5930 Model Context Protocol servers — searchable, rated, ready to install.
Local stdio MCP server for cached, loop-aware JS/TS diagnostics (Oxlint, tsc, Biome, ESLint).
Automate 1,000+ services from any MCP-compatible AI agent: build Applets, run actions and queries.
CircleCI's MCP server: inspect projects, runs, workflows, jobs, logs, tests, and artifacts.
UK area & property intelligence for AI agents: reports, EPC, comparables, with source provenance.
Run Offensive360 SAST scans (60+ languages) on local code; findings with file/line and fixes
Warm introductions to the right builder, matched privately on your work. Double opt-in, no feed.
Zi Wei Dou Shu for AI agents: free natal charts, six transit levels, and optional readings.
MCP server for the GitHub CLI (gh). Read-only by default; single Go binary.
Turn a screen recording into agent-readable annotated keyframes. MCP server + CLI on ffmpeg.
Enables AI assistants to natively interact with the Serpzilla link-building marketplace.
Detect API breaking changes, scan your codebase for impact, and draft the fix. Runs locally.
MCP server and TypeScript SDK for OOREP homeopathic repertory and materia medica reference data.
Create and run 24/7 linear TV channels. Import videos by URL; we transcode, schedule and stream.
AgentKit management-plane CLI + MCP server (agkit).
SOLID/OOP/DRY, the 23 GoF patterns, pattern scaffolding, and heuristic code-smell detection.
California DMV MCP — registered vehicles and EV adoption by ZIP code, field offices, the official…
Desktop strategy development and testing with a built-in local stdio MCP server.
Deterministic Hacker News developer sentiment, themes & feature requests via MCP. No API key.
Real-time B2A and M2M deprecation feeds for AI agents and dev pipelines.
Static code map generator: MAP.md + map.json for any repo, plus a Claude Code /map plugin
Structured Windows state for AI agents: processes, windows, UI trees. No screenshots.
Static linter for CLAUDE.md-style agent constitution files: 10 operational-guardrail checks.
Local structured analysis of deployed EVM runtime bytecode
Courses that argue back: learn adaptively, build real work, then defend it to an AI stakeholder.
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