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 | 99.397 | skill-seekers-skill-seekersmcp · database | Transform 17 source types (docs, GitHub repos, PDFs, videos, Jupyter, Confluence, Notion, Slack/Discord) into AI-ready skills and RAG knowledge. 35… | 14,879 stars · 1,516 forks | No one-command install · Source | |
| 2 | 99.277 | zilliz-claude-contextmcp · database | Provides semantic code search and indexing using vector embeddings and AST-based code splitting, enabling natural language queries across codebases… | 12,463 stars · 917 forks | No one-command install · Source | |
| 3 | 98.969 | byterover-ciphermcp · database | Memory-powered agent framework that provides persistent memory capabilities across conversations and sessions using vector databases and embeddings… | 4,966 stars · 454 forks | No one-command install · Source | |
| 4 | 97.314 | rahilp-second-brainmcp · database | Self-hosted semantic memory MCP server on Cloudflare Workers with vector embeddings for intelligent recall and 4 tools for personal knowledge… | 737 stars · 102 forks | No one-command install · Source | |
| 5 | 97.218 | context-portalmcp · database | Database-backed project memory management system that stores decisions, progress tracking, and system patterns in a queryable knowledge graph with… | 765 stars · 78 forks | No one-command install · Source | |
| 6 | 97.158 | chromamcp · database | Integrates with Chroma vector database to enable collection management, document operations, and vector search capabilities for knowledge bases and… | 588 stars · 118 forks | No one-command install · Source | |
| 7 | 96.674 | mx-iris-ida-promcp · database | Enables programmatic reading and searching of IDA Pro databases via large language models, providing tools for reverse engineering and binary analysis… | 547 stars · 59 forks | No one-command install · Source | |
| 8 | 95.526 | zilliz-milvusmcp · database | Integrates with Milvus vector database to enable vector search, full-text search, and hybrid queries for semantic search and knowledge retrieval… | 243 stars · 70 forks | No one-command install · Source | |
| 9 | 94.630 | abhigyan-shekhar-waggle-mcpmcp · database | Persistent graph memory for AI agents. Drop a conversation turn in via `observe_conversation()` and facts are auto-extracted, stored as typed graph… | 39 stars · 138 forks | No one-command install · Source | |
| 10 | 94.569 | claude-context-localmcp · database | Provides local semantic code search using EmbeddingGemma embeddings and FAISS vector indexing with intelligent AST chunking for Python, JavaScript… | 236 stars · 30 forks | No one-command install · Source | |
| 11 | 94.255 | omar-haris-smart-codingmcp · database | Semantic code search using local AI embeddings for intelligent code discovery. | 200 stars · 32 forks | No one-command install · Source | |
| 12 | 93.571 | elonjask-reqablemcp · database | Captures and analyzes HTTP and WebSocket traffic from Reqable proxy with local SQLite storage, domain statistics, API shape inference, and code… | 238 stars · 17 forks | No one-command install · Source | |
| 13 | 93.460 | sirmews-pineconemcp · database | Leverage Pinecone vector databases for semantic search and RAG. | 150 stars · 33 forks | No one-command install · Source | |
| 14 | 91.633 | kuzumcp · database | Bridge to Kuzu graph databases. Enables LLMs to inspect database schemas and execute queries. | 42 stars · 42 forks | No one-command install · Source | |
| 15 | 91.336 | neo4j-gdsmcp · database | Enables LLMs to run complex graph algorithms on Neo4j databases, answering graph-related questions by selecting and executing appropriate… | 96 stars · 22 forks | No one-command install · Source | |
| 16 | 91.269 | aivectormemorymcp · database | MCP server that provides cross-session persistent memory for AI coding assistants using local vector database and semantic search, enabling automatic… | 91 stars · 24 forks | No one-command install · Source | |
| 17 | 91.051 | keboolamcp · database | An open-source bridge between your Keboola project and modern AI tools. It turns Keboola features - like storage access, SQL transformations, and job… | 86 stars · 24 forks | No one-command install · Source | |
