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 | 98.652 | coleam00-crawl4ai-ragmcp · search | Integrates web crawling with RAG functionality to enable website content retrieval, storage in vector databases, and semantic searching over crawled… | 2,246 stars · 579 forks | No one-command install · Source | |
| 2 | 98.141 | nickclyde-duckduckgo-searchmcp · search | Integrates with DuckDuckGo to provide web search capabilities, content fetching, and parsing, with results formatted for large language model… | 1,446 stars · 186 forks | No one-command install · Source | |
| 3 | 97.993 | apecloud-aperagmcp · search | Production-ready RAG platform combining Graph RAG, vector search, and full-text search. Best choice for building your own Knowledge Graph and for… | 1,318 stars · 147 forks | No one-command install · Source | |
| 4 | 97.632 | coleam00-mem0mcp · search | Provides persistent long-term memory capabilities through semantic indexing, retrieval, and search functions with support for multiple LLM providers… | 681 stars · 237 forks | No one-command install · Source | |
| 5 | 96.409 | ggozad-haiku-ragmcp · search | Agentic RAG system powered by LanceDB, Pydantic AI, and Docling | 587 stars · 41 forks | No one-command install · Source | |
| 6 | 96.294 | shinpr-local-ragmcp · search | Local RAG for semantic document search without external API calls. | 378 stars · 69 forks | No one-command install · Source | |
| 7 | 96.003 | pageindexmcp · search | Reasoning-based RAG system for analyzing long PDF documents | 383 stars · 47 forks | No one-command install · Source | |
| 8 | 95.459 | contextweavermcp · search | A semantic code retrieval engine for AI agents that enables hybrid search, graph expansion, and token-aware context packing, integrating with MCP to… | 296 stars · 42 forks | No one-command install · Source | |
| 9 | 95.343 | ozamatash-open-deep-researchmcp · search | Performs iterative, deep research on any topic by combining search engines, web scraping, and large language models to generate comprehensive markdown… | 323 stars · 33 forks | No one-command install · Source | |
| 10 | 95.108 | glommer-codemoggermcp · search | Code indexing library with tree-sitter parsing and semantic search via embedding-based similarity. | 340 stars · 27 forks | No one-command install · Source | |
| 11 | 94.455 | hannesrudolph-qdrant-docs-ragmcp · search | Real-time documentation context through vector-based search and retrieval via Qdrant. | 265 stars · 24 forks | No one-command install · Source | |
| 12 | 94.302 | qpd-v-ragdocsmcp · search | Integrates semantic search and retrieval of documentation using a vector database (Qdrant), enabling efficient access to large document collections. | 136 stars · 60 forks | No one-command install · Source | |
| 13 | 93.969 | 34892002-bilibili-mcp-jsmcp · search | A MCP server that supports searching for Bilibili content. Provides LangChain integration examples and test scripts. | 192 stars · 28 forks | No one-command install · Source | |
| 14 | 92.142 | madarco-ragrabbitmcp · search | Integrates with RagRabbit to crawl websites, generate vector embeddings, and enable search and question answering from indexed content for… | 135 stars · 18 forks | No one-command install · Source | |
| 15 | 92.123 | code-pathfindermcp · search | AI-native static code analysis with call graphs, data flow tracing, type inference, and symbol search for Python and Go. | 140 stars · 17 forks | No one-command install · Source | |
| 16 | 92.079 | sheawinkler-contextlatticemcp · search | Structured context management for LLMs with hierarchical organization and retrieval. | 153 stars · 15 forks | No one-command install · Source | |
| 16 | 92.079 | pulik-io-memorymcp · search | Provides persistent memory storage across different AI sessions using semantic search and RAG capabilities, maintaining user context, preferences, and… | 153 stars · 15 forks | No one-command install · Source | |
