Leaderboard
Scored on public signals; components with none are listed as Unranked · Formula
Component
Domain
Vertical
| Rank | Score | Component | Description | Evidence | Last commit | Install |
|---|---|---|---|---|---|---|
| 301 | 55.168 | mcp-fetch-nodemcp · ai-agents | A Node.js port of the official Fetch MCP server that enables LLMs to fetch and extract web page content as markdown, with support for pagination… | 6 stars · 1 fork | No one-command install · Source | |
| 301 | 55.168 | mempalace-jsmcp · ai-agents | A local-first, zero-LLM memory system and MCP server that gives AI assistants a searchable, structured persistent memory using a spatial metaphor. | 6 stars · 1 fork | No one-command install · Source | |
| 301 | 55.168 | conductormcp · ai-agents | Provides a persistent hierarchical task tree for LLM agents, enabling them to decompose work, track progress, record results, and handle failures… | 6 stars · 1 fork | No one-command install · Source | |
| 301 | 55.168 | llmmcpmcp · ai-agents | Provides real-time, up-to-date documentation for major LLM providers (OpenAI, Anthropic, Google Gemini) to prevent hallucinations and outdated code… | 6 stars · 1 fork | No one-command install · Source | |
| 301 | 55.168 | netforensicmcpmcp · ai-agents | An MCP server for offline network forensic analysis and threat intelligence, enabling LLMs to analyze PCAP files, extract streams, detect threats, and… | 6 stars · 1 fork | No one-command install · Source | |
| 306 | 54.833 | redconmcp · ai-agents | Deterministic repository context packing for AI coding agents: selects, compresses, and budgets only the files a task needs. Measured 83% fewer input… | 9 stars | No one-command install · Source | |
| 306 | 54.833 | llm-busmcp · ai-agents | MCP server that provides a live coordination layer for AI agents, including attributable handoffs, a shared event ledger, atomic work-claiming, and… | 9 stars | No one-command install · Source | |
| 306 | 54.833 | veritymcp · ai-agents | A multi-agent verification MCP server that uses cross-family LLM critics, NLI, and consistency checks to minimize hallucinations and false claims in… | 9 stars | No one-command install · Source | |
| 309 | 53.985 | super-mcp-ocr-deepseekmcp · ai-agents | An MCP server that gives text-only LLMs like DeepSeek vision capabilities by OCRing images, PDFs, Office documents, and text files into pure text. It… | 4 stars · 3 forks | No one-command install · Source | |
| 309 | 53.985 | helpful-ais-triplyfy-mcpmcp · ai-agents | An MCP server that lets LLMs plan and manage itineraries with interactive maps in Triplyfy; manage itineraries, places and notes, and search/save… | 4 stars · 3 forks | No one-command install · Source | |
| 309 | 53.985 | mcp-xiaozhi-servermcp · ai-agents | Enables to modify and manage XiaoZhi platform agents, including changing LLM, TTS, voice, role template, and name, as well as retrieving agent list… | 4 stars · 3 forks | No one-command install · Source | |
| 309 | 53.985 | jmh-readability-parsermcp · ai-agents | Extracts and transforms webpage content into clean, LLM-optimized Markdown by removing non-essential elements while preserving key metadata. | 4 stars · 3 forks | No one-command install · Source | |
| 313 | 53.186 | automatelab-tech-citation-intelligencemcp · ai-agents | What LLMs cite, for agents. Check which URLs Perplexity, Claude, ChatGPT, Gemini, Bing, and Google AI Overviews cite for any query. Self-hosted, BYO… | 8 stars | armory install automatelab-tech-citation-intelligence --cli claude | |
| 314 | 52.498 | nv-digital-open-operator-system-nv-oosmcp · ai-agents | Enables AI-powered operations on WordPress sites, integrating multiple LLM providers and providing MCP server capabilities for chat, tools, and… | 5 stars · 1 fork | No one-command install · Source | |
| 314 | 52.498 | openclaude-mcp-servermcp · ai-agents | A high-performance control plane for Ollama-based local LLM sessions with background memory consolidation, hybrid cloud planning, and real-time fleet… | 5 stars · 1 fork | No one-command install · Source | |