| 18 | 89.897 | pinecone-vector-databasemcp · database | Develop with Pinecone, the vector database built for knowledgeable AI. | 71 stars · 21 forks | No one-command install · Source | |
| 19 | 89.698 | sanity-io-sanity-cmsmcp · database | Integrates with Sanity CMS to enable direct content creation, querying, and management through specialized tools for documents, datasets, schemas… | 71 stars · 19 forks | No one-command install · Source | |
| 20 | 89.647 | hatri-hana-cloud-ml-bridgemcp · database | Bridges SAP HANA Cloud databases with machine learning operations through a three-layer architecture that enables model management, execution… | 64 stars · 25 forks | No one-command install · Source | |
| 21 | 89.231 | quick-mcp-examplemcp · database | Demonstrates an MCP server with tools, resources, and prompts for a knowledgebase chatbot that queries a ChromaDB vector database for RAG responses. | 62 stars · 22 forks | No one-command install · Source | |
| 22 | 88.517 | mhalder-qdrantmcp · database | Provides semantic search capabilities using a local Qdrant vector database and OpenAI embeddings for building private knowledge bases and document… | 37 stars · 25 forks | No one-command install · Source | |
| 23 | 88.471 | rileylemm-graphragmcp · database | Combines Neo4j graph database and Qdrant vector database for powerful document search with semantic relevance and structural context expansion through… | 64 stars · 14 forks | No one-command install · Source | |
| 24 | 88.441 | robdodson-ollama-postgresqlmcp · database | Integrates natural language querying with PostgreSQL databases to enable AI-interpreted data analysis without manual SQL writing. | 62 stars · 15 forks | No one-command install · Source | |
| 25 | 87.358 | srclight-srclightmcp · database | Deep code indexing MCP server with SQLite FTS5, tree-sitter, and embeddings. 29 tools for symbol search, call graphs, git intelligence, and hybrid… | 57 stars · 12 forks | No one-command install · Source | |
| 26 | 86.337 | alizdavoodi-mcpdocsearchmcp · database | Crawls websites to generate searchable Markdown documentation with vector embeddings for semantic search capabilities beyond training cutoffs | 42 stars · 17 forks | No one-command install · Source | |
| 27 | 85.815 | ichigo3766-stable-diffusionmcp · database | Integrates with Stable Diffusion WebUI to provide text-to-image generation with extensive parameter control and metadata embedding | 43 stars · 13 forks | No one-command install · Source | |
| 28 | 84.405 | visactor-vchartmcp · database | Generates interactive charts and visualizations using the VChart library, supporting over 15 chart types from basic line and bar charts to specialized… | 52 stars · 6 forks | No one-command install · Source | |
| 29 | 84.122 | lishenxydlgzs-simple-files-vectorstoremcp · database | Provides semantic search capabilities for local files and directories using vector embeddings and efficient storage techniques. | 42 stars · 8 forks | No one-command install · Source | |
| 30 | 84.035 | smart-thinkingmcp · database | Enables intelligent decision-making through semantic embeddings and thought graphs with built-in verification states and memory-based reasoning… | 34 stars · 12 forks | No one-command install · Source | |
| 31 | 83.817 | nonatofabio-local-faissmcp · database | Local vector database using FAISS for semantic search and document retrieval | 33 stars · 12 forks | No one-command install · Source | |
| 32 | 83.715 | prisma-mcpmcp · database | Gives LLMs the ability to manage Prisma Postgres databases (e.g. spin up new databases and run migrations or queries). | 47 stars · 6 forks | No one-command install · Source | |
| 33 | 83.288 | zxfgds-code-indexermcp · database | Indexes and retrieves code snippets using embedding models and vector databases, enabling efficient code search and analysis for software development… | 33 stars · 10 forks | No one-command install · Source | |