| 18 | 91.282 | helixml-koditmcp · search | Indexes local codebases and Git repositories using tree-sitter parsing and semantic embeddings to enable hybrid search combining vector similarity… | 123 stars · 14 forks | No one-command install · Source | |
| 19 | 90.784 | st3v3nmw-sourcerermcp · search | Indexes codebases using Tree-sitter parsing and vector embeddings to enable semantic code search through natural language queries and source code… | 119 stars · 12 forks | No one-command install · Source | |
| 20 | 90.589 | redleaves-context-keepermcp · search | LLM-driven context and memory management with wide-recall + precise-reranking RAG architecture. Features multi-dimensional retrieval… | 153 stars · 9 forks | No one-command install · Source | |
| 21 | 89.728 | cursor10x-memorymcp · search | Provides persistent memory for Cursor through vector-based semantic search and structured data storage, enabling long-term context awareness across… | 79 stars · 15 forks | No one-command install · Source | |
| 22 | 89.322 | sammcj-llamaindexmcp · search | Integrates with LlamaIndexTS to provide access to various LLM providers for code generation, documentation writing, and question answering tasks | 78 stars · 13 forks | No one-command install · Source | |
| 23 | 88.750 | mcp-markdown-ragmcp · search | A Model Context Protocol (MCP) server that provides a local-first RAG engine for your markdown documents. It uses a file-based Milvus vector database… | 61 stars · 18 forks | No one-command install · Source | |
| 24 | 88.471 | devragmcp · search | A lightweight RAG (Retrieval-Augmented Generation) system for Claude Code that enables semantic search over local markdown documents via MCP tools… | 64 stars · 14 forks | No one-command install · Source | |
| 25 | 86.206 | hyson666-pdf-ragmcp · search | Enables semantic search across PDF documents through automatic processing, chunking, and vectorization for intelligent querying and knowledge… | 42 stars · 16 forks | No one-command install · Source | |
| 26 | 85.914 | privetin-chromamcp · search | Integrates ChromaDB vector database capabilities for efficient semantic document search, storage, and retrieval in natural language processing and… | 41 stars · 15 forks | No one-command install · Source | |
| 27 | 85.683 | crawl4ai-ragmcp · search | Combines web crawling with vector search to enable content extraction, semantic indexing, and retrieval-augmented generation over web-based… | 45 stars · 11 forks | No one-command install · Source | |
| 28 | 84.793 | jurasofish-mcpunkmcp · search | MCPunk provides tools for performing Roaming RAG | 56 stars · 6 forks | No one-command install · Source | |
| 29 | 84.660 | rag-anythingmcp · search | Provides RAG capabilities for processing and querying document directories using LightRAG with multimodal content extraction across PDF, DOCX, PPTX… | 35 stars · 14 forks | No one-command install · Source | |
| 30 | 84.504 | doitmagic-ragcodemcp · search | Privacy-first semantic code search using local Ollama and Qdrant vector storage for multi-language repository understanding | 53 stars · 6 forks | No one-command install · Source | |
| 30 | 84.504 | duysolo-codebaxingmcp · search | Provides semantic code search capabilities using natural language queries, indexing codebases with Tree-sitter parsing, all-MiniLM-L6-v2 embeddings… | 53 stars · 6 forks | No one-command install · Source | |
| 32 | 84.004 | youtube-semantic-searchmcp · search | Leverages LanceDB for vector storage to enable semantic search and multilingual transcript retrieval from YouTube videos using Google's generative AI… | 32 stars · 14 forks | No one-command install · Source | |
| 33 | 83.625 | cocoindex-code-mcp-servermcp · search | A Model Context Protocol (MCP) server that provides a RAG (Retrieval Augmented Generation) tool with hybrid search capabilities combining vector… | 42 stars · 7 forks | No one-command install · Source | |
| 34 | 83.292 | h7lu-rimworld-code-searchmcp · search | Combine lexical and semantic search for RimWorld modding code with hybrid RAG system using Lucene and embeddings | 44 stars · 6 forks | No one-command install · Source | |
