3181 Model Context Protocol servers — searchable, rated, ready to install.
On-brand product photos, model try-ons, video reels & banners from a brief + brand kit.
Self-hosted MCP server: run OpenAI Codex CLI prompts and manage workspace files.
Securely run LLM-generated code in isolated containers across 7 languages and 3 container backends.
LLM chat, text tools, image generation, editing, batch image jobs, and asynchronous video generation
Post a project brief & publish cases on GPTaria from Claude Code, Cursor or Windsurf.
Transform video, audio and images, and generate media from prompts. FFmpeg, captions, models.
Six Flags MCP for Claude — live wait times, park hours, shows, and day planning
Live stock, crypto, SEC filings, FX and macro data for LLM agents. No API keys.
Transcribe local audio with FunASR and SenseVoice using private, on-device inference.
Query your DevExpress XAF app: entities, controllers, actions, rules, Model Editor.
Use AI models for chat, image, and video generation from Claude Code and other MCP hosts.
AAIF-verified modern MCP setup optimised to the 2026-07-28 model (BETTER textbook).
Clean messy CSVs: an LLM picks the steps, tested code does the work. Data untouched by the model.
Connect Claude to your Platform7n workspaces: chat, links, work and decks. One-click OAuth.
Design KiCad schematics by talking to Claude. Places parts, wires nets, runs ERC. Needs KiCad 10.
Stand up ops from Cursor/Claude/Codex; fleets keep running after your session ends.
Let any LLM watch a video locally — and search everything it has ever watched.
Humanize AI text and check AI-detection scores from Claude, Cursor, or any MCP client.
MCP server for ML drift detection, MLflow registry diffing, and HMAC-gated model rollback
Execute SAS code and query Compute, CAS, and model APIs on SAS Viya via OAuth 2.0.
Phylogenetic inference via IQ-TREE 3 — never returns a topology without its support
Multi-LLM entity enrichment: schemas, single/batch enrichment, fusion, model benchmarks.
Two independent AI models read a GPR, locate or pipe scan and flag the do-not-core call.
Review coding-agent plans on demand with peer models, attributed findings, and a structured verdict.
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