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P12 SRE Ops MCP Server

by amarshiv86
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Python
Hybrid

P12 · SRE Ops MCP Server

Custom MCP (Model Context Protocol) server exposing SRE tools as LLM-callable actions. Capstone project of the Staff SRE · AI Engineer Portfolio.

Where things live

What

Where

MCP server code

This repo (src/)

Interactive demo

HF Space

Tool examples + audit log

HF Dataset

Related MCP server: Datadog MCP Server

Tools exposed

Tool

Description

get_slo_status

SLO burn rate + error budget per service

get_runbook

Fetch runbook steps for an alert

query_alerts

Recent firing alerts by severity

create_incident

Create incident record

get_incident_timeline

Timeline of events for an incident

summarize_incident

LLM-generated incident summary

Use with Claude Desktop

{
  "mcpServers": {
    "sre-ops": {
      "command": "python",
      "args": ["-m", "src.mcp_server"],
      "cwd": "/path/to/p12-sre-mcp"
    }
  }
}

Then ask Claude: "What's burning right now?" — it calls query_alerts + get_slo_status automatically and synthesizes a response.

SRE additions

  • Every tool call audit logged (timestamp, latency, success — postmortem-ready)

  • Tool latency tracked — SLO: p95 < 500ms

  • Graceful fallback when tools fail

  • JSON-RPC 2.0 protocol compliance

  • Both stdio (Claude Desktop) and HTTP (HF Space demo) transports

Run locally

git clone https://github.com/amarshiv86/p12-sre-mcp
cd p12-sre-mcp
pip install -r requirements.txt

# Run tests
pytest tests/ -v

# Start MCP server (stdio transport)
python -m src.mcp_server

# Test with manual JSON-RPC call
echo '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}' | python -m src.mcp_server

Project structure

p12-sre-mcp/
├── src/
│   ├── tools.py        # 6 SRE tools + audit logging + timed_tool decorator
│   └── mcp_server.py   # JSON-RPC 2.0 stdio transport
├── tests/
│   └── test_mcp.py     # 20 tests (tools + MCP protocol)
├── hf_space/
│   ├── app.py          # Gradio demo — scenario runner + manual tool call
│   ├── README.md       # sdk_version: 5.29.0
│   └── requirements.txt
├── data/
│   ├── raw/tool_call_examples.jsonl
│   └── processed/sample_audit_log.json
├── .github/workflows/
│   ├── ci.yml
│   ├── deploy-hf-space.yml
│   └── deploy-hf-dataset.yml
└── requirements.txt

Stack

MCP Protocol · JSON-RPC 2.0 · Qwen2.5-0.5B · Gradio 5 · Audit logging · GitHub Actions

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityInactive
ResponsivenessNo issues

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