Databases MCP Servers
Browse all MCP servers categorized under “Databases”. Find tools that match this tag's focus—be it a supported model, function, provider, or use case.
notion-mcp-server
by makenotion
The Notion MCP Server is a tool that implements the MCP server protocol for the Notion API. It enables users to securely connect and manage Notion integrations with limited API exposure and supports both npm and Docker configurations.
supabase-mcp
by supabase-community
Supabase MCP Server connects Supabase projects with AI assistants via the Model Context Protocol, facilitating seamless database management and configuration fetching. It offers extensive tools for project and database operations, with options for project-specific settings and read-only mode.
genai-toolbox
by googleapis
MCP Toolbox for Databases is an open-source server that streamlines the development process by handling database complexities such as connection pooling and authentication. It ensures better performance, security, and observability for Gen AI tool integration with support for OpenTelemetry.
mcp-notion-server
by suekou
The Notion MCP Server facilitates interaction between language models and Notion workspaces by leveraging the Notion API. It supports a wide range of functionalities for managing Notion content and is optimized with Markdown conversion for efficient token use. This server is licensed under the MIT License, allowing free usage and modification.
supabase-mcp-server
by alexander-zuev
Query MCP is an open-source Model Context Protocol (MCP) server for managing Supabase projects. It offers robust SQL safety features and integration with the Supabase Management API and Auth Admin SDK. Although it is no longer actively maintained due to the release of an official server, it remains a feature-rich tool for integrating with multiple IDEs.
azure-mcp
by Azure
Azure MCP Server integrates AI agents with various Azure services, making it possible to perform operations like querying databases and managing configurations via natural language commands. It supports multiple Azure services and uses Azure Identity for authentication.
mcp-server-qdrant
by qdrant
The mcp-server-qdrant project is designed to integrate Qdrant, a vector search engine, with the Model Context Protocol to provide a robust semantic memory layer. It allows users to store and retrieve data across a Qdrant database using standardized MCP tools, making it suitable for various AI applications.
mysql_mcp_server
by designcomputer
The MySQL MCP Server is a secure protocol implementation designed to facilitate communication between AI applications and MySQL databases. It enhances database safety and structure by providing a controlled interface for data interaction and analysis.
dbhub
by bytebase
DBHub is a universal database gateway enabling MCP-compatible clients to explore and interact with various databases. It supports secure connections, read-only modes, and is equipped with tools for SQL execution and database analysis. The gateway facilitates integration with clients using either `stdio` or `sse` transports.
pg-mcp-server
by stuzero
The PostgreSQL Model Context Protocol (PG-MCP) Server is a comprehensive solution for integrating AI agents with PostgreSQL databases. Key features include robust connection management, advanced query and schema discovery tools, and support for extensions like PostGIS. It's built for seamless database interaction via an enhanced API, ensuring secure and efficient data management.
mcp-server-mysql
by benborla
This project is an MCP server allowing seamless integration with MySQL databases for querying and schema access, leveraging NodeJS. It supports complex configurations for multi-database environments, provides schema-specific permissions, and ensures high performance and security.
mcp-clickhouse
by ClickHouse
ClickHouse MCP Server is a model context protocol server specifically for ClickHouse, allowing for executing secure SQL queries and managing databases easily. It is configurable to work both locally and with cloud setups, providing streamlined operations for developers.
postgres-mcp
by crystaldba
Postgres MCP Pro is an open-source MCP server that enhances AI agents' ability to manage PostgreSQL databases. It offers advanced index tuning and query optimization, ensuring efficient database performance. Key features include safe SQL execution, schema intelligence, and support for various communication transports.
mcp-server-neon
by neondatabase-labs
Neon MCP Server is an open-source tool that enables natural language interaction with Neon Postgres databases. It simplifies database management and supports users with different technical backgrounds by providing a bridge between conversational commands and the Neon API. This server allows seamless project management, SQL execution, and database migrations using the Model Context Protocol.
mcp-mongo-server
by kiliczsh
The MCP MongoDB Server is designed to facilitate LLMs' interactions with MongoDB by providing a standardized interface for database operations. Key features include smart handling of ObjectId, flexible configuration, and a read-only mode for secure production use.
