"Understanding Inference Models" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Simulate cloud infrastructure and estimate cost before deploying or changing infrastructure.
Open AI models through one OpenAI-compatible API: chat, live model list, prices and cost estimates.
Generate game assets with AI: sprites, animations, 3D models with rigging, video, music, SFX, voices
It connects with Smart Data models database with more than 1000 open licensed data models and helps you to create applications and systems interoperable with existing standards or real applications
A second opinion before your agent acts on one model's unearned confidence. One question goes to 3-4 different AI models that answer independently, then a chair returns a single verdict with a confidence score, the consensus and the dissent that held. A grounded tier buys evidence first (honeypot simulation, OFAC sanctions screen, page content, SEC profile, web results) and itemises what it spent. Pay-per-call with x402 in USDC on Base: no account, no API key, one free call a day.
Search, rank, and compare 500,000+ AI models, datasets, papers from 13+ platforms. Hardware-aware model selection with VRAM and license constraints. 5 tools: search, rank, explain, select_model, compare.
mumo is a remote MCP server for multi-model deliberation. Your agent sends a question to models from different labs — Claude, GPT, Gemini, Grok, DeepSeek, Kimi, and more — and gets back their full responses plus typed cross-model reactions. The participating models react to each other directly and explain, in their own words, what they agree with, challenge, or want to explore further. Agents can run a deliberation with `create_deliberation`, wait for results with `wait_for_round`, and steer follow-up rounds with `append_round` using structured signals like KEEP, EXPLORE, CHALLENGE, CORE, and SHIFT. Built for architecture, plan/spec review, strategy, and pre-launch pressure tests. Free tier available. API key required.
Deterministic contextual decision arbitration and action routing for autonomous software. Takes current state, context, or intent plus caller-supplied candidate actions, state transitions, routes, refusals, escalations, tools, or models and returns a deterministic ordered candidate field. Also provides persistent machine representations for memory, retrieval, indexing, and downstream coherence measurement.
Live GPU compute & inference token price indices for AI agents — 591 reference indices across H100/A100/B200/B300 spot+on-demand, Claude/GPT/Llama token pricing, and more. Every value is methodology-versioned and citable via the /v1/verify handshake.
Build a real 3D website by chatting: pages, models and text in space, published to a live URL.
**Swiss B2B sales and everyday-AI know-how — inside your AI assistant.** 113 free 5-minute learning modules from [latzerus.ch](https://www.latzerus.ch). No account, no API key, no cookies. `https://mcp.latzerus.ch/mcp` --- **`lernmodule_suchen`** — search all modules. Understands paraphrases, synonyms, plural forms and typos. **`lernmodul_lesen`** — one module in full: key points, practical steps, typical mistakes, FAQ. **`lernmodule_uebersicht`** — everything grouped by theme, or just one theme. **`ueber_latzerus`** — what the project is and who is behind it. --- **Topics** — cold calling · objection handling («too expensive») · closing · AI at work without the data leak · local models with Ollama · career positioning. **The modules are written in German.** So are the tool names — your assistant handles that. --- **Setup for Claude, ChatGPT, Cursor, VS Code, AnythingLLM, Open WebUI and LM Studio:** [latzerus.ch/mcp](https://www.latzerus.ch/mcp/) **Source, MIT:** [github.com/kriswindu/latzerus-mcp](https://github.com/kriswindu/latzerus-mcp) Knowledge project of Christoph Latzer, St. Gallen / Zurich. Quoting welcome — please name the source.
Check if a task runs locally vs cloud. Save money on calls that don't need cloud inference.
AI Visibility Isn’t Luck. It’s Signal Alignment. Read-only MCP access to Market Brew, a patented search engineering platform for SEO and AI visibility. Market Brew uses particle swarm optimization and template models to reverse engineer observed search behavior. Inspect ranking models, content alignment, knowledge bases, crawl data, and AI visibility history through a hosted Streamable HTTP MCP server. Requires an enabled Market Brew account and OAuth. Setup guide: https://brew.marketbrew.ai/customer-manual.htm#api-and-chatgpt-read-access
Structured China NMPA UDI data for AI agents: devices, registrants, models and registration numbers.
Deterministic Music Theory for Claude, Cursor, and Autonomous AI Agents Large Language Models (LLMs) frequently hallucinate music theory, leading to incorrect notes, false Roman numerals, and broken voice leading. THIRI solves this by providing a deterministic, mathematical music-theory engine (pitch-class-set theory over ℤ/12) directly to your AI. It gives AI assistants precise, reproducible harmonic reasoning in milliseconds, allowing them to write correct musical scores, analyze progression
BPC Sustainable Carrier Agents - Low Token Zero Inference
Rights-aware censorship, China-economic status, and tamper-evident AI evaluation tools.
Latest versions, LTS windows, and EOL dates for 300+ products. Fresh ground truth for stale models.
Search 10,000+ consulting frameworks, templates, financial models, and management case studies
Persistent memory for AI agents: keyed facts, a wake bundle each session, one memory in every model.
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