| 34 | 82.739 | rekalmcp · database | Provides long-term memory for LLMs via local SQLite storage with hybrid search (BM25, vectors, recency decay), enabling AI coding agents to persist… | 53 stars · 4 forks | No one-command install · Source | |
| 35 | 82.544 | jonnoc-coderagmcp · database | Parses TypeScript, JavaScript, Java, and Python codebases into a Neo4J graph database to extract code entities, relationships, and metadata, enabling… | 27 stars · 13 forks | No one-command install · Source | |
| 36 | 81.774 | dense-memmcp · database | About Self-hosted AI agent memory server with MCP, evidence provenance, typed claims, conflict detection, embeddings, recall, PostgreSQL, and Neo4j. | 39 stars · 5 forks | No one-command install · Source | |
| 37 | 81.387 | davidvc-code-knowledge-embeddingsmcp · database | A knowledge management tool for code repositories using vector embeddings. | 24 stars · 12 forks | No one-command install · Source | |
| 38 | 81.125 | jean-technologies-writer-blog-searchmcp · database | Connect to your Substack/Medium blogs via their RSS feeds, fetches your posts, and permanently caches them locally. It also generates embeddings for… | 32 stars · 6 forks | No one-command install · Source | |
| 39 | 80.050 | allenday-solr-vector-searchmcp · database | Bridges Apache Solr search indexes with vector embeddings for hybrid keyword and semantic document retrieval, enabling contextual searches against… | 20 stars · 11 forks | No one-command install · Source | |
| 40 | 79.537 | lethienhoavn-auto-causal-inferencemcp · database | Automates causal inference analysis on SQLite banking data by using LLM-guided variable classification to generate causal graphs and estimate Average… | 24 stars · 7 forks | No one-command install · Source | |
| 41 | 78.177 | n3momcp · database | Deterministic code intelligence engine — indexes 27 languages into a queryable symbol graph for real-time blast-radius analysis, no embeddings or LLM… | 24 stars · 5 forks | No one-command install · Source | |
| 42 | 77.014 | longevity-genie-opengenesmcp · database | Provides access to the OpenGenes database containing aging and longevity research data including experimental lifespan results from genetic… | 21 stars · 5 forks | No one-command install · Source | |
| 43 | 76.745 | milkymap-pulsarmcp · database | Semantic router that enables intelligent tool discovery and execution across multiple MCP servers using embeddings and vector search to eliminate… | 23 stars · 4 forks | No one-command install · Source | |
| 44 | 75.782 | analyticdb-postgresql-mcp-servermcp · database | Serves as a universal interface between AI Agents and AnalyticDB PostgreSQL databases, enabling metadata retrieval and SQL execution, with additional… | 16 stars · 7 forks | No one-command install · Source | |
| 45 | 75.467 | davanstrien-huggingface-hub-searchmcp · database | Provides semantic search capabilities for Hugging Face models and datasets using vector embeddings to find resources through natural language… | 20 stars · 4 forks | No one-command install · Source | |
| 46 | 73.966 | context-lensmcp · database | An MCP server that enables semantic search over local files or GitHub repositories by indexing content into a serverless vector database, allowing AI… | 24 stars · 2 forks | No one-command install · Source | |
| 47 | 73.713 | codeseekermcp · database | Four-layer hybrid search and knowledge graph for AI coding assistants: BM25 + vector embeddings + RAPTOR directory summaries + graph expansion fused… | 19 stars · 3 forks | No one-command install · Source | |
| 48 | 73.568 | celiums-celiums-memorymcp · database | Cognitive memory engine with 5,100+ knowledge modules, circadian rhythm awareness, and emotional state tracking (PAD model). Hybrid search (PostgreSQL… | 23 stars · 2 forks | armory install celiums-celiums-memory --cli claude | |
| 49 | 73.182 | mcp-rag-localmcp · database | Enables storing and retrieving text passages based on semantic meaning using local embeddings (Ollama) and vector storage (ChromaDB), allowing… | 18 stars · 3 forks | No one-command install · Source | |