| 314 | 52.498 | agentoom-knowledgemcp · ai-agents | A self-hosted, MIT-licensed MCP server that securely connects private documents and markdown files to LLMs. It provides a lightweight, local-first RAG… | 5 stars · 1 fork | No one-command install · Source | |
| 314 | 52.498 | agent-memory-osmcp · ai-agents | Local-first memory engine for AI-agent teams: private/team/project ACL, associative recall, and federated sync across nodes. One SQLite file, no LLM… | 5 stars · 1 fork | No one-command install · Source | |
| 314 | 52.498 | 0compactmemmcp · ai-agents | Zero context compaction for Claude Code & LLM agents. Persistent memory powered by OS primitives (demand paging, kswapd eviction, mlock pinning)… | 5 stars · 1 fork | No one-command install · Source | |
| 314 | 52.498 | procm-mcpmcp · ai-agents | An MCP server for secure process management, allowing LLMs to start, monitor, and manage whitelisted processes like development servers and test… | 5 stars · 1 fork | No one-command install · Source | |
| 314 | 52.498 | notebookllm-mcpmcp · ai-agents | Converts Jupyter notebooks to a simplified plain text format to reduce token usage for LLMs, and can convert back. Enables loading, editing, and… | 5 stars · 1 fork | No one-command install · Source | |
| 314 | 52.498 | mcp-long-context-readermcp · ai-agents | MCP Long Context Reader is a Python-based toolkit designed to overcome the context window limitations and high costs associated with Large Language… | 5 stars · 1 fork | No one-command install · Source | |
| 322 | 52.135 | gemini-embedding-2-mcp-servermcp · ai-agents | A multimodal local memory MCP server that lets AI agents search across text, PDFs, images, audio, and video using Gemini Embedding 2 and a local… | 4 stars · 2 forks | No one-command install · Source | |
| 322 | 52.135 | psx-mcpmcp · ai-agents | MCP server that exposes Pakistan Stock Exchange data (quotes, dividends, announcements, indices) as LLM-callable tools, enabling conversational market… | 4 stars · 2 forks | No one-command install · Source | |
| 322 | 52.135 | mercury-spec-opsmcp · ai-agents | Modular prompt engineering for software development analysis | 4 stars · 2 forks | No one-command install · Source | |
| 322 | 52.135 | deepmyst-mcp-servermcp · ai-agents | Enables intelligent LLM optimization and routing for Claude Desktop and HTTP clients, reducing token usage and automatically selecting the best model… | 4 stars · 2 forks | No one-command install · Source | |
| 322 | 52.135 | uv-mcpmcp · ai-agents | Enables LLMs to manage Python environments and dependencies via uv, supporting package inspection, installation, and requirement management. | 4 stars · 2 forks | No one-command install · Source | |
| 327 | 51.401 | nautilus-compassmcp · ai-agents | Enables AI agents to retain memory of past interactions and detect behavioral drift, preventing repeated mistakes without LLM token extraction. | 7 stars | No one-command install · Source | |
| 327 | 51.401 | wctxmcp · ai-agents | Wctx is an MCP server that captures structured, evidence-backed context from completed coding agent sessions and serves it to future sessions… | 7 stars | No one-command install · Source | |
| 327 | 51.401 | zerofusemcp · ai-agents | An MCP server that enables agents to automate refusal direction removal from open-weight LLMs via Optuna-driven search, producing standard Hugging… | 7 stars | No one-command install · Source | |
| 327 | 51.401 | bergaufmcp · ai-agents | Lets an LLM plan hikes anywhere in Switzerland by combining named routes, elevation profiles, weather forecasts, and public transport. | 7 stars | No one-command install · Source | |
| 327 | 51.401 | context-guardianmcp · ai-agents | MCP server that cuts cloud LLM costs 36-42% by indexing context locally and giving agents precision retrieval tools instead of raw context dumps. | 7 stars | No one-command install · Source | |
| 332 | 50.895 | coresignalmcp · ai-agents | Access comprehensive B2B data on companies, employees, and job postings for your LLMs and AI workflows. | 2 stars · 3 forks | No one-command install · Source | |
