Leaderboard
Scored on public signals; components with none are listed as Unranked · Formula
Component
Domain
Vertical
| Rank | Score | Component | Description | Evidence | Last commit | Install |
|---|---|---|---|---|---|---|
| 101 | 52.288 | gergelyszerovay-qdrant-retrievemcp · database | Enables semantic search across multiple document collections using Qdrant vector database integration, allowing natural language queries with… | 5 forks | No one-command install · Source | |
| 102 | 51.401 | zvec-mcp-servermcp · database | Enables LLMs to interact with Zvec vector database through tools for collection management, document operations, vector search, and AI-powered… | 7 stars | No one-command install · Source | |
| 102 | 51.401 | sarpixelpioneer-kimi-memorymcp · database | Persistent memory system using ChromaDB vector storage and Ollama local embeddings. | 7 stars | No one-command install · Source | |
| 104 | 49.118 | adomcpmcp · database | AdoMcp is a Model Context Protocol (MCP) server that helps large language models (LLMs) understand database structure, read table comments, and… | 4 stars · 1 fork | No one-command install · Source | |
| 104 | 49.118 | exasol-mcp-server-with-governed-sql-optionmcp · database | Provides LLM access to Exasol database via MCP tools, including metadata reading and data queries, with an optional on-premise text-to-SQL (Governed… | 4 stars · 1 fork | No one-command install · Source | |
| 106 | 48.150 | logic-mcpmcp · database | Executes advanced logic primitives and cognitive operations via MCP tools, with dynamic LLM configuration and database tracing for reasoning tasks. | 4 forks | No one-command install · Source | |
| 107 | 47.273 | aman-cerp-amanmcpmcp · database | Provides local-first semantic code search with hybrid BM25 and vector embeddings, featuring automatic project indexing and zero-config setup. | 3 stars · 2 forks | No one-command install · Source | |
| 108 | 46.654 | charan-place-astramcp · database | MCP server that builds persistent code knowledge graphs using tree-sitter, vector embeddings, and PageRank for semantic code search. | 5 stars | No one-command install · Source | |
| 108 | 46.654 | three-ws-ibm-x402-mcpmcp · database | Pay-per-use IBM Granite AI over MCP — chat, code, embeddings, analysis, and forecasting, billed in USDC on Solana. No IBM account required. | 5 stars | No one-command install · Source | |
| 108 | 46.654 | context-bookmcp · database | Persistent knowledge library for AI agents using vector embeddings to provide relevant context on demand. | 5 stars | No one-command install · Source | |
| 111 | 44.256 | quarrymcp · database | Enables local semantic search over documents and code for Claude Code and Claude Desktop, running entirely offline with local embeddings and vector… | 3 stars · 1 fork | No one-command install · Source | |
| 111 | 44.256 | iamvirul-wso2-docsmcp · database | Provides RAG-based semantic search over WSO2 product documentation including API Manager, Choreo, Ballerina, and Micro Integrator using pgvector… | 3 stars · 1 fork | No one-command install · Source | |
| 111 | 44.256 | baidu-mochow-vector-databasemcp · database | Provides direct access to Mochow vector database capabilities for managing databases, tables, and performing vector similarity and full-text searches… | 3 stars · 1 fork | No one-command install · Source | |
| 111 | 44.256 | underratedf00l-locimcp · database | Persistent cross-session memory with hybrid keyword and semantic search using local embeddings and SQLite. | 3 stars · 1 fork | No one-command install · Source | |
| 111 | 44.256 | nlp-database-mcp-servermcp · database | Connect your LLMs to SQL databases safely and intuitively using the Model Context Protocol (MCP). NLP Database acts as a secure, read-only bridge that… | 3 stars · 1 fork | No one-command install · Source | |
| 111 | 44.256 | freespirit-pdfsearch-zedmcp · database | Built for Zed to enable semantic searching of PDF documents using a Qdrant vector database and OpenAI embeddings. | 3 stars · 1 fork | No one-command install · Source | |
