Do these servers compete or complement each other?

They can complement. SigNoz is a complete OTel-native backend, while Grafana is a visualization layer over many sources. If you run SigNoz as your store, its server is the most direct path to that data; if Grafana fronts a Prometheus/Loki stack, its server queries through that layer. You could even point Grafana at a data source and use SigNoz separately, but most teams pick the one that matches where their telemetry actually lives.

Which can create alerts and dashboards?

The SigNoz server offers full create/update/delete for both dashboards and alert rules. The Grafana server can search, read, update, and patch dashboards and reach alerting and OnCall, with the emphasis on querying and curating through Grafana rather than full alert-rule CRUD.

SigNoz vs Grafana

SigNoz MCP and Grafana MCP both let an agent work against an open-source observability stack, but they sit at different layers. SigNoz is an OpenTelemetry-native platform that unifies traces, logs, and metrics in one product, and its official server exposes that breadth directly: search and aggregate traces and logs, query metrics, and manage dashboards and alert rules (list, get, create, update, delete) — the agent operates SigNoz's own data and configuration. Grafana is the visualization and operations layer that sits on top of many data sources; Grafana Labs' official server lets an agent search and read dashboards, run PromQL against Prometheus and LogQL against Loki, pull Pyroscope profiles, render panels as images, and reach into incidents, alerting, and OnCall. The deciding question is whether you want a single OTel-native backend that stores and serves your telemetry (SigNoz), or a query-and-visualization front end that federates Prometheus, Loki, and more (Grafana). Here is a balanced look.

How they compare

Dimension	SigNoz	Grafana
Where the data lives	SigNoz is the backend itself — an OpenTelemetry-native store for traces, logs, and metrics that the server queries directly.	Grafana is a front end over external data sources; the server queries Prometheus, Loki, Pyroscope, and others through Grafana.
Telemetry querying	Native tools to search and aggregate traces and logs and query metrics, all against SigNoz's unified OTel data.	Datasource-specific queries: query_prometheus (PromQL), LogQL against Loki, Pyroscope profiles, plus dashboard panel queries.
Dashboards and alerts	Full CRUD on dashboards and alert rules — list, get, create, update, and delete — managing SigNoz configuration from the agent.	Search and read dashboards, update and patch them, run panel queries, and reach incidents, alerting rules, and OnCall.
Ecosystem fit	Best when you run SigNoz as your single OTel-native observability platform and want one server for data and config.	Best when Grafana already federates your Prometheus/Loki/Pyroscope stack and you want the agent to query and curate through it.
Transport	Offers both remote and stdio installation, so you can run it hosted or locally.	Runs as a stdio server (mcp-grafana) pointed at your Grafana instance.

Verdict

Choose by your stack's architecture. Reach for SigNoz MCP when SigNoz is your observability backend and you want one OTel-native server to search traces and logs, query metrics, and manage dashboards and alerts directly against the platform that stores your data. Reach for Grafana MCP when Grafana is your visualization and operations layer over Prometheus, Loki, Pyroscope, and friends, and you want the agent to run PromQL/LogQL, read and curate dashboards, render panels, and drive incidents and OnCall. In short: SigNoz for a single OTel-native backend you query and configure; Grafana for a federating front end over an existing multi-source stack.

FAQ

Do these servers compete or complement each other?: They can complement. SigNoz is a complete OTel-native backend, while Grafana is a visualization layer over many sources. If you run SigNoz as your store, its server is the most direct path to that data; if Grafana fronts a Prometheus/Loki stack, its server queries through that layer. You could even point Grafana at a data source and use SigNoz separately, but most teams pick the one that matches where their telemetry actually lives.
Which can create alerts and dashboards?: The SigNoz server offers full create/update/delete for both dashboards and alert rules. The Grafana server can search, read, update, and patch dashboards and reach alerting and OnCall, with the emphasis on querying and curating through Grafana rather than full alert-rule CRUD.