
    },
    {
      "from": "tool-server:ora-feedback-mcp",
      "to": "source-ref:ora-mcp",
      "kind": "sourced_from",
      "attributes": {}
    },
    {
      "from": "tool-server:ora-feedback-mcp",
      "to": "responsibility:ai-tooling-evaluation",
      "kind": "supports_work",
      "attributes": {
        "confidence": "high",
        "evidence": "Agent feedback records capture outcomes, friction points, recommendations, and layer scores."
      }
    },
    {
      "from": "tool-server:ora-feedback-mcp",
      "to": "workflow:ai-usage-review",
      "kind": "supports_work",
      "attributes": {
        "confidence": "medium",
        "evidence": "Feedback retrieval supports review loops for how agents experience product integrations."
      }
    }
  ],
  "incomingEdges": []
}