| 111 | 44.256 | mcp-postgres-full-access-extendedmcp · database | Enables full read-write access to PostgreSQL databases with transaction management and safety controls, allowing LLMs to query and modify database… | 3 stars · 1 fork | No one-command install · Source | |
| 118 | 43.498 | lfrmonteiro99-memento-mcpmcp · database | Local-first persistent memory for AI coding agents. Captures facts, decisions, patterns, and architecture notes in SQLite (with optional cloud… | 2 stars · 2 forks | No one-command install · Source | |
| 118 | 43.498 | battery-mcpmcp · database | Enables LLMs to verify the novelty and validity of invented battery materials, with support for searching and validating against a materials database. | 2 stars · 2 forks | No one-command install · Source | |
| 120 | 43.275 | claude-ragmcp · database | MCP server that indexes Markdown files into a local SQLite vector store and provides semantic search tools for Claude Code. | 4 stars | No one-command install · Source | |
| 120 | 43.275 | jongko54-web-embeddingmcp · database | Source-first URL intake for embed routing, local capture, bounded rebuild, and fidelity verification. | 4 stars | No one-command install · Source | |
| 120 | 43.275 | moorcheh-mcp-servermcp · database | Enables interaction with Moorcheh AI services including namespace management, document embedding, vector search, and AI-powered answers through the… | 4 stars | No one-command install · Source | |
| 120 | 43.275 | postgresql-mcp-server-3mcp · database | Enables LLMs to interact deeply with PostgreSQL databases—query data, manage schema, analyze performance, and administer the database. | 4 stars | No one-command install · Source | |
| 120 | 43.275 | basst85-local-memorymcp · database | Local memory storage and retrieval using Ollama vector embeddings for persistent AI agent memory. | 4 stars | No one-command install · Source | |
| 120 | 43.275 | better-prompts-mcpmcp · database | Automatically extracts actionable methodologies from articles and URLs, stores them in a vector database, and retrieves relevant methods to enhance… | 4 stars | No one-command install · Source | |
| 120 | 43.275 | zxerai-hub-routermcp · database | Centralized hub for managing and routing multiple MCP servers through a web-based dashboard with smart routing capabilities that uses vector… | 4 stars | No one-command install · Source | |
| 120 | 43.275 | mctx-ai-bible-studymcp · database | Scholarly Bible study with semantic search across 155K verse embeddings, Strong's concordance, and cross-references. | 4 stars | No commit datelisted | No one-command install · Source |
| 120 | 43.275 | smallminds-mongtapmcp · database | Provides a MongoDB-compatible server backed by DataFlood statistical modeling, enabling database creation and querying using natural language without… | 4 stars | No commit datelisted | No one-command install · Source |
| 120 | 43.275 | vmsfigueredo-mcplensmcp · database | Semantic codebase search using Ollama embeddings and SQLite with AST-aware chunking and a web dashboard. | 4 stars | No commit datelisted | No one-command install · Source |
| 130 | 41.082 | arda-vector-database-mcp-servermcp · database | Enables semantic code search across multi-language codebases using natural language queries, integrated with Qdrant vector database for fast, cached… | 1 star · 2 forks | No one-command install · Source | |
| 130 | 41.082 | kdb-ai-mcp-servermcp · database | Enables interaction with KDB.AI through natural language for vector database operations, similarity searches, hybrid search, and advanced data… | 1 star · 2 forks | No one-command install · Source | |
| 132 | 38.412 | llm-usage-cost-trackermcp · database | A local-first, multi-provider cost meter for LLM usage, exposed as MCP tools. Captures every call into a local SQLite ledger and lets any coding agent… | 3 stars | No one-command install · Source | |
| 132 | 38.412 | pathmarkmcp · database | Local-first memory for MCP clients. It provides shared durable memory without requiring hosted accounts, vector databases, or API keys, and works with… | 3 stars | No one-command install · Source | |
