Leaderboard
Scored on public signals; components with none are listed as Unranked · Formula
Component
Domain
Vertical
| Rank | Score | Component | Description | Evidence | Last commit | Install |
|---|---|---|---|---|---|---|
| 1 | 99.082 | alexzhang13-rlmcli · devopsContributed by Sentinel | General plug-and-play inference library for Recursive Language Models (RLMs), supporting various sandboxes. | 5,644 stars · 905 forks · 3 mentions | No one-command install · Source | |
| 2 | 97.091 | modal-labs-modal-clientinfra · devopsContributed by Sentinel | Modal — serverless GPU/CPU containers for running agents, sandboxes and model inference from Python (this is the client SDK). | 518 stars · 132 forks · 11 mentions | No one-command install · Source | |
| 3 | 96.385 | azure-ai-foundrymcp · devops | Integrates with Microsoft Azure AI Foundry to enable model deployment, experiment tracking, dataset management, and access to Azure's cognitive… | 259 stars · 120 forks | No one-command install · Source | |
| 4 | 93.913 | rawveg-ollamamcp · devops | Integrates Ollama's local LLM models with MCP-compatible applications, enabling on-premise AI processing and custom model deployment while maintaining… | 170 stars · 34 forks | No one-command install · Source | |
| 5 | 93.191 | dicklesworthstone-llm-gatewaymcp · devops | Unified gateway for managing multiple LLM providers with automatic model selection, semantic caching, and cost optimization features for reliable… | 158 stars · 25 forks | No one-command install · Source | |
| 6 | 83.287 | bjeans-homelabmcp · devops | Unified access to homelab infrastructure through Docker/Podman containers, Ollama AI models, Pi-hole DNS, Unifi networks, UPS monitoring, and network… | 40 stars · 7 forks | No one-command install · Source | |
| 7 | 80.165 | olalonde-mcp-humanmcp · devops | When your LLM needs human assistance (through AWS Mechanical Turk) | 26 stars · 7 forks | No one-command install · Source | |
| 8 | 73.966 | readwise-vector-db-mcp-servermcp · devops | Turns 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 forks | No one-command install · Source | |
| 9 | 52.498 | log-essencemcp · devops | Enables LLMs to analyze logs by extracting patterns, redacting secrets, and providing token-efficient summaries from files, Docker containers, or… | 5 stars · 1 fork | No one-command install · Source | |
| 10 | 49.118 | zloeber-terraform-ingestmcp · devops | Ingest and analyze Terraform modules from multiple repositories for AI RAG systems | 4 stars · 1 fork | No one-command install · Source | |
| 10 | 49.118 | eliovp-vllm-benchmarkmcp · devops | Benchmarks vLLM deployments by measuring throughput, latency, and token generation speed through natural language test configuration | 4 stars · 1 fork | No one-command install · Source | |
| 12 | 47.273 | python-sandbox-mcp-servermcp · devops | This 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 forks | No one-command install · Source | |
| 13 | 38.066 | chimeraforgemcp · devops | LLM 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 fork | No one-command install · Source | |
| 14 | 35.443 | aws-kbmcp · devops | Integrates with AWS Knowledge Bases to retrieve information using Bedrock Agent Runtime, enabling RAG operations with structured metadata for… | 2 forks | No one-command install · Source | |
| 15 | 32.223 | codemode-workersmcp · devops | Expose any API to an LLM agent as two sandboxed MCP tools (search + execute) on Cloudflare Workers. | 2 stars | No one-command install · Source | |
| 16 | 22.557 | infra-advisor-mcpmcp · devops | Estimates GPU requirements, training/inference costs, and cloud-vs-on-prem TCO for AI workloads using deterministic calculators. | 1 star | No one-command install · Source | |
| 16 | 22.557 | mcp-k8s-deployermcp · devops | Enables LLMs to dynamically orchestrate containerized application deployments to a Kubernetes cluster, handling configuration validation, manifest… | 1 star | No one-command install · Source | |
| 16 | 22.557 | st-k8s-mcp-servermcp · devops | Exposes Kubernetes cluster management tools to LLMs, enabling querying pods, deployments, logs, metrics, and managing port forwards via natural… | 1 star | No one-command install · Source | |