| 50 | 72.926 | david-franz-ctx-sysmcp · database | Knowledge graphs from codebases using AST parsing and semantic embeddings with vector, graph, and full-text search. | 14 stars · 5 forks | No one-command install · Source | |
| 51 | 72.565 | localmem-mcpmcp · database | Gives AI agents persistent, local-first memory using SQLite and on-device embeddings, enabling semantic search and recall across sessions with no… | 7 stars · 8 forks | No one-command install · Source | |
| 52 | 72.060 | besslframework-stack-tesseramcp · database | Transforms workspace documents into a searchable vector database using LanceDB and FastEmbed with hybrid search, version-aware ranking, and… | 16 stars · 3 forks | No one-command install · Source | |
| 53 | 71.394 | vector-mcpmcp · database | A production-grade MCP server for integrating RAG into AI agents, supporting multiple vector databases with enterprise security and dynamic tool… | 15 stars · 3 forks | No one-command install · Source | |
| 53 | 71.394 | tristan-mcinnis-semantic-memorymcp · database | Provides persistent semantic memory capabilities through PostgreSQL with pgvector embeddings, enabling project-based memory namespacing, semantic… | 15 stars · 3 forks | No one-command install · Source | |
| 55 | 71.363 | chromadb-remote-mcp-servermcp · databasealso listed as meloncafe-chromadb-remote | A Streamable HTTP MCP server that provides remote access to ChromaDB for AI assistants like Claude. Enables semantic search and vector database… | 12 stars · 5 forks | No one-command install · Source | |
| 55 | 71.363 | rebots-online-chat-analysismcp · database | Integrates vector embeddings and knowledge graphs to enable advanced chat analysis tasks like topic modeling, sentiment analysis, and user behavior… | 12 stars · 5 forks | No one-command install · Source | |
| 58 | 70.328 | iachilles-mementomcp · database | Provides persistent memory capabilities through a SQLite-based knowledge graph that stores entities, observations, and relationships with full-text… | 12 stars · 4 forks | No one-command install · Source | |
| 59 | 69.545 | swih-mistralmcp · database | Access Mistral AI models for chat, embeddings, vision, audio, and OCR via MCP. | 15 stars · 2 forks | No one-command install · Source | |
| 60 | 68.715 | gurr-i-geminimcp · database | Integrates with Google's Gemini AI models including the 2.5 series with thinking capabilities, vision models, and embedding generation, featuring JSON… | 14 stars · 2 forks | No one-command install · Source | |
| 60 | 68.715 | codecompassmcp · database | Helps developers tackle legacy codebases by giving AI coding assistants context through Qdrant vector store and Agentic RAG with Ollama or DeepSeek. | 14 stars · 2 forks | No one-command install · Source | |
| 62 | 68.063 | amansingh0311-qdrant-openai-embeddingsmcp · database | Connects AI systems to Qdrant vector databases for semantic search using OpenAI embeddings, enabling contextual document retrieval and knowledge base… | 7 stars · 6 forks | No one-command install · Source | |
| 62 | 68.063 | ryanlisse-lancedbmcp · database | Integrates with LanceDB vector database to enable efficient storage, retrieval, and similarity search of vector embeddings with associated metadata… | 7 stars · 6 forks | No one-command install · Source | |
| 64 | 68.021 | artk0de-tearagsmcp · database | Provides semantic code search across large codebases using vector embeddings and AST-aware chunking with git metadata integration for intelligent code… | 11 stars · 3 forks | No one-command install · Source | |
| 65 | 67.193 | allentcm-codebase-ragmcp · database | Provides semantic codebase search and file retrieval using CocoIndex embeddings and PostgreSQL with pgvector for similarity search, enabling natural… | 16 stars · 1 fork | No one-command install · Source | |
| 66 | 66.258 | crawl4ai-rag-mcp-servermcp · database | An MCP server that integrates Crawl4AI with Supabase to enable AI agents to crawl websites, store content in a vector database, and perform RAG… | 8 stars · 5 forks | No one-command install · Source | |
