3309 Model Context Protocol servers — searchable, rated, ready to install.
Live, verified LLM API prices and deals: free models, discounts, compare, costs, price changes.
Your family office in Claude, ChatGPT, and Muse. Ask about your trusts, entities, and documents.
Chess MCP for Claude: engine analysis, attack maps, game review. One URL, no install.
Recraft AI Image Generation MCP Server for AI coding agents
Multi-agent coordination outside your LLM context: dedupe parallel work, per-agent budgets, handoff
Evaluate your project path, property readiness, budget planning, builder questions, smart-home prior
A live, curated feed of new AI agent capabilities across MCP, SDKs, models, and APIs.
A second opinion from an unrelated AI model before you commit to a decision.
Sovereign intelligence dossiers, daily briefings, RAG search, knowledge graph, codon optimizer.
Screenshot, PDF and HTML-to-image rendering API so Claude and Cursor can see any web page.
Manage SysML2 projects; check, evaluate, verify, query, document and diagram models.
Build, edit, solve and analyse Convexity energy-system models from any MCP client; drives the app.
NAIC AI model bulletin adoption by state, with citations. Insurance AI compliance data.
LLM releases: new models, availability, context. Register in-session — free testnet funds.
Read-only search and navigation of Sparx Enterprise Architect .qea model exports
Share one project context across ChatGPT, Claude, Telegram and any MCP client.
Car repair cost estimates by make, model and repair type. 31 cost guides, VIN decode. Free.
Truck & trailer load planning in Claude & ChatGPT: what fits, how full, a labelled 3D plan in chat.
Look up a vehicle by license plate against official sources (make/model, year, status, restrictions)
Independent verification that a change kept its declared constraints. No model in the verdict path.
Delegate bulk code edits to a cheap worker model. Gated, atomic. PHP and Python.
Access your KStreak notes, Knowledge Ledger, tasks & goals from Claude, ChatGPT, Cursor, or any MCP.
Context optimization for LLM agents: tool registry, result masking, budgeting, compaction.
AI inference pricing for agents: live and historical model prices, provider comparison.
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