3748 Model Context Protocol servers — searchable, rated, ready to install.
Norsk regnskap i Claude: bokføring, MVA, lønn og Altinn — spør på vanlig norsk.
Owned, portable working memory: a plain-files markdown brain any model can read and cite.
Self-hosted MCP server for time-series forecasting and tabular ML via foundation models.
Open-source AI context firewall for governed model, retrieval, memory, and tool access.
Generate images, video, music, voice and 3D through one API. 30 tools, 200+ models.
Self-hosted speech server whose MCP endpoint exposes ASR transcription and file staging tools.
Train, explain, optimise and deploy transparent glass-box ML models via workflow tools.
Put 3D models in someone's real room: generate, arrange, and hand back one AR link.
Measured AI-inference-storage benchmarks with citations, article search, KV-cache ROI estimation.
AI YouTube analyst in Claude for creators: audit, fix, decide what to make next, grow subs.
AI dev tools + image generation, paid per-use with USDC on Base (x402).
Run 80+ AI models on CNAPS Studio by just asking. Works with Claude, ChatGPT, n8n and Zapier.
Offline persistent memory for AI coding agents — 35 tools, 80% fewer calls, no LLM
Local MCP canvas for Modellix image generation, editing, task recovery, and visual project work.
Build, simulate and calibrate JAX block-diagram models of hybrid dynamical systems.
Vault-native, accountable memory for Claude Code and MCP clients. Markdown is ground truth.
Authenticated LLM Agent (Bcrypt)
Audit whether ChatGPT, Gemini and Perplexity recommend a site. Readiness checks need no keys.
Deterministic multi-hop graph retrieval for RAG. Zero LLM calls in the query path.
Deterministic, read-only TRIZ: matrix, principles, effects, routing, type-checked function models.
OpenAI organization usage and cost reporting through an admin API key connected by the user.
Amazon Seller Central, Ads and Vendor Central in ChatGPT & Claude. 106 tools; writes need approval.
New Relic MCP server for observing AI coding assistants (Claude Code, Cursor, Copilot, etc.)
Read and manage your Pantts boards — kanban, gantt, table and graph over one shared card model.
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