14,252 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
An AI product planning guide for deciding whether to use retrieval-augmented generation (RAG) or an agent. RAG lets an AI search a knowledge collection before answering, while an agent can choose actions and tools.
FastMCP server implementation for the Replicate API, providing resource-based access to AI model inference. Runs locally from the mcp-server-replicate Python package.
Select and connect the right vector-store backend for the vector-mcp MCP server — chromadb, postgres/pgvector, qdrant, couchbase, or mongodb — and supply the correct dbtype/connection parameters that every collection and search call needs. Use when the agent must decide which engine to target, wire up…
Use when generating images with Midjourney, constructing MJ prompts, iterating on MJ output quality, choosing between --sref/--oref/style codes, scoring image results, or building reusable prompt patterns. Also use when exploring MJ style codes, animating images, or debugging why a prompt isn't producing the intended…
Safely auto-detect the current machine's hardware (GPU, VRAM, system RAM, OS) with read-only commands, then recommend the top 3 local AI models to run — most powerful that fits, best for coding, and best small-and-fast — each with download links. Use when someone asks "what AI models can my computer run" or "what's…
Write optimized Triton GPU kernels for deep learning operations. Covers the full spectrum from basic vector ops to Flash Attention, persistent matmul, fused normalization, quantized GEMM, and memory-efficient patterns.
Overview of all available Pinecone skills and what a user needs to get started. Invoke when a user asks what skills are available, how to get started with Pinecone, or what they need to set up before using any Pinecone skill.
Extract invoices and documents from text, Markdown or Mistral OCR into typed JSON. Six core MCP tools, chat, vision, transcription and 11 Claude Code skills.
★not rated 15
changed 1mo agoA
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originalMIT
Use s-gw when working with credentials, private keys, API tokens, SSH identities, browser credentials, or other sensitive data in agentic coding workflows. Prefer typed handles and local approved execution over exposing raw secret values to a model.
The Fastest Way to Audit Your RAG - Generate QA datasets & evaluate RAG systems in Colab, Jupyter, or CLI. Privacy-first, any LLM, visual reports. Runs locally from the ragscore Python package. Needs 2 environment variables to run.
★not rated 15 5mo agoA
tokens not measured
originalApache-2.0
MCP server "mlflow-dev" as configured in kkruglik/mlflow-mcp. Runs locally from the /path/to/mlflow-mcp Python package. Needs 1 environment variable to run.
★not rated 15 3mo agoA
tokens not measured
originalMIT
Expert Apache Airflow assistance covering DAG authoring, TaskFlow API (@task), operators, sensors, and Celery/Kubernetes executors. Use when orchestrating complex data engineering and ML pipelines.
Prepare a Linux server with NVIDIA or Intel Arc GPUs for LLM and neural-network workloads: NVIDIA driver + CUDA from the official repo or the in-tree Intel i915/xe driver with distro firmware, Docker Engine with verified GPU access (NVIDIA Container Toolkit or /dev/dri passthrough) as the mandatory base, staged…
★not rated 15
changed 5d agoA
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originalMIT
Expert Apple FoundationModels guidance: SystemLanguageModel, LanguageModelSession, Generable, Tool, adapters, streaming, and error handling across iOS 26+ and OS 27+.
★not rated 15
changed 1mo agoA
tokens not measured
originalMIT
Use RoutIR — call a running endpoint with the client, stand up a local server that mixes locally-hosted services with services proxied from a remote master server, and extend RoutIR with new bi-encoders, rerankers, and document collections by writing a small config (and optionally one Python file referenced via…
End-to-end machine learning toolkit with 15 MCP tools. Train models, tune hyperparameters, detect drift, generate HTML reports with 39 chart types, detect anomalies, forecast time series, check fairness, and serve models.
★not rated 15▲
+1 7d agoA
tokens not measured
originalMIT
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: