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 | Unranked | turbovec-mcpmcp · database | Enables local semantic code search using compressed vectors from turbovec and any OpenAI-compatible embeddings endpoint. | No signals yet | No one-command install · Source | |
| 302 | Unranked | imdb-mcpmcp · database | Enables semantic and similarity search across IMDB movie data using vector embeddings and PostgreSQL with pgvector, supporting traditional filters and… | No signals yet | No one-command install · Source | |
| 303 | Unranked | myaitwinmcp · database | Build a personal RAG database from your chats so AI generates content that matches your voice and style. | No signals yet | No one-command install · Source | |
| 304 | Unranked | grepsensemcp · database | Provides two-modal code search (lexical via Zoekt and semantic via ChromaDB embeddings) for AI coding agents through MCP tools, enabling fast regex… | No signals yet | No one-command install · Source | |
| 305 | Unranked | robotws-mcp-servermcp · database | Indexes Robot Framework and Python files from robotws, stores metadata in SQLite, and provides generation context to help Cursor's LLM draft testcases… | No signals yet | No one-command install · Source | |
| 306 | Unranked | mybrainmcp · database | A personal knowledge base MCP server with semantic search, storing thoughts in PostgreSQL with pgvector embeddings and providing 8 tools for capture… | No signals yet | No one-command install · Source | |
| 307 | Unranked | jpnqs-team-docsmcp · database | MCP server for semantic search over team documentation using local embeddings and vector similarity search. | No signals yet | No one-command install · Source | |
| 308 | Unranked | mcp-mysql-connectormcp · database | Enables LLM agents to interact with MySQL databases through tools for querying, schema management, user administration, and transaction control. | No signals yet | No one-command install · Source | |
| 309 | Unranked | lucyomgggg-telosmcp · database | Telos Core vector database integration for shared AI agent memory. | No signals yet | No one-command install · Source | |
| 310 | Unranked | mcp-page-monitormcp · database | Enables monitoring web pages for changes using Playwright, storing snapshots in SQLite, and optionally analyzing changes with an LLM for business… | No signals yet | No one-command install · Source | |
| 311 | Unranked | expertvagabond-volcenginemcp · database | Text generation, chat, and embeddings via ByteDance Volcano Engine Doubao models. | No signals yet | No one-command install · Source | |
| 312 | Unranked | code-vector-syncmcp · database | Enables semantic code search over a local codebase using Qdrant vector embeddings and OpenAI embeddings, allowing natural language queries from… | No signals yet | No one-command install · Source | |
| 313 | Unranked | pavelguzenfeld-media-forgemcp · database | Generates diagrams, charts, HTML pages, and slide decks from text DSLs for embedding in Markdown documentation. | No signals yet | No one-command install · Source | |
| 314 | Unranked | memory-mcp-cemcp · database | Persistent semantic memory for AI agents using PostgreSQL and vector embeddings, enabling cross-session continuity and semantic search. | No signals yet | No one-command install · Source | |
| 315 | Unranked | mcp-crawl4ai2vectordbmcp · database | MCP server for crawling web documentation and storing it in a Supabase vector database. | No signals yet | No one-command install · Source | |
| 316 | Unranked | ollqdmcp · database | Enables indexing and semantic search of codebases and documents via MCP, using Ollama embeddings and Qdrant vector store. | No signals yet | No one-command install · Source | |
| 317 | Unranked | pdf-rag-mcp-servermcp · database | A Model Context Protocol (MCP) server that provides powerful RAG (Retrieval-Augmented Generation) capabilities for PDF documents. This server uses… | No signals yet | No one-command install · Source | |
| 318 | Unranked | vercel-mcp-memorymcp · database | Enables semantic memory storage and retrieval with natural language queries, deployed on Vercel with PostgreSQL pgvector and OpenAI embeddings. | No signals yet | No one-command install · Source | |
| 319 | Unranked | codebrain-mcp-servermcp · database | Enables semantic code search across codebases using AI embeddings and vector similarity, integrated with Claude Desktop and Cursor. | No signals yet | No one-command install · Source | |
| 320 | Unranked | context-portal-mcp-conportmcp · database | A database-backed MCP server that acts as a project memory bank, enabling AI assistants to store, retrieve, and search structured context like… | No signals yet | No one-command install · Source | |
| 321 | Unranked | vikingdb-mcp-servermcp · database | Enables interaction with VikingDB, a high-performance vector database, for storing and searching vector data via natural language. | No signals yet | No one-command install · Source | |
| 322 | Unranked | hkc-memory-servermcp · database | An MCP server for managing persistent AI memory using hybrid search (keyword + semantic vector) with SQLite storage and offline-first local… | No signals yet | No one-command install · Source | |
