3645 Model Context Protocol servers — searchable, rated, ready to install.
Tamper-evident, Sigstore-signed audit trail for Claude Code agents.
Multi-agent shared brain across Claude, Codex, Antigravity, Gemini, Copilot, and VS Code.
MCP server for SearXNG aggregator — web search across multiple engines via Model Context Protocol
Biologically-inspired persistent memory engine for Claude Code MCP agents
17-model LLM gateway + 350+ data/KYB/sanctions tools. Pay-per-call USDC via x402, no API key.
Apple Foundation Models on-device. Generate, summarize, classify via Apple Intelligence.
Ultra-fast image generation, editing, upscaling, and video generation via Pruna AI.
Infinite Campus (Campus Parent) for Claude — grades, attendance, assignments, messages
MCP server for the xAI Grok API — chat, vision, search, and embeddings
Publish to Bluesky, Threads, LinkedIn, Facebook Pages, and Instagram from ChatGPT or Claude.
Score your judgment over AI-assisted work. Hone scores you, not the model.
Crash-proof LLM pipelines. Resumes from failure without a database.
Routes design tasks to designarena.ai's top-ranked model via OpenRouter across 14 categories.
Drive a Krystal Voice Caller tenant from Claude, Cursor, or any MCP-aware agent.
Claude Code creature collection game. Hatch buddies, pet to boost roll luck, complete the BuddyDex.
MCP server for ChipsAI — manage chatbots, conversations, and AI models
Garmin data in Claude & ChatGPT via the Garmin Health API. OAuth sign-in, no password sharing.
MCP server to publish to Substack, Ghost, Dev.to, WordPress, LinkedIn + 5 more from Claude Code.
Benchmark local LLM models — speed, quality & hardware fitness verdict from any MCP client
Check website AI-readiness: Schema.org, llms.txt, E-E-A-T, robots.txt. Works in Cursor & Claude.
Parse partial / truncated / messy JSON for LLM tool calls and structured outputs.
Agentic AI instruction encoding. 86.8% vs JSON. Inference-free decode. Any channel.
Gemini-powered MCP server for code analysis.
LLM pricing oracle — model lookup, cost estimation, and comparison via LiteLLM
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