Generate a complete observability deployment bundle from an OpenSIPS scenario, including a Prometheus scrape configuration, Grafana dashboards, and a docker-compose stack, with auto-injected Prometheus module for immediate monitoring.
Apache 2.0
510,248 tools. Updated 2026-09-03 22:38
"Grafana Cloud dashboards and visualization tools" matching MCP tools:
- Generate Grafana dashboards for OpenSIPS monitoring by specifying a scenario and configuration parameters. The tool produces dashboard JSONs tailored to the loaded module set, enabling targeted observability.Apache 2.0
- Fetch Prometheus-format metrics for CDN or cloud storage sources to monitor performance and health in dashboards.MIT
- Generate Grafana provisioning YAMLs for Prometheus datasource and dashboard auto-loading. Drop into /etc/grafana/provisioning/ to auto-register datasource and load dashboards from a specified path on startup.Apache 2.0
- Retrieve the full configuration of a Cloud Analytics report by its ID, including data source, metrics, dimensions, time range, filters, and visualization settings.MIT
- Parse any OpenSIPS configuration text to automatically generate Grafana dashboards. Detects loaded modules and produces one dashboard JSON per panel category, simplifying monitoring setup.Apache 2.0
Matching MCP Servers
- AlicenseNot gradedqualityAmaintenanceA Model Context Protocol (MCP) server for Grafana. This provides access to your Grafana instance and the surrounding ecosystem.3,412Apache 2.0
- AlicenseAqualityBmaintenanceRenders 45+ interactive chart types, dashboards, and KPI widgets directly inside AI conversations. Supports drill-down, live API polling, 20 themes, and one-click export to PNG, PowerPoint, and A4 documents.4025044Functional Source , Version 1.1, MIT Future
Matching MCP Connectors
An MCP server giving access to Grafana dashboards, data and more.
The agent-native cloud: database, functions, AI, storage, computers. 50 tools, one API key.
- Check Grafana connectivity and authentication, identifying failing auth layer and visible datasources. Run this first when other tools fail.MIT
- Clone an existing Apache Superset chart under a new name, retaining its visualization type, dataset, and query context. Optionally bind the new chart to specific dashboards.MIT
- Start a Prometheus metrics exporter to expose /metrics endpoint for Grafana dashboards, tracking device reachability, command execution counts, and compliance scores.MIT
- Extract insights and trends from charts, graphs, and dashboards by analyzing data visualization images. Ideal for understanding patterns and metrics in visual data.Apache 2.0
- Create a Grafana annotation (event marker) to mark significant events on dashboards, with optional tags and dry-run preview.MIT
- Retrieve a list of Cloud Insight monitoring dashboards to view available options and select the appropriate one for your cloud resources.MIT
- Verify Grafana API connectivity and configuration to ensure proper integration with the MCP server.MIT
- Verify Grafana connectivity and check version with database status to ensure integration is operational.MIT
- List Grafana dashboards with optional search to filter by title, returning UID, title, folder, and tags for dashboard inspection.MIT
- List Cloud Insight monitoring dashboards to identify available monitoring views and select one for further analysis. This solves the need to find a dashboard quickly.MIT
- Retrieve Grafana dashboards by title query, optionally filtered by target, to find monitoring views.MIT
- Search Grafana dashboards using a query string to find relevant monitoring dashboards with details like title, UID, folder, tags, and URL.MIT
- Generate production observability blueprints for Node.js and Python microservices, including structured logging, OpenTelemetry tracing, and monitoring dashboards.MIT
- Retrieve available Grafana datasources to identify data connections for monitoring and visualization. Optionally filter by specific types like Prometheus or Loki to find relevant data sources.MIT