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Scored on public signals; components with none are listed as Unranked · Formula

RankScoreComponentDescriptionEvidenceLast commitInstall
199.082alexzhang13-rlmcli · devopsContributed by SentinelGeneral plug-and-play inference library for Recursive Language Models (RLMs), supporting various sandboxes.5,644 stars · 905 forks · 3 mentionsNo one-command install · Source
297.091modal-labs-modal-clientinfra · devopsContributed by SentinelModal — serverless GPU/CPU containers for running agents, sandboxes and model inference from Python (this is the client SDK).518 stars · 132 forks · 11 mentionsNo one-command install · Source
396.385azure-ai-foundrymcp · devopsIntegrates with Microsoft Azure AI Foundry to enable model deployment, experiment tracking, dataset management, and access to Azure's cognitive…259 stars · 120 forksNo one-command install · Source
493.913rawveg-ollamamcp · devopsIntegrates Ollama's local LLM models with MCP-compatible applications, enabling on-premise AI processing and custom model deployment while maintaining…170 stars · 34 forksNo one-command install · Source
593.191dicklesworthstone-llm-gatewaymcp · devopsUnified gateway for managing multiple LLM providers with automatic model selection, semantic caching, and cost optimization features for reliable…158 stars · 25 forksNo one-command install · Source
683.287bjeans-homelabmcp · devopsUnified access to homelab infrastructure through Docker/Podman containers, Ollama AI models, Pi-hole DNS, Unifi networks, UPS monitoring, and network…40 stars · 7 forksNo one-command install · Source
780.165olalonde-mcp-humanmcp · devopsWhen your LLM needs human assistance (through AWS Mechanical Turk)26 stars · 7 forksNo one-command install · Source
873.966readwise-vector-db-mcp-servermcp · devopsTurns your Readwise library into a blazing-fast semantic search engine with a streaming MCP server for LLM clients, supporting vector search, nightly…24 stars · 2 forksNo one-command install · Source
952.498log-essencemcp · devopsEnables LLMs to analyze logs by extracting patterns, redacting secrets, and providing token-efficient summaries from files, Docker containers, or…5 stars · 1 forkNo one-command install · Source
1049.118zloeber-terraform-ingestmcp · devopsIngest and analyze Terraform modules from multiple repositories for AI RAG systems4 stars · 1 forkNo one-command install · Source
1049.118eliovp-vllm-benchmarkmcp · devopsBenchmarks vLLM deployments by measuring throughput, latency, and token generation speed through natural language test configuration4 stars · 1 forkNo one-command install · Source
1247.273python-sandbox-mcp-servermcp · devopsThis is a secure Python code execution server that enables LLMs to run Python code safely in isolated Docker containers, supporting stdout capture and…3 stars · 2 forksNo one-command install · Source
1338.066chimeraforgemcp · devopsLLM deployment planner: given a model and a GPU, answers will it fit, will it hit your SLO, and what will it cost. Sizes VRAM and KV-cache from the…2 stars · 1 forkNo one-command install · Source
1435.443aws-kbmcp · devopsIntegrates with AWS Knowledge Bases to retrieve information using Bedrock Agent Runtime, enabling RAG operations with structured metadata for…2 forksNo one-command install · Source
1532.223codemode-workersmcp · devopsExpose any API to an LLM agent as two sandboxed MCP tools (search + execute) on Cloudflare Workers.2 starsNo one-command install · Source
1622.557infra-advisor-mcpmcp · devopsEstimates GPU requirements, training/inference costs, and cloud-vs-on-prem TCO for AI workloads using deterministic calculators.1 starNo one-command install · Source
1622.557mcp-k8s-deployermcp · devopsEnables LLMs to dynamically orchestrate containerized application deployments to a Kubernetes cluster, handling configuration validation, manifest…1 starNo one-command install · Source
1622.557st-k8s-mcp-servermcp · devopsExposes Kubernetes cluster management tools to LLMs, enabling querying pods, deployments, logs, metrics, and managing port forwards via natural…1 starNo one-command install · Source
