The AWS MCP Server is a server implementation based on the Model Context Protocol that supports operations on AWS's S3 and DynamoDB services. All operations are automatically recorded and can be audited.

The MCP server for the 1000 Genomes Project dataset provides real - time natural language access to 3202 samples, 138 million variants, and approximately 442 billion genotypes in the Dnaerys variant storage, supporting screening and analysis based on coordinates, annotations, and genetic patterns.

DuckDB MCP Server is a service that implements the Model Context Protocol (MCP), enabling AI assistants to interact with the DuckDB database via SQL, supporting queries from multiple data sources and cloud storage access.

The Keboola MCP Server is a Model Context Protocol server for interacting with Keboola Connection, providing tools to access Keboola storage API data and supporting use on platforms such as Claude Desktop and Cursor AI.

This project provides multiple Model Context Protocol servers, including web search, weather query, and memory storage functions, enabling AI models to integrate external tools and data sources.

The ADLS2 MCP Server is a Model Context Protocol (MCP) server implemented for Azure Data Lake Storage Gen2, providing a standardized interface for file operations through MCP tools.

The Eyevinn Open Source Cloud MCP Server provides database, storage, and VOD processing services

The Eyevinn Open Source Cloud MCP Server provides web services such as databases, storage, and VOD processing pipelines based on open source technologies, avoiding vendor lock-in and supporting revenue sharing for creators.

The MCP Server is an interaction system based on the Model Context Protocol standard, combining IPFS distributed storage and Claude AI processing capabilities to achieve efficient interaction between models, agents, and contextual data.

The Supabase MCP Server is a middleware that bridges MCP clients and Supabase services, providing comprehensive functions such as database operations, storage management, and edge function calls.

An implementation of a knowledge graph management MCP server based on Neo4j, providing standard interfaces for the storage and retrieval of graph databases.

This project is a list of MCP servers, covering multiple fields such as browser automation, tool integration, system automation, AI services, search, commands, workflow automation, social media, communication, customer data platforms, databases, knowledge storage, development tools, file systems, cloud storage, finance, location services, monitoring, research data, security, travel, data visualization, notes, marketing, identity, etc.

The MCP Neo4j Knowledge Graph Memory Server is an enhanced memory storage system based on the Neo4j graph database, providing high-performance knowledge graph storage and retrieval capabilities for AI assistants.

The Chroma MCP Server is a model context protocol server designed for the Chroma vector database, aiming to provide persistent working memory functions for AI-assisted development, supporting cross-session context storage and semantic retrieval.

The MCP server project is used to connect to the Weaviate vector database, providing search and storage functions, and supporting the configuration of the development environment through the Claude desktop application.

This project is an implementation of an MCP server based on OpenSearch, providing semantic memory storage and retrieval functions for LLM applications such as Claude, and supporting the connection of AI tools and data sources through a standard protocol.

The Advanced Reasoning MCP Server is a self - contained server based on the sequential thinking mode, with advanced cognitive functions such as meta - cognitive assessment, hypothesis testing, integrated memory libraries, and structured data storage. It supports a dual - storage architecture (graph - based memory and document storage) and enhanced visualization.

An MCP server implementation based on the LanceDB vector database, providing semantic memory storage and retrieval functions.

The MCP application is a service that combines RAG and web search tools, using OpenAI embedding vector storage, PostgreSQL as the database, and PGVector as the vector storage, supporting knowledge retrieval and document addition functions.

This is a project memory library management service based on SQLite, providing storage and retrieval functions for project background, decision records, progress updates, etc. through the MCP protocol, and supporting independent data management by project path.

A database service project based on the mcp - framework, providing tools for interaction between PostgreSQL and Google Cloud Storage

An MCP server that provides email processing capabilities, integrating MongoDB semantic search and SQLite efficient storage

This project adds knowledge graph management functionality to the MCP memory server, using the PouchDB database for efficient storage, supporting custom storage paths and timestamp recording.

The self-hosted Supabase MCP server provides complete management functions for private Supabase instances, including over 54 MCP tools, supporting all-round management of databases, authentication, storage, real-time data, migration, and monitoring.

The Storacha MCP Storage Server is a decentralized storage solution based on IPFS and CID, providing standardized file storage and retrieval interfaces for AI applications, supporting data sovereignty, verifiability, and cross - system integration.

A TypeScript - based MCP server that supports direct interaction with Azure Table Storage through the Cline, providing functions for querying, managing, and analyzing data.

The Cloudflare MCP service is a standardized protocol based on the Model Context Protocol (MCP) for managing context interactions between large language models (LLMs) and external systems. This project provides an installer and an MCP server, supporting the management of various resources in a Cloudflare account, such as Workers, KV storage, R2 storage, and D1 databases, through natural language instructions. Users can perform various operations in a Cloudflare account using natural language via MCP clients such as Claude Desktop, VSCode (Cline), and Windsurf.

The VikingDB MCP Server is an MCP service that provides storage and search functions for the VikingDB vector database, supporting quick access through configuration and data operations using related tools.

This is a sample project of an MCP service based on Spring AI, which implements CRUD operations for personnel data using in-memory storage for demonstration and experimentation purposes.

Alibaba Cloud PolarDB is a cloud - native relational database service that provides high performance, second - level automatic scaling, and large - capacity storage. It is fully compatible with MySQL and PostgreSQL and highly compatible with Oracle syntax.

A service that accesses Apple device data through the MCP protocol, supporting memory storage and retrieval

The OCI Pricing MCP Server provides pricing data for Oracle cloud infrastructure to AI assistants, supporting real - time queries and offline data. It includes cost estimation tools for services such as computing, storage, and databases.

Unibase membase is a decentralized memory layer designed for AI agents, achieving seamless integration with the decentralized storage protocol through the membase mcp server and supporting the upload and download of memory data.

This is a Model Context Protocol (MCP) server project designed specifically for self-hosted Supabase instances. It provides functions such as database management, schema querying, user authentication, and storage viewing, and supports integration with the development environment through the MCP client tool.

An MCP service for JSON document storage based on the Fireproof database

MongTap is a MongoDB-compatible server based on the MCP protocol that generates simulated data through statistical modeling technology without actual storage, providing database operation functions for LLMs

The MCP IPFS Server is a Node.js - based server that implements the Model Context Protocol (MCP) for interacting with the storacha.network platform via the w3 command - line tool. It encapsulates the w3 CLI functions, provides operations such as space management, data upload/download, and authorization delegation, and supports language models and other MCP clients to access IPFS storage services through a standardized interface.

The VikingDB MCP server provides storage and search services for the VikingDB vector database

This project aims to regularly synchronize MCP server data from the official Cline Marketplace, provide an offline service market function, and include a service information storage and synchronization mechanism.

awesome - mcp is a project that collects and shares MCP (Model Context Protocol) servers, covering various MCP server implementations contributed by the official and the community, including multiple fields such as AI, databases, browser automation, code management, image generation, search, and storage.