mcp-alchemy
by runekaagaard
MCP Alchemy is a tool designed to connect Claude Desktop directly to various databases, enabling users to explore structures, write queries, and conduct analyses. It supports multiple database systems and enhances database interaction with smart query execution and data manipulation features.
mcp-server-elasticsearch
by elastic
The Elasticsearch MCP Server allows users to connect and interact with their Elasticsearch data through natural language queries using the Model Context Protocol. It is intended for research and experimental use, providing various tools to manage and query data indices efficiently.
atlas-mcp-server
by cyanheads
ATLAS is a task management system built on the Model Context Protocol, facilitating seamless interactions between LLM Agents and project databases. It features advanced project, task, and knowledge management capabilities using a Neo4j graph database, designed to enhance efficiency and organization.
db-mcp-server
by FreePeak
The Multi Database MCP Server is a protocol server allowing AI models to interact with multiple databases simultaneously. It supports MySQL, PostgreSQL, and TimescaleDB, featuring dynamic tool generation and modular architecture for AI assistant integration.
mcp-graphql
by blurrah
mcp-graphql is a server that facilitates interaction with GraphQL APIs by enabling Large Language Models to perform schema introspection and execute queries. It provides tools to access and manipulate GraphQL data securely, with customization options for specific implementations.
mcp-server-motherduck
by motherduckdb
MotherDuck's DuckDB MCP Server is a comprehensive solution aimed at enhanced SQL analytics, offering seamless integration with both local and cloud-based databases. It supports AI Assistants and IDEs, allowing for hybrid execution and cloud storage integration.
chroma-mcp
by chroma-core
Chroma is an open-source embedding database that acts as a server in the Model Context Protocol. It is designed to facilitate data retrieval, document operations, and collection management for LLM applications, providing flexible client types and a range of tools for developers.
mongodb-mcp-server
by mongodb-js
The MongoDB MCP Server is a Model Context Protocol server facilitating interactions with MongoDB Databases and MongoDB Atlas. It supports a variety of database and Atlas management operations and can be configured using several methods. Key features include a comprehensive set of tools and a configurable read-only mode for data security.
mongodb-lens
by furey
MongoDB Lens is an MCP server that enhances interaction with MongoDB databases through natural language commands, leveraging LLMs for intelligent query processing and database management. It offers a variety of features for database analysis, schema management, and data security, making it a comprehensive tool for managing MongoDB instances.
airtable-mcp-server
by domdomegg
The Airtable MCP Server provides access to Airtable databases, allowing operations like reading, writing, and schema inspection. It supports various table and record management functionalities to integrate Airtable into different applications.
BloodHound-MCP
by stevenyu113228
BloodHound MCP utilizes the power of Large Language Models to facilitate natural language interaction with Active Directory and Azure Active Directory environments. It integrates seamlessly with existing BloodHound data stored in Neo4j, offering user-friendly and complex analysis through conversational commands.
firebase-mcp
by gannonh
Firebase MCP allows AI assistants to integrate with Firebase services such as Firestore, Storage, and Authentication. It supports MCP client applications like Claude Desktop and VS Code, providing robust file management and user verification services. Known issues have been identified, but do not affect functionality.
elasticsearch-mcp-server
by cr7258
The Elasticsearch/OpenSearch MCP Server is a Model Context Protocol server providing interaction capabilities with Elasticsearch and OpenSearch, enabling document search, index management, and cluster operations through various tools. It supports installation via Smithery and configuration for use in desktop environments like Claude Desktop.
mongo-mcp
by QuantGeekDev
This project is a Model Context Protocol (MCP) server allowing large language models (LLMs) to smoothly interact with MongoDB databases using natural language communication. It offers features such as document querying, schema inspection, and index management.
xiyan_mcp_server
by XGenerationLab
The XiYan MCP Server provides an interface that enables natural language queries to databases through its powerful Model Context Protocol. It supports various large language models and ensures high security with options for local deployment. The project emphasizes ease of integration and superior performance benchmarks.
supabase-mcp
by coleam00
The Supabase MCP Server is a Model Context Protocol server designed to facilitate AI assistants in performing database operations within a Supabase environment. It enables standardized interactions with Supabase for reading, creating, updating, and deleting records, leveraging Docker for integration.
mcp-google-sheets
by xing5
The `mcp-google-sheets` project serves as a gateway to seamlessly integrate AI with Google Sheets using a Python-based MCP server. It allows users to automate and manage their spreadsheet data effectively, facilitating integration with MCP-compatible clients for enhanced data workflows.