1622.557cloud-commandmcp · devopsEnables LLMs to create, destroy, and manage AWS EC2 instances, including running commands via interactive shells.1 starNo one-command install · Source
1622.557localstack-mcp-servermcp · devopsExposes LocalStack-managed AWS services as AI-agent tools, enabling LLMs and AI agents to interact with local AWS infrastructure during development…1 starNo one-command install · Source
1622.557neosun100-minimind-dockermcp · devopsContainerized MiniMind language model deployment with training pipeline, GPU acceleration, and multiple interface options including MCP tools for chat…1 starNo one-command install · Source
1622.557llm-python-code-sandboxmcp · devopsEnables LLMs to execute Python code in isolated sandboxes with file operations and MCP integration, supporting multi-round execution and plot capture.1 starNo one-command install · Source
1622.557cli-executor-mcpmcp · devopsEnables LLMs to execute CLI commands and scripts for system deployment and management tasks, with support for directory listing, system info, and…1 starNo one-command install · Source
1622.557serverless-web-mcp-servermcp · devopsAn MCP server that enables LLM coding agents to deploy web applications to AWS serverless infrastructure, supporting backend, frontend, and fullstack…1 starNo one-command install · Source
25Unrankednm-hard-toolsmcp · devopsProvides deployable, stateless MCP services for rigorous inference evaluation and benchmarking, including a profiled lm-evaluation-harness…No signals yetNo one-command install · Source
26Unrankedclbench-fireworks-rftmcp · devopsEnables reinforcement fine-tuning of Qwen3-8B on the CLBench poker task using the eval-protocol MCP-Gym framework on Fireworks infrastructure, with…No signals yetNo one-command install · Source
27Unrankedagent-env-mcpmcp · devopsProvides a restricted Docker-based sandbox for LLM agents, enabling file operations, command execution, and local Git within an isolated runtime.No signals yetNo one-command install · Source
28Unrankedmcp-k8s-context-servermcp · devopsProvides a read-only interface to Kubernetes clusters, enabling LLMs to list pods, get pod status and logs, fetch deployment manifests, and perform…No signals yetNo one-command install · Source
29Unrankedinfocepo-infra-mcpmcp · devopsExposes infocepo.com infrastructure (LLM, ChromaDB, S3, Docker registry, service discovery) as MCP tools for AI agents.No signals yetNo one-command install · Source
30Unrankedmcp-rag-servicemcp · devopsA production-minded RAG service for MCP that answers questions over your documents with hybrid retrieval, PII redaction, and source citations…No signals yetNo one-command install · Source
31Unrankedmy-mcp-server-6mcp · devopsProvides tools for greetings, calculations, weather, geocoding, and image generation via Hugging Face, deployable to Vercel and integrable with…No signals yetNo one-command install · Source
32Unrankedcoolify-anythingllm-mcpmcp · devopsConnects AnythingLLM to Coolify for natural language management of self-hosted infrastructure, including diagnostics, log fetching, and deployment…No signals yetNo one-command install · Source
33Unrankedllmstxt-doc-searchmcp · devopsLive, ranked search across any number of llms.txt documentation sites - Strands, Kiro, the AWS guides, and whatever you add at runtime.No signals yetNo one-command install · Source
34Unrankedmcp-secure-sandboxmcp · devopsProvides a secure, containerized Python sandbox for executing LLM-generated code with multi-layer isolation, along with JSON/CSV validation and…No signals yetNo one-command install · Source
35Unrankedkubewhispermcp · devopsAn AI-DevOps MCP server that gives LLMs read-only-by-default access to Kubernetes clusters, Prometheus metrics, and GitHub Actions, enabling natural…No signals yetNo one-command install · Source
36Unrankedmcp-eval-harnessmcp · devopsMCP-based code evaluation harness — sandboxed execution + LLM quality scoring.No signals yetNo one-command install · Source
37Unrankedhugo-llms-mcpmcp · devopsA generic MCP (Model Context Protocol) server for any Hugo blog, deployed on Cloudflare Workers. It reads your blog's llms.txt and llms-full.txt files…No signals yetNo one-command install · Source