| 67 | 66.172 | corebasehq-coremcpmcp · database | A secure, tunnel-native database bridge for AI agents. Connects localhost & on-premise databases (MSSQL, etc.) to LLMs with AST-based query safety and… | 11 stars · 2 forks | No one-command install · Source | |
| 68 | 65.543 | doris-mcp-servermcp · database | Enables natural language querying of Apache Doris databases via LLM-powered SQL generation, execution, and metadata management through the MCP… | 9 stars · 3 forks | No one-command install · Source | |
| 69 | 64.294 | mementomcp · database | Local-first, LLM-agnostic memory layer for AI assistants using a local SQLite database. | 22 stars | No one-command install · Source | |
| 70 | 63.952 | kashiwabyte-vikingdb-mcp-servermcp · database | Store and search data using VikingDB vector database. | 5 stars · 5 forks | No one-command install · Source | |
| 71 | 63.694 | coldstartmcp · database | coldstart gives coding agents durable memory of a specific codebase, with no embeddings, no vector store, and no API key. Agents write notes after… | 9 stars · 2 forks | No one-command install · Source | |
| 71 | 63.694 | iamvirul-vecgrepmcp · database | Semantic code search plugin for Claude Code using tree-sitter parsing and vector embeddings with local or cloud providers. | 9 stars · 2 forks | No one-command install · Source | |
| 71 | 63.694 | jonfreeland-mongodbmcp · database | Enables querying and analyzing MongoDB databases with read-only access, providing operations for exploration, schema inference, querying, aggregation… | 9 stars · 2 forks | No one-command install · Source | |
| 71 | 63.694 | mcp-lance-dbmcp · database | Enables storing and retrieving semantic memories using LanceDB vector database, with tools to add memories and search by similarity. | 9 stars · 2 forks | No one-command install · Source | |
| 75 | 63.107 | wrediam-better-qdrantmcp · database | Connects AI systems to Qdrant vector database for semantic search capabilities through multiple embedding services, enabling efficient document… | 4 stars · 5 forks | No one-command install · Source | |
| 76 | 62.111 | randomm-files-dbmcp · database | Provides a local vector database system for semantic code search with zero-configuration setup, real-time file monitoring, and incremental indexing to… | 7 stars · 3 forks | No one-command install · Source | |
| 77 | 62.046 | jddunn-tenetsmcp · database | Local-first code context aggregation using BM25, TF-IDF, and embeddings with automatic injection of project principles | 8 stars · 2 forks | No one-command install · Source | |
| 77 | 62.046 | milvus-mcp-servermcp · database | Enables LLMs to interact with Milvus vector database for search, query, and collection management operations. | 8 stars · 2 forks | No one-command install · Source | |
| 79 | 61.350 | 3gpp-mcpmcp · database | MCP server that parses 3GPP .docx specifications into structured sections with full-text search, letting LLMs browse, search, and follow… | 16 stars | No one-command install · Source | |
| 80 | 60.677 | faxioman-code-sagemcp · database | Provides high-performance semantic code search combining BM25 keyword search with vector embeddings and RRF reranking, using AST-based chunking to… | 9 stars · 1 fork | No one-command install · Source | |
| 80 | 60.677 | mcp-qdrant-semantic-searchmcp · database | Enables Claude to store and retrieve information with semantic search using Qdrant vector database, providing persistent memory for conversations… | 9 stars · 1 fork | No one-command install · Source | |
| 80 | 60.677 | slunk-slack-searchmcp · database | Captures and indexes Slack conversations in real-time using accessibility APIs and provides intelligent search capabilities including natural language… | 9 stars · 1 fork | No one-command install · Source | |
| 83 | 60.262 | niksh06-rag-duckdbmcp · database | Provides document processing and retrieval-augmented generation capabilities using DuckDB as the vector database backend, featuring intelligent… | 7 stars · 2 forks | No one-command install · Source | |