| 16 | 22.557 | cloud-commandmcp · devops | Enables LLMs to create, destroy, and manage AWS EC2 instances, including running commands via interactive shells. | 1 star | No one-command install · Source | |
| 16 | 22.557 | localstack-mcp-servermcp · devops | Exposes LocalStack-managed AWS services as AI-agent tools, enabling LLMs and AI agents to interact with local AWS infrastructure during development… | 1 star | No one-command install · Source | |
| 16 | 22.557 | neosun100-minimind-dockermcp · devops | Containerized MiniMind language model deployment with training pipeline, GPU acceleration, and multiple interface options including MCP tools for chat… | 1 star | No one-command install · Source | |
| 16 | 22.557 | llm-python-code-sandboxmcp · devops | Enables LLMs to execute Python code in isolated sandboxes with file operations and MCP integration, supporting multi-round execution and plot capture. | 1 star | No one-command install · Source | |
| 16 | 22.557 | cli-executor-mcpmcp · devops | Enables LLMs to execute CLI commands and scripts for system deployment and management tasks, with support for directory listing, system info, and… | 1 star | No one-command install · Source | |
| 16 | 22.557 | serverless-web-mcp-servermcp · devops | An MCP server that enables LLM coding agents to deploy web applications to AWS serverless infrastructure, supporting backend, frontend, and fullstack… | 1 star | No one-command install · Source | |
| 25 | Unranked | nm-hard-toolsmcp · devops | Provides deployable, stateless MCP services for rigorous inference evaluation and benchmarking, including a profiled lm-evaluation-harness… | No signals yet | No one-command install · Source | |
| 26 | Unranked | clbench-fireworks-rftmcp · devops | Enables reinforcement fine-tuning of Qwen3-8B on the CLBench poker task using the eval-protocol MCP-Gym framework on Fireworks infrastructure, with… | No signals yet | No one-command install · Source | |
| 27 | Unranked | agent-env-mcpmcp · devops | Provides a restricted Docker-based sandbox for LLM agents, enabling file operations, command execution, and local Git within an isolated runtime. | No signals yet | No one-command install · Source | |
| 28 | Unranked | mcp-k8s-context-servermcp · devops | Provides a read-only interface to Kubernetes clusters, enabling LLMs to list pods, get pod status and logs, fetch deployment manifests, and perform… | No signals yet | No one-command install · Source | |
| 29 | Unranked | infocepo-infra-mcpmcp · devops | Exposes infocepo.com infrastructure (LLM, ChromaDB, S3, Docker registry, service discovery) as MCP tools for AI agents. | No signals yet | No one-command install · Source | |
| 30 | Unranked | mcp-rag-servicemcp · devops | A production-minded RAG service for MCP that answers questions over your documents with hybrid retrieval, PII redaction, and source citations… | No signals yet | No one-command install · Source | |
| 31 | Unranked | my-mcp-server-6mcp · devops | Provides tools for greetings, calculations, weather, geocoding, and image generation via Hugging Face, deployable to Vercel and integrable with… | No signals yet | No one-command install · Source | |
| 32 | Unranked | coolify-anythingllm-mcpmcp · devops | Connects AnythingLLM to Coolify for natural language management of self-hosted infrastructure, including diagnostics, log fetching, and deployment… | No signals yet | No one-command install · Source | |
| 33 | Unranked | llmstxt-doc-searchmcp · devops | Live, ranked search across any number of llms.txt documentation sites - Strands, Kiro, the AWS guides, and whatever you add at runtime. | No signals yet | No one-command install · Source | |
| 34 | Unranked | mcp-secure-sandboxmcp · devops | Provides a secure, containerized Python sandbox for executing LLM-generated code with multi-layer isolation, along with JSON/CSV validation and… | No signals yet | No one-command install · Source | |
| 35 | Unranked | kubewhispermcp · devops | An AI-DevOps MCP server that gives LLMs read-only-by-default access to Kubernetes clusters, Prometheus metrics, and GitHub Actions, enabling natural… | No signals yet | No one-command install · Source | |
| 36 | Unranked | mcp-eval-harnessmcp · devops | MCP-based code evaluation harness — sandboxed execution + LLM quality scoring. | No signals yet | No one-command install · Source | |