38Unrankedweathgardsmcp · devopsExposes MCP tools that enable remote LLMs to query local Docker containers, OS processes, and system services in real time.No signals yetNo one-command install · Source
39Unrankedth1234th-devopsmcp · devopsDevOps automation platform implementing MCP with integrations for Docker, Kubernetes, and AWS, featuring LLM-powered natural language automation.No signals yetNo one-command install · Source
40Unrankedcloudflare-autoragmcp · devopsCreate fully-managed RAG pipelines to power your AI applications with accurate and up-to-date information.No signals yetNo commit datelisted No one-command install · Source
41Unrankedcustom-modelrules · devopsOverride the default Claude model with a custom or alternative model configuration. Useful for testing new model versions or using…No signals yetNo commit datelisted armory install custom-model --cli claude
42Unrankedgguf-quantizationskill · devopsGGUF format and llama.cpp quantization for efficient CPU/GPU inference. Use when deploying models on consumer hardware, Apple Silicon, or when needing…No signals yetNo commit datelisted armory install gguf-quantization --cli claude
43Unrankedhqq-quantizationskill · devopsHalf-Quadratic Quantization for LLMs without calibration data. Use when quantizing models to 4/3/2-bit precision without needing calibration datasets…No signals yetNo commit datelisted armory install hqq-quantization --cli claude
44Unrankedlambda-labs-gpu-cloudskill · devopsReserved and on-demand GPU cloud instances for ML training and inference. Use when you need dedicated GPU instances with simple SSH access, persistent…No signals yetNo commit datelisted armory install lambda-labs-gpu-cloud --cli claude
45Unrankedllamaguardskill · devopsMeta's 7-8B specialized moderation model for LLM input/output filtering. 6 safety categories - violence/hate, sexual content, weapons, substances…No signals yetNo commit datelisted armory install llamaguard --cli claude
46Unrankedllm-architectsubagent · devopsUse when designing LLM systems for production, implementing fine-tuning or RAG architectures, optimizing inference serving infrastructure, or managing…No signals yetNo commit datelisted armory install llm-architect --cli claude
47Unrankedml-engineersubagent · devopsUse this agent when building production ML systems requiring model training pipelines, model serving infrastructure, performance optimization, and…No signals yetNo commit datelisted armory install ml-engineer --cli claude
48Unrankedmorph-cloudinfra · devopsHypervisor-level snapshotting cloud for agent inference — fork and snapshot VM state for fast agent branching.No signals yetNo commit datelisted No one-command install · Source
49Unrankedreplicateinfra · devopsAPI platform for running ML models in the cloud. Useful for deploying custom model components in agent pipelines.No signals yetNo commit datelisted No one-command install · Source
50Unrankedsenior-computer-visionskill · devopsWorld-class computer vision skill for image/video processing, object detection, segmentation, and visual AI systems. Expertise in PyTorch, OpenCV…No signals yetNo commit datelisted armory install senior-computer-vision --cli claude
51Unrankedsenior-ml-engineerskill · devopsWorld-class ML engineering skill for productionizing ML models, MLOps, and building scalable ML systems. Expertise in PyTorch, TensorFlow, model…No signals yetNo commit datelisted armory install senior-ml-engineer --cli claude
52Unrankedspeculative-decodingskill · devopsAccelerate LLM inference using speculative decoding, Medusa multiple heads, and lookahead decoding techniques. Use when optimizing inference speed…No signals yetNo commit datelisted armory install speculative-decoding --cli claude
53Unrankedtensorrt-llmskill · devopsOptimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when…No signals yetNo commit datelisted armory install tensorrt-llm --cli claude

Score colour shows how many signals stand behind it, never how good it is: amber, three or more; dimmer amber, two; grey, one. The Evidence column names them.

Stars, forks and last commit are as GitHub reported them when Armory last read each repository: for most, or later. A repository may have changed since.

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