| 323 | Unranked | knowledge-mgmtmcp · database | Enables uploading, organizing, and semantically searching documents with support for various file types and embedding providers. | No signals yet | No one-command install · Source | |
| 324 | Unranked | pgvector-mcp-servermcp · database | Enables AI assistants to manage vector collections and perform similarity search using PostgreSQL and pgvector, with integration to DashScope text… | No signals yet | No one-command install · Source | |
| 325 | Unranked | mariadb-mcpmcp · database | MCP server for interacting with MariaDB databases, supporting standard SQL operations and optional vector/embedding search. | No signals yet | No one-command install · Source | |
| 326 | Unranked | rag-database-with-model-context-protocol-mcp-servermcp · database | Enables AI assistants like Claude, ChatGPT, and Gemini to search and query local PDF documents using natural language through vector embeddings and… | No signals yet | No one-command install · Source | |
| 327 | Unranked | mxhero-mail2cloud-advancedmcp · database | Integrates with mxHERO's Mail2Cloud Advanced service to search across massive multi-account email repositories using vector database technology… | No signals yet | No one-command install · Source | |
| 328 | Unranked | universal-mcp-server-javamcp · database | A universal Model Context Protocol server in Java, enabling interaction with multiple LLMs (OpenAI, Gemini, Hugging Face) and databases (MongoDB)… | No signals yet | No one-command install · Source | |
| 329 | Unranked | qdrant-llamaindex-mcp-servermcp · database | An MCP server for querying and managing LlamaIndex documents stored in Qdrant vector databases, with automatic embedding model detection and extensive… | No signals yet | No one-command install · Source | |
| 330 | Unranked | bookmarkmemorymcp · database | Enables semantic search and retrieval of bookmarked URLs content using vector embeddings, with support for multiple backends and AI assistant… | No signals yet | No one-command install · Source | |
| 331 | Unranked | mcp-server-6mcp · database | An MCP server that integrates with LangChain and ChromaDB to provide documentation search for AI libraries and vector database management. | No signals yet | No one-command install · Source | |
| 332 | Unranked | mcp-server-duckdbmcp · database | Enables LLMs to interact with DuckDB databases through MCP tools for SQL queries, table management, data import/export, and schema inspection, with… | No signals yet | No one-command install · Source | |
| 333 | Unranked | jasonsmiff-albacoremcp · database | Lightweight TypeScript server with Ollama integration that enables local text generation, embedding services, and optional Supabase database support… | No signals yet | No one-command install · Source | |
| 334 | Unranked | gravityphone-grey-swan-llm-safetymcp · database | Provides a MongoDB-integrated platform for systematically documenting and analyzing AI safety challenges, tracking LLM vulnerabilities through… | No signals yet | No one-command install · Source | |
| 335 | Unranked | agent-memory-systemsskill · database | Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory… | No signals yet | No commit datelisted | armory install agent-memory-systems --cli claude |
| 336 | Unranked | agent-shared-memorymcp · database | Enables AI agents to share persistent memory via an MCP server using SQLite, supporting multi-tenant, categorized knowledge with TTL and semantic… | No signals yet | No commit datelisted | No one-command install · Source |
| 337 | Unranked | arcana-mcpmcp · database | Semantic vector DB as an MCP server for Claude Code — SQLite + FTS5 + local ONNX embeddings. Gives Claude persistent, searchable project knowledge… | No signals yet | No commit datelisted | No one-command install · Source |
| 338 | Unranked | capix-router-mcpmcp · database | Open-source routing layer that splits compute jobs and inference prompts across resources using Gemini, with MongoDB-backed route books and priced… | No signals yet | No commit datelisted | No one-command install · Source |
| 339 | Unranked | cartisien-engram-mcpmcp · database | Persistent semantic memory for AI agents. SQLite-backed, local-first, zero config. Semantic search via Ollama embeddings (nomic-embed-text) with… | No signals yet | No commit datelisted | No one-command install · Source |
| 340 | Unranked | chromaskill · database | Open-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple… | No signals yet | No commit datelisted | armory install chroma --cli claude |
| 341 | Unranked | cocoindexskill · database | Comprehensive toolkit for developing with the CocoIndex library. Use when users need to create data transformation pipelines (flows), write custom… | No signals yet | No commit datelisted | armory install cocoindex --cli claude |
| 342 | Unranked | confdbmcp · database | MCP server that provides read-only access to 1C:Enterprise configuration metadata extracted into SQLite, enabling LLMs to inspect objects, modules… | No signals yet | No commit datelisted | No one-command install · Source |