| 132 | 38.412 | hipocampomcp · database | Dual-memory MCP system with PostgreSQL 17 + pgvector + NVIDIA NIM embeddings. 11 tools: search, save, profile, health, auto-repair, stats, tune… | 3 stars | No one-command install · Source | |
| 132 | 38.412 | data-studio-mcp-servermcp · database | Enables AI coding agents to securely access 70+ SQL and NoSQL databases via dockit and sqlkit, using plain language queries. It provides a three-tier… | 3 stars | No one-command install · Source | |
| 132 | 38.412 | mismemmcp · database | Provides persistent, cooperative memory for LLMs via MCP, with SQLite storage and tools for capturing, recalling, consolidating, crystallizing, and… | 3 stars | No one-command install · Source | |
| 132 | 38.412 | mikeylong-agent-memorymcp · database | Local-first cross-agent memory layer using SQLite with optional Ollama semantic embeddings for shared durable memory across Codex and Claude Code… | 3 stars | No one-command install · Source | |
| 132 | 38.412 | membotmcp · database | Provides a persistent, versioned, and searchable context store for AI agents with local embedding and hybrid search. | 3 stars | No one-command install · Source | |
| 132 | 38.412 | aarifmms-keyblindmcp · database | Encrypted secrets vault that blinds AI agents to API keys. Stores secrets in AES-256-GCM encrypted SQLite vault, resolves them at runtime via MCP… | 3 stars | No one-command install · Source | |
| 132 | 38.412 | infinite-context-keepermcp · database | MCP server providing context usage estimation, conversation compaction, and durable semantic memory via local embeddings and SQLite. | 3 stars | No one-command install · Source | |
| 132 | 38.412 | krusch-memorymcp · database | Persistent local-first semantic memory for AI agents with vector embeddings, temporal decay, and SQLite/PostgreSQL support. | 3 stars | No one-command install · Source | |
| 132 | 38.412 | universal-memory-servicemcp · database | Self-hosted service providing unified memory search and write operations across file-based memory, vector embeddings, and the Graphiti temporal… | 3 stars | No one-command install · Source | |
| 132 | 38.412 | beingpro007-memdxmcp · database | Provides local memory layer using Qdrant vector storage and Ollama embeddings for persistent context storage across conversations, automatically… | 3 stars | No one-command install · Source | |
| 132 | 38.412 | fastmcp-mysql-servermcp · database | A secure and efficient MCP server for MySQL database operations, enabling LLMs to execute SQL queries with read-only access by default and optional… | 3 stars | No one-command install · Source | |
| 132 | 38.412 | biomarker-mcpmcp · database | Enables querying celltype markers from CellMarker database using natural language. | 3 stars | No one-command install · Source | |
| 132 | 38.412 | luxter77-kbdbmcp · database | PostgreSQL-backed RAG server that provides semantic search across document embeddings using pgvector, supporting multiple search modalities including… | 3 stars | No one-command install · Source | |
| 132 | 38.412 | ms-fabric-mcpmcp · database | Enables LLMs to query and explore schemas in Microsoft Fabric lakehouses, warehouses, and SQL databases using natural language, with tools for… | 3 stars | No one-command install · Source | |
| 132 | 38.412 | luebken-playlistmcp · database | Fetches and indexes YouTube playlist transcripts for quick search through vector embeddings, enabling efficient content discovery without watching… | 3 stars | No one-command install · Source | |
| 132 | 38.412 | kgrag-mcp-servermcp · database | Implements the Model Context Protocol for managing, ingesting, and querying structured and unstructured data with integration to graph databases… | 3 stars | No commit datelisted | No one-command install · Source |
| 150 | 38.066 | codeintel-mcp-servermcp · database | Enables AI agents to perform hybrid code search, get explanations, analyze relations and impacts, retrieve context packs, and generate documentation… | 2 stars · 1 fork | No one-command install · Source | |