| 332 | 50.895 | eve-ng-mcp-servermcp · ai-agents | An MCP server that gives Claude and other LLM agents programmatic access to EVE-NG network labs, enabling creation, configuration, and management of… | 2 stars · 3 forks | No one-command install · Source | |
| 332 | 50.895 | gogabrielordonez-mcp-ragchatmcp · ai-agents | Add RAG-powered AI chat to any website with one command. Local vector store, multi-provider LLM (OpenAI/Anthropic/Gemini), self-contained chat server… | 2 stars · 3 forks | No one-command install · Source | |
| 332 | 50.895 | mcp-sqlite-memory-bankmcp · ai-agents | Dynamic SQLite memory bank with semantic search, table management, and knowledge graphs for LLM agents. | 2 stars · 3 forks | No one-command install · Source | |
| 336 | 49.325 | llmwiki-servemcp · ai-agents | Serves local Markdown wikis as a read-only knowledge source with MCP tools for agent context retrieval. | 6 stars | No one-command install · Source | |
| 336 | 49.325 | gecko-surfmcp · ai-agents | Projects an Agent Surface (deterministic call graph) for any OpenAPI, enabling LLM agents to make correct, chain-of-calls interactions without… | 6 stars | No one-command install · Source | |
| 336 | 49.325 | universal-memorymcp · ai-agents | A vendor-agnostic cognitive persistence layer for AI agents. Eliminate the "repetition tax" by transporting your context, preferences, and history… | 6 stars | No one-command install · Source | |
| 336 | 49.325 | pangolinfo-amazon-ad-tracker-review-intelligencemcp · ai-agents | Real-time Amazon Sponsored Products (SP) ad placements, keyword tracking, and comprehensive review data for AI Agents. Enables LLMs to autonomously… | 6 stars | No one-command install · Source | |
| 336 | 49.325 | leanscreenmcp · ai-agents | A calibrated faithfulness screen for informal↔Lean 4 statement pairs, served over MCP. It provides deterministic checks and deep LLM-based analysis to… | 6 stars | No one-command install · Source | |
| 336 | 49.325 | denselymcp · ai-agents | Lossless context compression for LLMs, packing text into 2x-8x fewer tokens with byte-exact reconstruction. Provides MCP tools to compress files/text… | 6 stars | No one-command install · Source | |
| 336 | 49.325 | sumitroajiprabowo-llm-wikimcp · ai-agents | Persistent knowledge base using the LLM Wiki pattern with structured markdown files. | 6 stars | No one-command install · Source | |
| 336 | 49.325 | lacausecrypto-sophonmcp · ai-agents | Deterministic context compression layer for agents that reduces prompt, history, code, and shell tokens without LLMs, GPUs, or API keys. | 6 stars | No one-command install · Source | |
| 336 | 49.325 | mnemotreemcp · ai-agents | Mnemotree is an MCP server that provides biologically-inspired memory for LLM agents, enabling storage, retrieval, and analysis of structured… | 6 stars | No one-command install · Source | |
| 336 | 49.325 | marlondivino-opencodemcp · ai-agents | Wraps the OpenCode coding assistant for token-efficient prompt refinement and code analysis with RAG-powered memory using LanceDB and Ollama. | 6 stars | No one-command install · Source | |
| 336 | 49.325 | manideep1822-omnillmmcp · ai-agents | MCP gateway connecting AI assistants to multiple LLM providers including Claude, GPT-4o, and Gemini with real-time monitoring. | 6 stars | No one-command install · Source | |
| 336 | 49.325 | saramali15792-agentragmcp · ai-agents | Agentic RAG MCP server providing persistent semantic memory over private data for Claude. | 6 stars | No one-command install · Source | |
| 336 | 49.325 | java-class-analyzer-mcpmcp · ai-agents | MCP server that scans Maven project dependencies, decompiles Java class files, and provides class structure analysis to LLMs for accurate code… | 6 stars | No one-command install · Source | |
| 349 | 49.118 | project-humanmcp · ai-agents | The MCP server incorporate humanity into the LLM response | 4 stars · 1 fork | No one-command install · Source | |
| 349 | 49.118 | davidecolombo-local-file-opsmcp · ai-agents | Delegates file read, write, edit, delete, and rename operations to a local Ollama model to keep file contents out of Claude's context. | 4 stars · 1 fork | No one-command install · Source | |
