3473 Model Context Protocol servers — searchable, rated, ready to install.
Cost-optimized LLM pipeline + 6 AI security skills (reasoning, triage, remediation, compliance).
Local AI over Ollama for low connectivity: status, local inference, model and deployment guides.
MCP server for Obsidian Smart Connections. Semantic search using your vault's embeddings.
Discover, shortlist, compare, cost-model, and live-test 300+ AI models from your editor
MCP server that exposes Google Gemini as tools for Claude Code
Clone any web page from a URL into a verified offline HTML copy, embed, or rebuild.
Universal web scraper with LLM-ready markdown, RAG chunking, PDF/DOCX support.
MCP relay server for Claude Desktop <-> Claude Code communication
Freshdesk Support MCP server for Model Context Protocol hosts
Run Claude, Codex, Gemini, Forge, and OpenCode CLIs through MCP with background jobs
MCP server for AIShelf - allows AI model to choose workflows, rules, skills, and prompts for a task
Connect Strava training data to Claude for training load analysis and activity insights
AI booth design, floor-plan redraw, graphic design, model rendering, and LEOR project storage.
Deterministic intent preflight before your agent builds: six gates, keyless, no model call.
Gemini Exchange MCP (public endpoints).
MCP server for Africa API — access data on all 54 African countries through Claude
Productivity framework for DevOps engineers using AI assistance (Claude Code) while working on PoCs
Generate PDF reports from Re:port Flow templates via Claude and other AI agents.
Nano Banana 2 exposes the Nano Banana 2 image generation model online with prompt presets and quick
Model Context Protocol server for AgentRAM. Persistent memory for AI agents.
MCP server for AI-powered image recognition and description using OpenAI vision models.
On-demand access to thousands of install-ranked Claude Code skills - search and load mid-task.
Spawn Claude Code instances from 6 platforms when 'Dear Claude' is mentioned.
Deterministic guardrail your coding agent runs on itself: diff-scoped findings, zero LLM tokens.
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