| 150 | 38.066 | kruschdev-pg-git-semantic-memorymcp · database | PostgreSQL-backed semantic Git storage for AI coding agents with pgvector embeddings, local Ollama models, and temporal decay scoring. | 2 stars · 1 fork | No one-command install · Source | |
| 152 | 35.443 | myarxivdb-mcpmcp · database | Organizes personal research papers by crawling arXiv metadata, embedding abstracts, storing in a PostgreSQL database, and generating Related Work… | 2 forks | No one-command install · Source | |
| 153 | 32.223 | glama-status-mcpmcp · database | Daily-refreshed Glama TDQS score tracker for any MCP fleet. Scrapes per-tool grades from glama.ai, stores in SQLite with snapshot history and delta… | 2 stars | No one-command install · Source | |
| 153 | 32.223 | liuhemcp · database | LLM-native code tools: 44 MCP tools for AI agents to read, understand and modify code. Rust tree-sitter parse daemon (crash-isolated), SQLite symbol… | 2 stars | No one-command install · Source | |
| 153 | 32.223 | memory-fabricmcp · database | Enables AI coding assistants to store and retrieve project-aware context as plain Markdown files locally, with no cloud or vector database required. | 2 stars | No one-command install · Source | |
| 153 | 32.223 | membankmcp · database | LLM memory management system that stores corrections, preferences, decisions, and learnings in a local SQLite database with semantic search, exposed… | 2 stars | No one-command install · Source | |
| 153 | 32.223 | memory-db-mcp-servermcp · database | A lightweight vector-based memory system for AI agents with tools to store, semantically search, and delete memories, using your own embedding model. | 2 stars | No one-command install · Source | |
| 153 | 32.223 | fusionmcp · database | Enables LLMs to perform analytical SQL queries on PostgreSQL/MySQL databases via DuckDB, with tools for querying, aggregation, and materialized views. | 2 stars | No one-command install · Source | |
| 153 | 32.223 | the-rag-mcpmcp · database | An enterprise-ready MCP server that exposes a RAG tool for retrieving relevant context and metadata from a Qdrant vector database using natural… | 2 stars | No one-command install · Source | |
| 153 | 32.223 | venkateshamatam-recallmcp · database | Local SQLite MCP server enabling multiple AI agents to share persistent memory with on-device vector embeddings across Claude, Cursor, and other… | 2 stars | No one-command install · Source | |
| 153 | 32.223 | doobidoo-memory-service-rsmcp · database | High-performance Rust drop-in replacement for mcp-memory-service with SQLite storage and ONNX embeddings. | 2 stars | No one-command install · Source | |
| 153 | 32.223 | icerhymers-unity-catalogmcp · database | Semantic search over Databricks Unity Catalog metadata using BGE-large embeddings and pgvector. | 2 stars | No one-command install · Source | |
| 153 | 32.223 | w3-mcp-server-qdrantmcp · database | Python MCP server for vector search using Qdrant vector database and Ollama embeddings, with advanced query techniques like query expansion, HyDE, and… | 2 stars | No one-command install · Source | |
| 153 | 32.223 | fuga-memorymcp · database | An MCP server providing long-term memory for LLMs via hybrid search (FTS5 + vector) stored in SQLite, with time-decay scoring and support for multiple… | 2 stars | No one-command install · Source | |
| 153 | 32.223 | sarfraznawaz2005-windows-screenshotmcp · database | Captures Windows desktop screenshots through full-screen and interactive region selection modes, automatically saving timestamped images and… | 2 stars | No one-command install · Source | |
| 153 | 32.223 | db-assistant-mcp-servermcp · database | Enables natural language performance analysis and optimization of AWS Aurora MySQL databases, using AI (Bedrock, Claude) and RAG to generate HTML… | 2 stars | No one-command install · Source | |