| 35 | 83.042 | context-enginemcp · search | A task-aware context compression layer for Agent workflows, RAG pipelines, and AI Coding assistants, reducing noisy logs, retrieval chunks, and code… | 353 stars · 1 fork | No one-command install · Source | |
| 36 | 82.905 | sefaria-mcp-servermcp · search | Enables LLMs to access and search Jewish texts from the Sefaria library through 15 MCP tools, including text retrieval, search, and manuscript access. | 23 stars · 14 forks | No one-command install · Source | |
| 37 | 82.189 | data360-mcp-servermcp · search | Provides LLM agents direct access to World Bank development indicators, enabling search, validation, and retrieval of data on topics like GDP… | 34 stars · 7 forks | No one-command install · Source | |
| 38 | 81.946 | vectara-ragmcp · search | Provides a bridge between conversational interfaces and Vectara's Retrieval-Augmented Generation capabilities, enabling powerful search queries that… | 29 stars · 9 forks | No one-command install · Source | |
| 39 | 81.008 | macrocosm-os-macrocosmos-mcpmcp · search | 🎖️ 🐍 ☁️ Access real-time X/Reddit/YouTube data directly in your LLM applications with search phrases, users, and date filtering. | 29 stars · 7 forks | No one-command install · Source | |
| 40 | 80.854 | inkeep-ragmcp · search | Enables Claude to search and retrieve relevant documentation through Inkeep's RAG API, returning structured citation data for technical support and… | 24 stars · 10 forks | No one-command install · Source | |
| 41 | 80.829 | rust-local-ragmcp · search | Provides local document search and retrieval using Rust for high-performance PDF processing and semantic search with Ollama embeddings, automatically… | 34 stars · 5 forks | No one-command install · Source | |
| 42 | 80.740 | minirag-mcpmcp · search | Local-first RAG MCP server that indexes local documents and provides hybrid search (semantic + keyword) with file ingestion, URL fetching, and a CLI… | 65 stars · 2 forks | No one-command install · Source | |
| 43 | 80.662 | sanderkooger-ragdocsmcp · search | Provides semantic document search and retrieval through vector embeddings, enabling context-aware responses backed by specific documentation sources | 30 stars · 6 forks | No one-command install · Source | |
| 44 | 80.345 | msjsc001-omniclip-ragmcp · search | Local-first RAG knowledge base supporting 1290 file formats with semantic search, markdown indexing, and read-only MCP retrieval. | 45 stars · 3 forks | No one-command install · Source | |
| 45 | 79.676 | kazuph-docs-ragmcp · search | Enables AI to query and analyze local documents and Git repositories through a RAG system built with TypeScript, LlamaIndex, and Gemini embeddings. | 17 stars · 11 forks | No one-command install · Source | |
| 46 | 79.537 | web-search-mcp-2mcp · search | Provides LLMs with real-time web search and content extraction capabilities, including text/news search, full-text URL reading, and targeted technical… | 24 stars · 7 forks | No one-command install · Source | |
| 47 | 78.908 | cevatkerim-unsplash-mcpmcp · search | Unsplash photo search with proper attribution. Returns ready-to-use attribution text and HTML for each photo, making it easy for LLMs to build content… | 24 stars · 6 forks | No one-command install · Source | |
| 48 | 77.746 | yairwein-document-indexermcp · search | Monitors local document folders and maintains a searchable vector index using LanceDB and sentence transformers, enabling natural language queries… | 21 stars · 6 forks | No one-command install · Source | |
| 49 | 77.488 | estevaom-journal-ragmcp · search | Enables semantic search through personal markdown journal entries using vector database technology for effortless retrieval of past experiences… | 25 stars · 4 forks | No one-command install · Source | |
| 50 | 77.233 | zim-mcp-servermcp · search | Enables large language models to directly access and search content in ZIM files, allowing offline question answering and information retrieval from… | 20 stars · 6 forks | No one-command install · Source | |
