MCP server for processing SRE alerts, reducing noise through deduplication and correlation analysis, and executing automated runbook actions to improve MTTR
This server has critical definition failures. The single tool 'execute_skill_action' has no visible input schema, no parameter descriptions, and a generic description (58 chars). The mcp_server.py file shows only a JSON status message with no actual MCP protocol implementation, no tool registration, no schema definitions, no request/response handling. The client.py and example_usage.py are standalone Python code unrelated to MCP. This is not a functional MCP server; it's a stub that prints JSON and exits.
Execute SRE alert noise reduction and runbook action processing
Tool description is generic (58 chars) and lacks WHAT, WHEN, and prerequisites. Does not meet 10 - 1024 char guideline or LLM-optimization standard.
No parameter descriptions visible. LLMs cannot infer what inputs the tool accepts or what they control.
mcp_server.py does not implement MCP protocol. It prints a static JSON message and exits. No request/response loop, no tool invocation handling, no schema registration.
No output schema documented. Agents cannot plan downstream calls or extract required fields from results.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 18 | 2026-07-28+ | v2 |