| 349 | 49.118 | indhar01-memographmcp · ai-agents | Graph-based memory system for LLMs with knowledge graphs, hybrid search, and semantic embeddings. | 4 stars · 1 fork | No one-command install · Source | |
| 349 | 49.118 | pdf-analyzermcp · ai-agents | Enables AI agents to read and analyze PDF documents for natural language Q\&A. Supports multiple LLM providers including Google Gemini, Anthropic… | 4 stars · 1 fork | No one-command install · Source | |
| 349 | 49.118 | imladrismcp · ai-agents | Enables multi-LLM deliberation via a council of panel members, judges responses for consensus and contradictions, and returns analysis to the calling… | 4 stars · 1 fork | No one-command install · Source | |
| 349 | 49.118 | wikistratamcp · ai-agents | Enables querying and interacting with a Markdown wiki generated from Confluence pages, with search and MCP server for LLM access. | 4 stars · 1 fork | No one-command install · Source | |
| 349 | 49.118 | shipitandpray-mcp-turboquantmcp · ai-agents | LLM quantization via tool call. Convert models to GGUF, GPTQ, and AWQ formats. Recommend optimal quant settings, evaluate quality, and push to Hugging… | 4 stars · 1 fork | No one-command install · Source | |
| 349 | 49.118 | spl-bgu-planningcopilotmcp · ai-agents | A tool-augmented LLM system for the full PDDL planning pipeline, improving reliability without domain-specific training. | 4 stars · 1 fork | No one-command install · Source | |
| 349 | 49.118 | mandolinemcp · ai-agents | Integrates with Mandoline's LLM evaluation platform to create custom metrics, run evaluations on prompt-response pairs, and retrieve results with… | 4 stars · 1 fork | No one-command install · Source | |
| 358 | 47.273 | paraview-mcpmcp · ai-agents | Connects ParaView to LLM assistants via the Model Context Protocol, enabling direct Python code execution and pipeline control within the ParaView… | 3 stars · 2 forks | No one-command install · Source | |
| 358 | 47.273 | adampippert-multi-service-gatewaymcp · ai-agents | Provides a unified gateway for LLMs to access GitHub, GitLab, Google Maps, Memory storage, and Puppeteer web automation tools through a Flask-based… | 3 stars · 2 forks | No one-command install · Source | |
| 358 | 47.273 | agent-hanju-char-index-mcpmcp · ai-agents | Precise character-level string indexing for LLMs. Provides tools for finding, extracting, and manipulating text by exact character position to solve… | 3 stars · 2 forks | No one-command install · Source | |
| 358 | 47.273 | webustlermcp · ai-agents | Enables clean, LLM-ready markdown extraction from any URL with automatic anti-bot bypass. | 3 stars · 2 forks | No one-command install · Source | |
| 362 | 46.654 | serial-mcpmcp · ai-agents | MCP server that lets LLMs talk to serial devices: microcontrollers, routers, modems, embedded Linux, anything with a UART. | 5 stars | No one-command install · Source | |
| 362 | 46.654 | mcp-rubber-duckmcp · ai-agents | An MCP server that bridges multiple LLMs (OpenAI-compatible APIs and CLI coding agents) for collaborative debugging and diverse AI perspectives. | 5 stars | No one-command install · Source | |
| 362 | 46.654 | latentcontext-mcp-servermcp · ai-agents | A session-scoped memory layer for LLMs that enables AI assistants to explicitly store and retrieve notes, decisions, and context within a single… | 5 stars | No one-command install · Source | |
| 362 | 46.654 | ableton-mindmcp · ai-agents | MCP server for Ableton Live that exposes the Live Object Model to LLMs, enabling natural language control of music production. | 5 stars | No one-command install · Source | |
| 362 | 46.654 | vrtxomega-omega-brain-mcpmcp · ai-agents | Omega Brain MCP Server. Hardened AI execution pipeline prioritizing NAEF logic constraints over narrative LLM hallucination. 15 VERITAS Build Gates… | 5 stars | No one-command install · Source | |