| 37 | Unranked | hugo-llms-mcpmcp · devops | A 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 yet | No one-command install · Source | |
| 38 | Unranked | weathgardsmcp · devops | Exposes MCP tools that enable remote LLMs to query local Docker containers, OS processes, and system services in real time. | No signals yet | No one-command install · Source | |
| 39 | Unranked | th1234th-devopsmcp · devops | DevOps automation platform implementing MCP with integrations for Docker, Kubernetes, and AWS, featuring LLM-powered natural language automation. | No signals yet | No one-command install · Source | |
| 40 | Unranked | cloudflare-autoragmcp · devops | Create fully-managed RAG pipelines to power your AI applications with accurate and up-to-date information. | No signals yet | No commit datelisted | No one-command install · Source |
| 41 | Unranked | custom-modelrules · devops | Override the default Claude model with a custom or alternative model configuration. Useful for testing new model versions or using… | No signals yet | No commit datelisted | armory install custom-model --cli claude |
| 42 | Unranked | gguf-quantizationskill · devops | GGUF format and llama.cpp quantization for efficient CPU/GPU inference. Use when deploying models on consumer hardware, Apple Silicon, or when needing… | No signals yet | No commit datelisted | armory install gguf-quantization --cli claude |
| 43 | Unranked | hqq-quantizationskill · devops | Half-Quadratic Quantization for LLMs without calibration data. Use when quantizing models to 4/3/2-bit precision without needing calibration datasets… | No signals yet | No commit datelisted | armory install hqq-quantization --cli claude |
| 44 | Unranked | lambda-labs-gpu-cloudskill · devops | Reserved 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 yet | No commit datelisted | armory install lambda-labs-gpu-cloud --cli claude |
| 45 | Unranked | llamaguardskill · devops | Meta's 7-8B specialized moderation model for LLM input/output filtering. 6 safety categories - violence/hate, sexual content, weapons, substances… | No signals yet | No commit datelisted | armory install llamaguard --cli claude |
| 46 | Unranked | llm-architectsubagent · devops | Use when designing LLM systems for production, implementing fine-tuning or RAG architectures, optimizing inference serving infrastructure, or managing… | No signals yet | No commit datelisted | armory install llm-architect --cli claude |
| 47 | Unranked | ml-engineersubagent · devops | Use this agent when building production ML systems requiring model training pipelines, model serving infrastructure, performance optimization, and… | No signals yet | No commit datelisted | armory install ml-engineer --cli claude |
| 48 | Unranked | morph-cloudinfra · devops | Hypervisor-level snapshotting cloud for agent inference — fork and snapshot VM state for fast agent branching. | No signals yet | No commit datelisted | No one-command install · Source |
| 49 | Unranked | replicateinfra · devops | API platform for running ML models in the cloud. Useful for deploying custom model components in agent pipelines. | No signals yet | No commit datelisted | No one-command install · Source |
| 50 | Unranked | senior-computer-visionskill · devops | World-class computer vision skill for image/video processing, object detection, segmentation, and visual AI systems. Expertise in PyTorch, OpenCV… | No signals yet | No commit datelisted | armory install senior-computer-vision --cli claude |
| 51 | Unranked | senior-ml-engineerskill · devops | World-class ML engineering skill for productionizing ML models, MLOps, and building scalable ML systems. Expertise in PyTorch, TensorFlow, model… | No signals yet | No commit datelisted | armory install senior-ml-engineer --cli claude |
| 52 | Unranked | speculative-decodingskill · devops | Accelerate LLM inference using speculative decoding, Medusa multiple heads, and lookahead decoding techniques. Use when optimizing inference speed… | No signals yet | No commit datelisted | armory install speculative-decoding --cli claude |
| 53 | Unranked | tensorrt-llmskill · devops | Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when… | No signals yet | No 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.