| 83 | 60.262 | weverkley-qdrant-ragmcp · database | Real-time semantic RAG over codebases by monitoring file changes, indexing with Ollama embeddings, and storing vectors in Qdrant. | 7 stars · 2 forks | No one-command install · Source | |
| 85 | 58.969 | identimoji-emojikeymcp · database | Integrates with Supabase to persist and retrieve LLM interaction styles using emojikeys, enabling consistent personalized experiences across… | 4 stars · 4 forks | No one-command install · Source | |
| 86 | 58.185 | local-env-mcpmcp · database | Exposes your local machine's filesystem, git, shell, network, databases, and system to any MCP-compatible LLM client over HTTP. | 6 stars · 2 forks | No one-command install · Source | |
| 87 | 57.311 | vector-mcp-2mcp · database | Integrates RAG into AI agents via MCP Server, supporting multiple vector database technologies for collection management and search operations. | 11 stars | No one-command install · Source | |
| 88 | 57.245 | vectorsmithmcp · database | Turns a tools.yaml contract into typed, tenant-guarded vector database tools that agents can use via Python imports or MCP. | 7 stars · 1 fork | No one-command install · Source | |
| 89 | 55.515 | duonglabs-codeintelmcp · database | AI-powered semantic code search using vector embeddings for contextual code loading. | 5 stars · 2 forks | No one-command install · Source | |
| 89 | 55.515 | semantic-search-mcpmcp · database | Provides semantic code search over codebases using local embeddings with natural language queries. Supports hybrid search, file watching, and respects… | 5 stars · 2 forks | No one-command install · Source | |
| 89 | 55.515 | kipsmcp · database | Personal data management MCP server that stores and queries notes, tasks, conversations, and auth in SQLite, enabling LLMs to interact with the… | 5 stars · 2 forks | No one-command install · Source | |
| 92 | 55.168 | code-flowmcp · database | Provides semantic code analysis and search capabilities for Python codebases through AST extraction, call graph generation, and vector embeddings… | 6 stars · 1 fork | No one-command install · Source | |
| 93 | 54.833 | zvec-mcp-bridgemcp · database | Indexes project source files into a local Zvec vector database and provides semantic search through MCP tools, enabling natural-language queries over… | 9 stars | No one-command install · Source | |
| 94 | 53.985 | spences10-embedding-searchmcp · database | Provides embedding search capabilities for transcripts using a SQLite database, enabling efficient semantic retrieval of relevant text segments for… | 4 stars · 3 forks | No one-command install · Source | |
| 94 | 53.985 | nsantra-rag-document-searchmcp · database | Provides document embedding, semantic search, and citation generation using ChromaDB vector storage with PDF ingestion, configurable chunking… | 4 stars · 3 forks | No one-command install · Source | |
| 94 | 53.985 | cappahccino-supabasemcp · database | Enables Claude and other LLMs to interact with Supabase databases and Edge Functions through a secure API for performing CRUD operations and invoking… | 4 stars · 3 forks | No one-command install · Source | |
| 97 | 53.186 | wikimoth-mcp-servermcp · database | Enables deterministic, token-minimal multi-hop retrieval from a vault of [[wikilink]] notes via the Model Context Protocol, allowing LLMs to answer… | 8 stars | No one-command install · Source | |
| 97 | 53.186 | skill-searchmcp · database | Semantic, on-demand skill retrieval for Claude Code that saves tokens and improves skill discovery by replacing the native skill listing with vector… | 8 stars | No one-command install · Source | |
| 99 | 52.498 | mcp-itgluemcp · database | Connects AI assistants to IT Glue, the MSP documentation platform. Browse organizations, read and write documents and flexible assets, and answer… | 5 stars · 1 fork | No one-command install · Source | |
| 99 | 52.498 | mirrdhyn-code-ragmcp · database | Provides semantic code search and similarity matching using vector embeddings and Qdrant database integration with support for multiple programming… | 5 stars · 1 fork | 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.