| 362 | 46.654 | jwrede-llmprobemcp · ai-agents | Synthetic monitoring for LLM inference endpoints. Measure TTFT, latency, throughput, and errors across OpenAI, Anthropic, Google, Azure, Bedrock, and… | 5 stars | No one-command install · Source | |
| 362 | 46.654 | gh-octid-io-osmpmcp · ai-agents | Encodes agentic AI instructions for low-bandwidth and offline channels with 60% compression and inference-free decoding. | 5 stars | No one-command install · Source | |
| 362 | 46.654 | cicoub13-scribemcp · ai-agents | Route bulk file operations and documentation generation from Claude to cheaper OpenAI-compatible LLMs, reducing token costs by 60–90% on routine… | 5 stars | No one-command install · Source | |
| 362 | 46.654 | ros-claw-unitree-mujocomcp · ai-agents | Simulates and controls Unitree robots through MuJoCo physics for LLM-driven robot development. | 5 stars | No one-command install · Source | |
| 362 | 46.654 | prompt-refinery-mcp-servermcp · ai-agents | Retrieval-grounded prompt refinement engine that repairs and polishes prompts via a single LLM call, exposing a refine_prompt tool for integration… | 5 stars | No one-command install · Source | |
| 362 | 46.654 | varun29ankus-mif-toolsmcp · ai-agents | Converts, validates, and inspects AI agent memories across formats including mem0, CrewAI, LangChain, and Markdown. | 5 stars | No one-command install · Source | |
| 362 | 46.654 | ai-calendar-assistantmcp · ai-agents | Provides a set of MCP tools to manage Google Calendar events via natural language, allowing creation, querying, updating, and deletion of events… | 5 stars | No one-command install · Source | |
| 374 | 44.256 | diffctxmcp · ai-agents | Selects the minimum code context an LLM needs to understand a git diff: graph-based fragment selection under a token budget, deterministic output, 30+… | 3 stars · 1 fork | No one-command install · Source | |
| 374 | 44.256 | misterdevmcp · ai-agents | An autonomous, extensible LLM build orchestrator. Give it a repo and a goal; it decomposes the goal into tasks, edits code, and gates every change on… | 3 stars · 1 fork | No one-command install · Source | |
| 374 | 44.256 | e-nab-z-mcpmcp · ai-agents | Local MCP server to access your personal health data from E-Nabız (Turkish Ministry of Health) via an LLM. Read-only, secure, and respects privacy. | 3 stars · 1 fork | No one-command install · Source | |
| 374 | 44.256 | cern-root-mcp-servermcp · ai-agents | An MCP server and CLI tool that allow LLMs to interact with CERN ROOT files. | 3 stars · 1 fork | No one-command install · Source | |
| 374 | 44.256 | spawn-mcpmcp · ai-agents | Local MCP server for the Spawn Games agent API, enabling LLMs to manage game projects, push updates, and interact with live games via a Playwright… | 3 stars · 1 fork | No one-command install · Source | |
| 374 | 44.256 | opencut-mcpmcp · ai-agents | MCP server that enables LLM agents to control the OpenCut classic video editor's timeline through a Playwright-controlled browser, allowing automated… | 3 stars · 1 fork | No one-command install · Source | |
| 374 | 44.256 | moss-brainmcp · ai-agents | MCP server that provides semantic memory with search, related-content traversal, and write-back capabilities, all powered by local embeddings of your… | 3 stars · 1 fork | No one-command install · Source | |
| 374 | 44.256 | mcp-edgemcp · ai-agents | Enables cloud LLM agents to discover and invoke physical hardware on edge and IoT devices through standard MCP tools, bridging constrained device… | 3 stars · 1 fork | No one-command install · Source | |
| 374 | 44.256 | office-addin-mcpmcp · ai-agents | MCP server for driving Office add-ins (Excel, Word, Outlook, PowerPoint, OneNote) through high-level workflow tools and queries, enabling LLM agents… | 3 stars · 1 fork | No one-command install · Source | |
| 374 | 44.256 | jscott3201-bacnetmcp · ai-agents | Enables LLM agents to interact with BACnet building automation networks for device discovery, property reads/writes, and local object management. | 3 stars · 1 fork | No one-command install · Source | |
