"Radar" matching MCP servers:

Radar is an open-source Kubernetes observability and diagnostics MCP server. It exposes cluster health, workload diagnosis, logs, events, topology, audit findings, and remediation actions to AI agents through the Model Context Protocol.

Provides MCP tools to search and retrieve open-source bounties, jobs, and challenges from a live feed.

Enables AI agents to evaluate real OSS contribution opportunities by scoring issues on availability, competing PRs, staleness, and maintainer sentiment, including live feasibility checks for any repository.

Enables users to search and audit MCP servers by quality metrics such as installs, security, and activity, helping them find trustworthy servers and avoid ones with no installs.

Enables AI assistants to check domain availability in real-time during brand naming conversations, using DNS and WHOIS queries to suggest available domains for brainstormed names.

Enables real-time .si domain availability checks through ARNES registry sockets, batch scanning with pacing, fast checkout deep-links, GEMINI Rule 10 evaluation, and optional Dynadot API purchases.

Discover, rank, and compare GitHub repositories from any MCP-compatible AI client. Enables searching, filtering, ranking, and evaluating open-source repositories by topic, language, stars, license, activity, and relevance.

Enables PM radar analysis of Jira projects, providing daily, sprint, and backlog reports with issue context and search.

Enables AI assistants to query GitHub trending projects, analyze language and technology trends, and generate visual trend reports.

Enables generation of various chart types (bar, line, pie, scatter, radar, heatmap, and more) using ECharts library, returning preview URLs to visualize data through natural language requests.

Enables natural language interaction with Cloudflare services including Workers, observability, documentation, and Radar for managing configurations, analytics, and internet insights.

Provides 15 types of chart generation tools (line, bar, pie, radar, word cloud, mind map, etc.) with AI-powered intelligent color schemes and elegant design.

An MCP server for network engineering that provides comprehensive tools for BGP analysis, RPKI validation, and DNSSEC-aware DNS queries. It integrates public data sources like RIPE and Cloudflare Radar with local diagnostic tools to give LLMs structured access to real-time and historical network states.

Score your specs before an LLM builds from them. Scores on 4 axes (completeness, clarity, constraints, specificity), calculates a balance score, and returns a verdict with radar chart visualization.

Enables generation of various chart types (bar, line, pie, radar, etc.) using QuickChart.io and Chart.js configurations, with options to generate chart URLs or download images locally.

Enables generation of various chart types (bar, line, pie, radar, etc.) using QuickChart.io service. Supports creating chart URLs and downloading chart images locally with customizable Chart.js configurations.

Exposes spectral analysis and radar DSP primitives (FFTs, STFT spectrograms, 2D Range-Doppler processing, CA-CFAR detection, MVDR beamforming, Kalman tracking) as callable MCP tools for AI agents, running hardware-free on signal files.