| 51 | 76.838 | kikeven-zerikai-memorymcp · search | Workspace-isolated persistent memory server combining ChromaDB vector search and tree-sitter code indexing, with cost-optimized routing between local… | 35 stars · 2 forks | No one-command install · Source | |
| 52 | 76.751 | tabularagmcp · search | Enables AI assistants to query tabular data (CSV/TSV) using natural language with cell-level citations, supporting multi-tenant workspaces, access… | 27 stars · 3 forks | No one-command install · Source | |
| 53 | 76.745 | contextcoremcp · search | A local-first MCP server that indexes all your local files (text, code, images, audio, video) and provides hybrid search (BM25+embeddings) to retrieve… | 23 stars · 4 forks | No one-command install · Source | |
| 54 | 75.782 | ollama-deep-researchermcp · search | Leverage Ollama as your LLM, and Tavily or Perplexity to do your deep web research | 16 stars · 7 forks | No one-command install · Source | |
| 55 | 74.139 | searxng-mcpmcp · search | MCP server for private web search via self-hosted SearXNG with local reranking, full-page content fetching via Firecrawl, and optional Ollama-powered… | 20 stars · 3 forks | No one-command install · Source | |
| 56 | 72.722 | codegrok-mcpmcp · search | Enables semantic code search for AI assistants by indexing codebases with embeddings and Tree-sitter, returning relevant snippets via natural language… | 15 stars · 4 forks | No one-command install · Source | |
| 56 | 72.722 | codebase-rag-mcp-servermcp · search | Enables AI agents to chat with codebases by indexing local directories or GitHub repositories into a vector database for semantic search and code… | 15 stars · 4 forks | No one-command install · Source | |
| 58 | 72.702 | kenmcp · search | Fast hybrid code search for agents. Pure Go, single static binary, BM25 lexical + Model2Vec semantic embeddings + RRF fusion + a code-aware reranker… | 30 stars · 1 fork | No one-command install · Source | |
| 59 | 71.864 | ngotaico-codebase-indexmcp · search | Indexes codebases using Qdrant vector storage and Google Gemini embeddings to provide semantic search capabilities over code with intelligent… | 19 stars · 2 forks | No one-command install · Source | |
| 60 | 70.564 | m-gonzalo-cosa-saimcp · search | Loads entire documentation sets directly into Gemini's 2M token context window, eliminating traditional RAG limitations for comprehensive technology… | 14 stars · 3 forks | No one-command install · Source | |
| 61 | 70.534 | hoxcoremcp · search | Enables LLMs to manage organizational metadata (projects, missions, activities, programs) via a file-based registry, providing CRUD operations and… | 4 stars · 8 forks | No one-command install · Source | |
| 62 | 69.545 | hzyai-ragscoremcp · search | Generate QA datasets and evaluate RAG systems with privacy-first local processing and any LLM provider. | 15 stars · 2 forks | No one-command install · Source | |
| 63 | 69.255 | gh-ptobey-local-memorymcp · search | Provides local-first personal RAG memory with versioned text chunks stored in ChromaDB. | 10 stars · 5 forks | No one-command install · Source | |
| 64 | 69.000 | dan8oren-mcp-apple-notesmcp · search | Semantic search and RAG over Apple Notes with on-device embeddings, full CRUD, folder management, and fuzzy title matching. 10 tools. Runs fully… | 12 stars · 3 forks | No one-command install · Source | |
| 64 | 69.000 | jerpint-paperpalmcp · search | Connects LLMs to academic research sources for semantic paper searches and detailed information retrieval from arXiv and Hugging Face, enabling… | 12 stars · 3 forks | No one-command install · Source | |
| 66 | 68.220 | tom-semple-apple-notesmcp · search | Integrates with Apple Notes to enable listing, searching, creating, and indexing notes using vector and full-text search, leveraging LanceDB and… | 10 stars · 4 forks | No one-command install · Source | |