| 374 | 44.256 | gdb-mcpmcp · ai-agents | MCP server that wraps gdb to enable LLMs to drive live debugging sessions, including starting sessions on binaries, attaching to processes, and… | 3 stars · 1 fork | No one-command install · Source | |
| 374 | 44.256 | speedyfoxai-nuntiusmcp · ai-agents | Delegate agentic tasks to local or cloud Ollama models by proxying Claude's configured MCP tools. | 3 stars · 1 fork | No one-command install · Source | |
| 374 | 44.256 | pdf-image-extractor-mcpmcp · ai-agents | Extracts images from PDF files, allowing LLMs to access and analyze embedded images from local PDF documents. | 3 stars · 1 fork | No one-command install · Source | |
| 374 | 44.256 | omni-nlimcp · ai-agents | Provides natural language inference (NLI) capabilities via the Model Context Protocol, allowing AI agents to verify factual consistency and detect… | 3 stars · 1 fork | No one-command install · Source | |
| 374 | 44.256 | adaptive-agent-mcpmcp · ai-agents | A self-evolving RAG system that enables AI agents to autonomously read and write memory, continuously learning and adapting user preferences, daily… | 3 stars · 1 fork | No one-command install · Source | |
| 374 | 44.256 | pushpullcommitpush-ml-labmcp · ai-agents | Unified machine learning platform that orchestrates training workflows across OpenAI, Mistral, Together AI, and Vertex AI while managing cloud compute… | 3 stars · 1 fork | No one-command install · Source | |
| 374 | 44.256 | lyw405-garenmcp · ai-agents | Transforms natural language descriptions into production-ready React components through XML-based artifact parsing with support for multiple AI… | 3 stars · 1 fork | No one-command install · Source | |
| 391 | 43.498 | ohmyperfmcp · ai-agents | Real-machine, real-browser web perf measurement with ~99% iframe coverage. LLM-native + AI-agent-loop ready. | 2 stars · 2 forks | No one-command install · Source | |
| 391 | 43.498 | prompt-rejector-mcpmcp · ai-agents | Protects AI agents from prompt injection attacks, jailbreak attempts, and common web vulnerabilities by screening untrusted input through semantic LLM… | 2 stars · 2 forks | No one-command install · Source | |
| 391 | 43.498 | openpoem-spec-scoremcp · ai-agents | Score specification quality before feeding them to an LLM with radar chart visualization. | 2 stars · 2 forks | No one-command install · Source | |
| 391 | 43.498 | mcp-llm-generator-v2mcp · ai-agents | Production-ready MCP server enabling LLM text generation, template management, context-aware conversations, and memory storage with enterprise quality… | 2 stars · 2 forks | No one-command install · Source | |
| 391 | 43.498 | gemini-image-video-generation-mcpmcp · ai-agents | A production-ready MCP server that enables Claude and other LLMs to generate images and videos using Google's Gemini AI models (Gemini 2.0 Flash and… | 2 stars · 2 forks | No one-command install · Source | |
| 391 | 43.498 | kstrikis-llm-responsesmcp · ai-agents | Enables multiple LLMs to share and analyze each other's responses to the same prompt, facilitating collaborative problem-solving and multi-perspective… | 2 stars · 2 forks | No one-command install · Source | |
| 397 | 43.275 | mcp-server-canteramcp · ai-agents | An MCP server that wraps Cantera to enable LLMs to perform accurate thermodynamic, transport, equilibrium, and chemical kinetics calculations. | 4 stars | No one-command install · Source | |
| 397 | 43.275 | svg-mcpmcp · ai-agents | A FastMCP server providing structured SVG authoring tools for LLMs, enabling create, edit, and render SVG graphics through hierarchical primitives… | 4 stars | No one-command install · Source | |
| 397 | 43.275 | gammaray-mcp-bridgemcp · ai-agents | Bridges GammaRay probe introspection data into MCP tools, enabling LLMs to inspect and debug Qt Quick/QML scene graphs, items, geometry, materials… | 4 stars | No one-command install · Source | |
| 397 | 43.275 | allmcps-servermcp · ai-agents | Official local MCP server for AllMCPs.com, enabling users to submit MCP servers to the directory directly from MCP-compatible agents. | 4 stars | No one-command install · Source |
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.