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MCP server that generates production-ready visual assets by routing requests across 30+ image generation models. Handles app icons, favicons, OG images, logos, and wordmarks. Validates output for WCAG contrast and palette consistency. Zero API key required for first run via Pollinations and Stable Horde free tiers.

Cross-platform AI desktop client with multiple LLM providers, local model support, 300+ assistants, document and image handling, WebDAV backup, MCP server support, mini programs, and enterprise deployment options.

Official Hugging Face Agent Skills collection for Claude Code, Codex, Cursor, Gemini CLI, and other skills-compatible agents, covering Hub CLI workflows, datasets, model search, Spaces, Gradio, fine-tuning, evaluations, local models, papers, Trackio, ZeroGPU, transformers.js, TRL, and the Hugging Face MCP server.

Hugging Face Python agent library for CodeAgent and ToolCallingAgent workflows, where agents write Python actions, call tools, use MCP tool collections, connect to Hub tools and spaces, run with LiteLLM or local models, and use optional sandboxes.

Official Auxen.ai remote MCP server for listing GPU models and instances, checking account balance, and provisioning or destroying inference instances from Claude via OAuth 2.1 or API keys.

Provider Abstraction Layer MCP server for orchestrating multiple AI models, external AI CLIs, planning, consensus, code review, debugging, and delegated sub-agent workflows from one MCP client.

Apache-2.0 dbt engine for transforming warehouse data with SQL models, Jinja, YAML configs, tests, documentation, lineage, metadata, and build artifacts.

Open-source data and model versioning tool for tracking datasets, ML artifacts, pipelines, experiments, metrics, and remote storage alongside Git.

Open-source ML and LLM observability framework for evaluating, testing, and monitoring data quality, drift, model behavior, and AI application outputs.

Apache-2.0 library for parameter-efficient fine-tuning of large pretrained models with adapters, LoRA, prompt tuning, Transformers, Diffusers, and Accelerate.

Apache-2.0 model-definition framework for pretrained text, vision, audio, video, and multimodal models across inference, training, pipelines, generation, and fine-tuning.

Open-source Python library for structured LLM outputs using Pydantic response models, validation, retries, streaming, and provider adapters.

MIT-licensed C/C++ LLM inference runtime for running GGUF models locally or through a lightweight OpenAI-compatible llama-server.

Open-source AI engineering platform for tracing, evaluating, prompt-managing, and deploying agents, LLM applications, and ML models.

Local model runner for downloading, serving, and integrating open models with developer tools and agent workflows.

Open-source high-throughput LLM inference and serving engine with PagedAttention, continuous batching, OpenAI-compatible APIs, tool calling, and structured outputs.

Open-source, self-hostable AI engine that runs LLMs, vision, voice, image, and video models on your own hardware behind one API, with drop-in OpenAI, Anthropic, and ElevenLabs API compatibility, composable on-demand backends, and no GPU required.

Apache-2.0 library for pretrained diffusion model pipelines, schedulers, adapters, optimization, and training workflows for image, video, and audio generation in PyTorch.

Apache-2.0 Python framework from Hugging Face for dense embeddings, sparse embeddings, semantic search, reranking, multimodal retrieval, and embedding-model training.

Open-source library for fast, memory-efficient fine-tuning, reinforcement learning, and training of open LLMs — train 500+ models up to 2x faster with up to 70% less VRAM and no accuracy loss, with LoRA/QLoRA support and export to GGUF, safetensors, vLLM, and Ollama.

Hosted streamable-HTTP MCP server that exposes inference.sh platform tools for running apps, managing tasks, proxying external MCP connectors, and calling hundreds of hosted AI models from Claude Code, Cursor, and other MCP clients.

Query Groq's ultra-fast inference models from Claude — vision, text-to-speech, speech-to-text, batch processing, and agentic compound-beta tools with web search and code execution — using the official Groq Model Context Protocol server.

Microsoft-maintained Fabric skill bundles for AI coding assistants working with Warehouses, Lakehouses, Spark, Power BI semantic models, Eventhouse/KQL, Eventstreams, Dataflows Gen2, migrations, and medallion architectures.

An MCP server from the official Couchbase-Ecosystem org that lets LLMs interact directly with Couchbase clusters — running SQL++/N1QL queries, performing document CRUD, discovering schema and data models, and analyzing query performance, with a read-only mode enabled by default.

MCP server for Odoo ERP systems, with tools for reading records, discovering models and fields, aggregating data, diagnosing access, scanning addons, planning migrations, and running gated safe-write workflows.

Ruby gem MCP server for Rails projects that lets Claude inspect files, routes, models, schema, controller-view relationships, environment config, and framework guides.

Apache-2.0 library for loading, computing, comparing, saving, and sharing evaluation modules for machine learning models and datasets.