| 153 | 32.223 | atlas-vector-search-docsmcp · database | Provides semantic search and document retrieval using MongoDB Atlas Vector Search with Voyage AI embeddings, enabling intelligent querying across… | 2 stars | No one-command install · Source | |
| 153 | 32.223 | sndani-weaviatemcp · database | Provides a flexible vector database system for storing, searching, and retrieving persistent memories and structured knowledge across conversation… | 2 stars | No one-command install · Source | |
| 153 | 32.223 | mcp-zoteromcp · database | Enables interaction with Zotero libraries for searching, managing collections, items, tags, and attachments, plus optional semantic search across PDFs… | 2 stars | No commit datelisted | No one-command install · Source |
| 170 | 29.013 | perseus-vaultmcp · database | An encrypted, local-first memory server for AI agents that uses SQLite + FTS5 hybrid search, keeping memory off the GPU to maximize HBM for inference. | 1 star · 1 fork | No one-command install · Source | |
| 170 | 29.013 | doctree-mcpmcp · database | Enables agentic document retrieval over markdown, CSV, and JSONL using BM25 and tree navigation, without vector databases or embeddings, allowing AI… | 1 star · 1 fork | No one-command install · Source | |
| 170 | 29.013 | mesh-memorymcp · database | Self-hosted semantic memory for AI agents. Save worklogs, decisions, and notes via MCP, then recall them across sessions by meaning rather than… | 1 star · 1 fork | No one-command install · Source | |
| 170 | 29.013 | unrestricted-postgresql-mcp-servermcp · database | Provides full read-write access to PostgreSQL databases with advanced transaction management, recovery tools, and schema exploration capabilities… | 1 star · 1 fork | No one-command install · Source | |
| 170 | 29.013 | xiy-claude-memorymcp · database | Provides persistent memory storage across conversations using SQLite database with full-text search and optional semantic search through Ollama… | 1 star · 1 fork | No one-command install · Source | |
| 170 | 29.013 | intelligent-postgresql-mcp-clientmcp · database | Enables natural language querying of PostgreSQL databases with intelligent SQL generation using LLMs. | 1 star · 1 fork | No one-command install · Source | |
| 170 | 29.013 | tailabs-milvusmcp · database | Integrates with Milvus vector database to enable collection creation with custom schemas, vector similarity search with configurable metrics, data… | 1 star · 1 fork | No one-command install · Source | |
| 170 | 29.013 | terryso-metatag-geniemcp · database | Enables AI to write standardized metadata to various image file formats including HEIC and PNG for automated tagging, photo organization, and… | 1 star · 1 fork | No one-command install · Source | |
| 178 | 23.374 | super-memory-tsmcp · database | Local-first semantic memory server with project indexing for AI assistants. It enables AI assistants to store, retrieve, and search memories and… | 1 fork | No one-command install · Source | |
| 178 | 23.374 | ygtdgn-codebase-indexermcp · database | Indexes source code using Ollama embeddings and Qdrant vector database to enable natural language semantic search across codebases. | 1 fork | No one-command install · Source | |
| 178 | 23.374 | vurtnec-lancedb-vector-searchmcp · database | Enables vector search capabilities using LanceDB and Ollama's embedding model for similarity searches on document collections without context… | 1 fork | No one-command install · Source | |
| 178 | 23.374 | jimmy974-qdrantmcp · database | Integrates with Qdrant vector database to provide semantic search capabilities for storing and retrieving information using multiple embedding… | 1 fork | No one-command install · Source | |
| 182 | 22.557 | neo-memmcp · database | Provides persistent, graph-based memory for AI agents using Neo4j and vector embeddings, enabling semantic recall across sessions via MCP. | 1 star | No one-command install · Source | |
| 182 | 22.557 | athena-diarymcp · database | Provides a SQLite-backed off-context diary for Letta agents with MCP tools for journaling and retrieval, keeping core memory uncluttered. Supports… | 1 star | No one-command install · Source | |