| 67 | 66.893 | anuragb7-multi-document-ragmcp · search | Enables document processing with OCR, vector embeddings, and semantic search capabilities for efficient retrieval-augmented generation across multiple… | 10 stars · 3 forks | No one-command install · Source | |
| 68 | 66.258 | llm-jukeboxmcp · search | Integrates with YouTube and yt-dlp to search, download, and play music with MP3 conversion, local library management, and basic playback controls for… | 8 stars · 5 forks | No one-command install · Source | |
| 69 | 65.698 | istefox-devonthinkmcp · search | MCP server for DEVONthink 4 enabling AI assistants to search, retrieve, file, and batch-process documents with vector-based RAG search. | 14 stars · 1 fork | No one-command install · Source | |
| 70 | 65.543 | ccam80-zotero-chunk-ragmcp · search | Enables semantic search over Zotero research libraries by extracting and chunking PDF text, embedding with Gemini API, and storing in ChromaDB to find… | 9 stars · 3 forks | No one-command install · Source | |
| 70 | 65.543 | amotivv-memory-boxmcp · search | Integrates with Memory Box to provide persistent, context-aware interactions through semantic memory storage and retrieval using vector embeddings and… | 9 stars · 3 forks | No one-command install · Source | |
| 72 | 64.619 | kalicyh-ragmcp · search | Provides cloud-based document management and semantic search using OpenAI embeddings with in-memory vector storage, enabling retrieval-augmented… | 6 stars · 5 forks | No one-command install · Source | |
| 73 | 63.896 | luoyonghao1997-uvm-source-codemcp · search | Provides semantic search and exploration of UVM 1.2 SystemVerilog source code through locally-hosted embeddings and ChromaDB indexing. | 8 stars · 3 forks | No one-command install · Source | |
| 74 | 63.694 | chronicle-betamcp · search | A local-first personal RAG memory system that turns AI conversation history into a searchable, retrievable knowledge base via MCP, enabling LLMs to… | 9 stars · 2 forks | No one-command install · Source | |
| 74 | 63.694 | arborist-claudehoppermcp · search | Integrates with Claude Desktop to analyze construction documents, enabling semantic search across architectural drawings and specifications through… | 9 stars · 2 forks | No one-command install · Source | |
| 76 | 63.439 | gh-tejzpr-smritimcp · search | Graph-based AI memory system using EcphoryRAG retrieval and Leiden clustering for persistent, human-like memory recall. | 7 stars · 4 forks | No one-command install · Source | |
| 77 | 63.155 | haseebkhalid1507-velociragmcp · search | Lightning-fast RAG engine with four-layer retrieval fusion powered by ONNX Runtime for sub-200ms search without PyTorch. | 11 stars · 1 fork | No one-command install · Source | |
| 78 | 62.111 | yumeiriowl-repo-graphragmcp · search | Uses LightRAG and Tree-sitter to build a repository knowledge graph from code and docs, for Q&A and implementation planning. | 7 stars · 3 forks | No one-command install · Source | |
| 79 | 62.046 | di5rupt0r-codebase-ragmcp · search | Self-hosted semantic code search over local codebases using ChromaDB and sentence-transformer embeddings with hybrid keyword reranking. | 8 stars · 2 forks | No one-command install · Source | |
| 80 | 61.768 | atom-pricing-intelligencemcp · search | ATOM is the Global Price Benchmark for AI Inference, delivered as a native tool for AI agents. Query live pricing across the inference market through… | 4,780 installs | No commit datelisted | No one-command install · Source |
| 81 | 60.677 | lightrag-mcp-servermcp · search | Enables AI assistants to manage documents, query knowledge graphs, and perform retrieval-augmented generation using LightRAG with 30 tools and… | 9 stars · 1 fork | No one-command install · Source | |
| 82 | 60.262 | jacquesbh-memexmcp · search | Manages a local knowledge base of technical guides and AI contexts using vector embeddings for semantic search, enabling storage, retrieval, and… | 7 stars · 2 forks | No one-command install · Source | |
