Which integrations are available for this server?

Tools to check service registration/health status and read service configuration from Consul KV store. Tools to fetch or search distributed traces, formatted as a span tree. Tools to query a metric's summary (mean/peak/threshold) from Prometheus.

How do I use ops-agent-toolkit-mcp?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@ops-agent-toolkit-mcp search logs for payment-service for errors in the last hour" 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.

ops-agent-toolkit-mcp

by Jeromefromcn

Overview Schema Related Servers Score Discussions

Python

Hybrid

ops-agent-toolkit-mcp

MCP server exposing read-only ops tools to an agent troubleshooting the lab-environment sandbox.

Tools

Tool	Backend	Purpose
`search_logs(service, keyword, minutes_ago)`	Loki	Search service logs by keyword and time window
`query_metric(service, metric_name, minutes_ago)`	Prometheus	Get a metric's summary (mean/peak/threshold), not raw series
`get_trace(trace_id)` / `search_traces(service, error_only)`	Jaeger	Fetch or search distributed traces, formatted as a span tree
`get_service_health(service)`	Consul	Check service registration/health status
`get_service_config(service)`	Consul KV	Read a service's current config
`toggle_chaos_scenario(service, scenario, enabled)`	Consul KV	Enable/disable a fault scenario

See ROADMAP.md for planned additions (Kafka tools, multi-agent permission scoping, K8s tools).

Related MCP server: mcp-grafana

Run locally (stdio mode)

pip install -r requirements.txt
python server.py

Run as a container (HTTP/SSE mode)

docker build -t ops-lab/mcp-toolkit:dev .

Intended to run inside the lab-environment docker-compose network, so it can reach Loki/Prometheus/Jaeger/Consul by service name.

Design principles

Read-only by default. The one exception is toggle_chaos_scenario, scoped to chaos toggle keys only. No tool restarts services, rolls back deployments, or writes real app config. Further write-capable tools require explicit discussion.
Parameterized, not raw passthrough. Never expose PromQL/LogQL directly to the model.
Every call is audited — tool name, args, duration, and a result preview are logged.
One tool, one job. Keep tool boundaries narrow so the agent composes them itself.

Roadmap

See ROADMAP.md.

This server cannot be installed

license - permissive license

quality - not tested

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

–Releases (12mo)

Commit activity

Resources

GitHub Repository

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