| 182 | 22.557 | tsilva-openroutermcp · database | Provides access to 300+ OpenRouter AI models for chat, image generation, embeddings, and model discovery. | 1 star | No one-command install · Source | |
| 182 | 22.557 | md-mcpmcp · database | Exposes local markdown documentation, notes, and knowledge bases to AI tools via the Model Context Protocol without embeddings or uploading. | 1 star | No one-command install · Source | |
| 182 | 22.557 | dense-knowledge-mcpmcp · database | Dense Knowledge is a small local server for Model Module Protocol (MMP) files. It gives language models a persistent research memory without requiring… | 1 star | No one-command install · Source | |
| 182 | 22.557 | mcp-apache-supersetmcp · database | Connects LLM clients to Apache Superset for querying charts, dashboards, datasets, databases, and executing SQL. | 1 star | No one-command install · Source | |
| 182 | 22.557 | rag-mcp-server-2mcp · database | A RAG knowledge base MCP server that adds vector search and reranking capabilities to opencode, supporting multimodal embeddings, multiple knowledge… | 1 star | No one-command install · Source | |
| 182 | 22.557 | open-memorymcp · database | Gives AI tools (Copilot, Claude, etc.) access to a personal knowledge base stored as plain markdown files, indexed and searched via QMD (BM25 + vector… | 1 star | No one-command install · Source | |
| 182 | 22.557 | brianmeyer-mollygraphmcp · database | Local-first self-improving knowledge graph for AI agents with three-layer entity extraction, parallel graph and vector retrieval, and automated LoRA… | 1 star | No one-command install · Source | |
| 182 | 22.557 | achreftlili-code-indexmcp · database | SQLite-backed hybrid search combining vector embeddings and full-text search for code repositories. | 1 star | No one-command install · Source | |
| 182 | 22.557 | buildin-mcpmcp · database | Enables LLMs to interact with Buildin.ai workspaces, providing tools to manage pages, databases, blocks, search, users, and convert Markdown content. | 1 star | No one-command install · Source | |
| 182 | 22.557 | electronics-docs-mcp-servermcp · database | Provides LLMs with direct access to official vendor PDF documentation for electronics components (TI, ST, ADI) via a local SQLite full-text index and… | 1 star | No one-command install · Source | |
| 182 | 22.557 | qmcpmcp · database | Semantic search server for code and documentation using Qdrant vector database. Supports multi-language indexing, live updates, and natural language… | 1 star | No one-command install · Source | |
| 182 | 22.557 | mcp-knowledge-base-servermcp · database | A local knowledge base server that connects to AI assistants, turning markdown files into a semantically searchable memory layer via OpenAI embeddings… | 1 star | No one-command install · Source | |
| 182 | 22.557 | codetex-mcpmcp · database | A commit-aware code context manager for LLMs that indexes Git repositories into a multi-tier knowledge hierarchy (repo overviews, file summaries… | 1 star | No one-command install · Source | |
| 182 | 22.557 | msfixer101-idea-basinmcp · database | Connects to an Idea Basin knowledge graph for semantic search, node browsing, and resource saving with vector embeddings. | 1 star | No one-command install · Source | |
| 182 | 22.557 | hansdoebel-lancedbmcp · database | Zed editor extension integrating LanceDB vector database for document ingestion with auto-embeddings, vector search, full-text search, and hybrid… | 1 star | No one-command install · Source | |
| 182 | 22.557 | personal-memory-gatewaymcp · database | A privacy-first memory layer for AI that securely bridges local knowledge with AI assistants through MCP tools, with intelligent redaction and local… | 1 star | No one-command install · Source | |
| 182 | 22.557 | code-searchmcp · database | Enables semantic code search across indexed code folders using vector embeddings, with support for multiple embedding providers and automatic file… | 1 star | 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.