| 82 | 60.262 | qdrant-neo4j-crawl4ai-mcp-servermcp · search | Enables autonomous orchestration of vector search, knowledge graph queries, and web crawling through a single MCP interface, providing agentic RAG… | 7 stars · 2 forks | No one-command install · Source | |
| 84 | 57.754 | agent-searchmcp · search | A self-hosted, MCP-native web-search backend for AI agents that provides meta-search, clean extraction, RAG with citations, and GitHub project… | 3 stars · 4 forks | No one-command install · Source | |
| 85 | 55.515 | mpnikhil-lenny-ragmcp · search | Semantic search over Lenny Rachitsky's podcast transcripts using ChromaDB and BGE embeddings for product strategy insights. | 5 stars · 2 forks | No one-command install · Source | |
| 86 | 55.168 | strand-ai-paper-intelligencemcp · search | Converts PDFs into searchable markdown with local embeddings for semantic search, enabling efficient document retrieval without loading entire papers… | 6 stars · 1 fork | No one-command install · Source | |
| 86 | 55.168 | derberg-opencranemcp · search | Extensible RAG library for building AI-powered documentation search with semantic search, keyword matching, and hybrid retrieval. | 6 stars · 1 fork | No one-command install · Source | |
| 86 | 55.168 | irahulstomar-brainmcp · search | Manages a local Markdown notes knowledge base with hybrid search using Ollama and Chroma. | 6 stars · 1 fork | No one-command install · Source | |
| 89 | 53.985 | kimdonghwi94-web-analyzer-mcpmcp · search | Extracts clean web content for RAG and provides Q&A about web pages. | 4 stars · 3 forks | No one-command install · Source | |
| 89 | 53.985 | knowflow-mcpmcp · search | A unified knowledge retrieval tool for MCP-compatible LLMs, enabling structured external knowledge access from local files and future integrations. | 4 stars · 3 forks | No one-command install · Source | |
| 91 | 53.186 | aiwiki-mcpmcp · search | Search and read AiWiki — an encyclopedia of AI-coding pitfalls and LLM privacy protection written from the AI's first-person perspective. 120+… | 8 stars | No one-command install · Source | |
| 91 | 53.186 | ai-odoofindermcp · search | Enables LLMs to search Odoo modules in OCA repositories using hybrid search (semantic + full-text) for finding the perfect module quickly. | 8 stars | No one-command install · Source | |
| 93 | 52.498 | opcua-mcpmcp · search | Enables LLMs to read, write, browse, search, and subscribe to live data on OPC-UA industrial automation servers, with caching, discovery index, and… | 5 stars · 1 fork | No one-command install · Source | |
| 94 | 52.135 | hanselhansel-aeo-climcp · search | Audit URLs for AI crawler readiness — checks robots.txt, llms.txt, JSON-LD schema, and content density with 0-100 AEO scoring. | 4 stars · 2 forks | No one-command install · Source | |
| 94 | 52.135 | ptc-mcp-integration-servermcp · search | Integrates PTC Windchill and Creo Parametric with LLM-based clients via the Model Context Protocol, enabling natural language interaction with PLM and… | 4 stars · 2 forks | No one-command install · Source | |
| 94 | 52.135 | mle-kit-mcpmcp · search | Provides ML engineering tools including local/remote bash, text editor, file search, remote GPU helpers via vast.ai, and an OpenRouter LLM proxy. | 4 stars · 2 forks | No one-command install · Source | |
| 94 | 52.135 | j5ik2o-shared-knowledge-ragmcp · search | Enables AI systems to access and retrieve information from multiple vector store backends including HNSWLib and Weaviate, providing a unified… | 4 stars · 2 forks | No one-command install · Source | |
| 98 | 51.401 | bettyguo-seekqmcp · search | Semantic code search tool for local codebases using BGE-Small embeddings, tree-sitter-aware chunking, and hybrid BM25 retrieval via MCP. | 7 stars | No commit datelisted | No one-command install · Source |
| 99 | 50.895 | guerinjeanmarc-neo4j-graphragmcp · searchalso listed as neo4j-graphrag-mcp-server | Combines vector similarity search, fulltext search, and search-augmented Cypher queries with automatic data sanitization and token-aware response… | 2 stars · 3 forks | 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.