| 343 | Unranked | datrismcp · database | AI agent-native data platform for ingesting, validating, transforming, querying, and searching data across PostgreSQL, MongoDB, and vector databases. | No signals yet | No commit datelisted | No one-command install · Source |
| 344 | Unranked | elkalowkey885-gemini-embeddingmcp · database | Turns local files into searchable knowledge bases using Gemini embeddings and ChromaDB for semantic search. | No signals yet | No commit datelisted | No one-command install · Source |
| 345 | Unranked | generic-sql-mcp-servermcp · database | A configurable, database-agnostic MCP server that enables LLMs to safely interact with SQL databases through read-only operations and schema… | No signals yet | No commit datelisted | No one-command install · Source |
| 346 | Unranked | genimlskill · database | This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings… | No signals yet | No commit datelisted | armory install geniml --cli claude |
| 347 | Unranked | hormozi-mentor-agentmcp · database | Answers queries based on Alex Hormozi's YouTube content using local RAG with SQLite and vector embeddings. | No signals yet | No commit datelisted | No one-command install · Source |
| 348 | Unranked | llm-opsskill · database | LLM Operations -- RAG, embeddings, vector databases, fine-tuning, prompt engineering avancado, custos de LLM, evals de qualidade e arquiteturas de IA… | No signals yet | No commit datelisted | armory install llm-ops --cli claude |
| 349 | Unranked | long-contextskill · database | Extend context windows of transformer models using RoPE, YaRN, ALiBi, and position interpolation techniques. Use when processing long documents… | No signals yet | No commit datelisted | armory install long-context --cli claude |
| 350 | Unranked | mcp-local-mssql-servermcp · database | Exposes SQL Server stored procedures as tools for LLM clients (Claude Desktop, VS Code, Cursor, etc.) enabling direct database interaction through… | No signals yet | No commit datelisted | No one-command install · Source |
| 351 | Unranked | mcp-project-searchmcp · database | A project search MCP server based on Milvus vector database, supporting semantic search, hybrid search, and exact scalar queries. | No signals yet | No commit datelisted | No one-command install · Source |
| 352 | Unranked | milvus-mcpmcp · database | MCP server for Milvus vector database enabling vector search, text search, and hybrid search operations. | No signals yet | No commit datelisted | No one-command install · Source |
| 353 | Unranked | open-brain-mcpmcp · database | A self-hosted second brain MCP server that enables capturing thoughts with deduplication and semantic search using local embeddings and PostgreSQL… | No signals yet | No commit datelisted | No one-command install · Source |
| 354 | Unranked | openlink-mcp-server-for-odbcmcp · database | Enables LLMs to query ODBC-accessible databases via DSN, supporting SQL, SPARQL, and schema exploration. | No signals yet | No commit datelisted | No one-command install · Source |
| 355 | Unranked | pineconeskill · database | Managed vector database for production AI applications. Fully managed, auto-scaling, with hybrid search (dense + sparse), metadata filtering, and… | No signals yet | No commit datelisted | armory install pinecone --cli claude |
| 356 | Unranked | polarmemmcp · database | A local-first memory engine for AI agents that stores embeddings in polar-quantized form in a single SQLite file, enabling private, compact, and… | No signals yet | No commit datelisted | No one-command install · Source |
| 357 | Unranked | power-db-mcpmcp · database | A multi-database MCP tool that enables LLM agents to securely query and write to databases via local stdio, supporting MySQL, Oracle, PostgreSQL, DM… | No signals yet | No commit datelisted | No one-command install · Source |
| 358 | Unranked | rag-engineerskill · database | Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategies, and retrieval optimization… | No signals yet | No commit datelisted | armory install rag-engineer --cli claude |
| 359 | Unranked | ragdocs-mcp-servermcp · database | Enables semantic search and management of documentation through vector similarity using Qdrant and Ollama/OpenAI embeddings. | No signals yet | No commit datelisted | No one-command install · Source |
| 360 | Unranked | srclightmcp · database | Deep code indexing for AI agents using SQLite FTS5, tree-sitter parsing, and embeddings. | No signals yet | No commit datelisted | No one-command install · Source |
| 361 | Unranked | universalbenchmcp · database | Cloud workbench for executing Python and bash code, performing web searches, and integrating with Supabase, WordPress, GitHub, and LLMs through a… | No signals yet | No commit datelisted | No one-command install · Source |
| 362 | Unranked | vector-database-engineersubagent · database | Expert in vector databases, embedding strategies, and semantic search implementation. Masters Pinecone, Weaviate, Qdrant, Milvus, and pgvector for RAG… | No signals yet | No commit datelisted | armory install vector-database-engineer --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.