Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Network Incident MCP Triage the incident on router-van-01 and reroute traffic if needed"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
A small demo/prototype showing an LLM agent (Google Gemini) using the Model Context Protocol (MCP) to triage a simulated network incident: fetch device telemetry, inspect syslogs, decide whether action is needed, and execute a remediation step — all through tools exposed by a local MCP server.
This is a prototype for learning/demo purposes. All network data is fake and hardcoded in mcp_server/mock_network_db.py. There is no real network backend.
mcp_server/ — an MCP server exposing:
get_device_telemetry(device_id) — device status, optical power, BGP flaps
get_latest_syslog() — recent syslog lines
apply_traffic_reroute(source_pop, target_pop, circuit_id) — a mock remediation action (rejects any target that isn't a known, healthy PoP)
incident_triage_prompt(device_id) — a prompt template describing the triage steps and the -20.0 dBm reroute threshold
agent/gemini_mcp_client.py — a client that spawns the MCP server, hands its tools to Gemini as function-calling tools, and runs a loop: Gemini decides which tool to call next, the client executes it via MCP and feeds the result back, until Gemini gives a final answer.
Related MCP server: Pulse
git clone <your-repo-url>
cd network-incident-mcp
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txtpython3 -m pytest tests/python3 mcp_server/server.pyRequires a Gemini API key from Google AI Studio:
export GEMINI_API_KEY=your-key-here
python3 agent/gemini_mcp_client.pyThe agent is pointed at the mock device router-van-01, which is simulated as DEGRADED with optical power at -28.5 dBm — below the -20.0 dBm reroute threshold. A real run looks like this:
(venv) ac@ubuntuserver2026:~/network-incident-mcp$ python3 agent/gemini_mcp_client.py
Processing request of type ListToolsRequest
[+] Connected to MCP. Registered 3 tools with Gemini 3.6 Flash.
Processing request of type GetPromptRequest
[--> Model Tool Call Request]: get_device_telemetry({'device_id': 'router-van-01'})
Processing request of type CallToolRequest
[<-- MCP Execution Output]: {
"device_id": "router-van-01",
"data": {
"status": "DEGRADED",
"location": "Vancouver PoP",
"bgp_flaps": 14,
"optical_power_dbm": -28.5,
"circuits": [
"fiber-van-richmond-10G"
]
}
}
[--> Model Tool Call Request]: get_latest_syslog({})
Processing request of type CallToolRequest
[<-- MCP Execution Output]:
[2026-08-24T10:12:01Z] WARN router-van-01 BGP neighbor 192.168.10.1 DOWN (Retries: 3)
[2026-08-24T10:12:15Z] CRIT router-van-01 Optical signal loss detected on fiber-van-richmond-10G (-28.5 dBm)
[2026-08-24T10:14:02Z] WARN router-van-01 Packet loss spike: 18.4% on interface ge-0/0/1
[--> Model Tool Call Request]: apply_traffic_reroute({'target_pop': 'Richmond PoP', 'circuit_id': 'fiber-van-richmond-10G', 'source_pop': 'Vancouver PoP'})
Processing request of type CallToolRequest
[<-- MCP Execution Output]: {
"status": "ERROR",
"error": "Target PoP 'Richmond PoP' is not a known healthy PoP. Healthy PoPs: ['Toronto PoP']"
}
[--> Model Tool Call Request]: apply_traffic_reroute({'circuit_id': 'fiber-van-richmond-10G', 'target_pop': 'Toronto PoP', 'source_pop': 'Vancouver PoP'})
Processing request of type CallToolRequest
[<-- MCP Execution Output]: {
"status": "SUCCESS",
"action": "Traffic shifted from Vancouver PoP to Toronto PoP",
"isolated_circuit": "fiber-van-richmond-10G",
"new_route_metric": 10
}
[Model Final Response]: ### Incident Analysis Summary for `router-van-01`
1. **Device Telemetry Analysis**
- **Device ID:** `router-van-01`
- **Location:** Vancouver PoP
- **Device Status:** DEGRADED
- **Optical Power Level:** **-28.5 dBm**
- **BGP Flaps:** 14
- **Active Circuit:** `fiber-van-richmond-10G`
2. **Syslog Inspection**
- Critical optical signal loss log detected:
`[2026-08-24T10:12:15Z] CRIT router-van-01 Optical signal loss detected on fiber-van-richmond-10G (-28.5 dBm)`
- Additional warnings observed regarding BGP neighbor timeouts and interface packet loss spikes (`ge-0/0/1`).
3. **Remediation Action**
- **Condition Met:** Optical power level (-28.5 dBm) is below the threshold of -20.0 dBm.
- **Action Taken:** Executed `apply_traffic_reroute`.
- **Circuit:** `fiber-van-richmond-10G`
- **Source PoP:** Vancouver PoP
- **Target PoP:** Toronto PoP
- **Status:** **SUCCESS** — Traffic successfully rerouted from Vancouver PoP to Toronto PoP, isolating circuit `fiber-van-richmond-10G`.Note the model's first reroute attempt targets Richmond PoP, which isn't a real, healthy location in the mock data — the server rejects it with an ERROR instead of silently succeeding, and the model retries with the correct healthy target (Toronto PoP) before succeeding.
web/app.py is a small FastAPI wrapper around the same mock telemetry/reroute
logic, exposed as plain REST endpoints — no MCP client and no Gemini API key
required. /triage/{device_id} reimplements the fetch → check → reroute flow
deterministically in Python (not via an LLM), so it's free and safe to expose
publicly.
Run it locally:
uvicorn web.app:app --host 127.0.0.1 --port 8001Then, from another terminal:
curl http://127.0.0.1:8001/devices
curl http://127.0.0.1:8001/telemetry/router-van-01
curl http://127.0.0.1:8001/syslog
curl http://127.0.0.1:8001/triage/router-van-01 # degraded device -> auto-reroutes
curl http://127.0.0.1:8001/triage/router-yyz-02 # healthy device -> no rerouteRequires mcp<2 (already pinned in requirements.txt) — the server uses the v1 FastMCP API.
Gemini model availability changes over time; if you hit a 404 model-not-found error, list the models available to your API key and update the model name in agent/gemini_mcp_client.py.
Tool-calling rounds are capped per run (GeminiMCPOrchestrator.MAX_TURNS, default 5) to avoid runaway API usage.
This server cannot be installed
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
MCP server for AI agents to plan, verify, and deploy Cloudflare-native apps.
Phone, SMS & email for AI agents — one remote MCP endpoint, OAuth login, zero install.
OCR, transcription, file extraction, and image generation for AI agents via MCP.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/asif-c/network-incident-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server