mcp-server-weaviate
by weaviate
Weaviate MCP Server is designed to facilitate data interaction with Weaviate using Model Context Protocol. It supports object insertion and querying through hybrid search capabilities.
mcp-server-milvus
by zilliztech
The MCP Server for Milvus enables seamless integration between large language model applications and the Milvus vector database, providing necessary context connectivity. It supports both stdio and SSE communication modes and can be used with applications like Claude Desktop and Cursor.
mcp-pinecone
by sirmews
The Pinecone Model Context Protocol Server for Claude Desktop facilitates reading and writing to a Pinecone index. It offers tools for semantic search, document processing, and more, and is intended for integration with Claude Desktop applications.
mcp-1panel
by 1Panel-dev
1Panel MCP Server is a Model Context Protocol server implementation for 1Panel, offering various installation methods and support for different running modes. It provides tools for system management, website handling, certificate management, application installation, and database handling.
mssql_mcp_server
by RichardHan
This project is a Model Context Protocol (MCP) server that facilitates secure interactions with Microsoft SQL Server databases. It provides functionality for listing tables, reading data, and executing SQL queries, with a focus on safety and structured database exploration.
mcp-server-aws
by rishikavikondala
The AWS MCP Server is designed for efficient AWS S3 and DynamoDB operations using the Model Context Protocol. It offers automated logging of operations, ease of installation via Smithery, and integration with the Claude desktop app for enhanced functionality.
mcp-server-duckdb
by ktanaka101
The mcp-server-duckdb is a Model Context Protocol server implementation for DuckDB, facilitating database interaction through MCP tools. It supports query execution and operates with features like read-only mode for added security.
notion-mcp-server
by awkoy
Notion MCP Server is a tool for AI assistants to interact with the Notion API using natural language. It supports full CRUD operations on Notion content and is designed to work with multiple MCP-compatible clients.
cryo-mcp
by z80dev
Cryo MCP is a Model Completion Protocol (MCP) server designed for blockchain data extraction using the Cryo tool. It facilitates easy querying of blockchain data through an API server that integrates with MCP clients, allowing SQL queries against blockchain datasets.
meilisearch-mcp
by meilisearch
The Meilisearch MCP Server is a Model Context Protocol server designed to enable interaction with Meilisearch through interfaces like Claude. It supports management and configuration of indices, document operations, and search functionalities, among other features.
mcp-server-bigquery
by LucasHild
The BigQuery MCP server is designed to offer large language models access to Google BigQuery for inspecting and querying databases. It supports executing SQL queries, listing tables, and describing table schemas in the BigQuery environment.
mcp-bigquery-server
by ergut
BigQuery MCP Server enables seamless and secure interaction between AI models like Claude and BigQuery databases using natural language. It features natural language query capabilities, secure data handling, and easy setup options.
mcp-snowflake-server
by isaacwasserman
The Snowflake MCP Server is a Model Context Protocol implementation designed for seamless interaction with Snowflake databases. It facilitates SQL queries through various tools and offers dynamically updated data insights and schema context resources for efficient database management.
prometheus-mcp-server
by pab1it0
Prometheus MCP Server is an MCP-compatible server that enables AI assistants to interact with Prometheus for metric queries and analysis. It supports authentication and Docker deployment, providing configurable tools for enhanced functionality.
mcp-server-starrocks
by StarRocks
The StarRocks MCP Server provides a robust connection between AI assistants and StarRocks databases, offering features like direct SQL execution, schema exploration, and data visualization. It is designed to simplify data interactions with intelligent caching and flexible configurations.
turbular
by raeudigerRaeffi
Turbular is an open-source MCP server aimed at facilitating seamless database connectivity for Language Models (LLMs). It is robust in supporting multiple database types and offers secure, optimized, and easily extensible features for sophisticated AI applications.
mcp-openapi-proxy
by matthewhand
mcp-openapi-proxy is a Python package that acts as a Model Context Protocol (MCP) server to expose REST APIs as MCP tools, facilitating easy integration into MCP workflows. It supports OpenAPI specifications and offers flexibility in tool configuration and authentication.
mcp-mysql-server
by f4ww4z
The @f4ww4z/mcp-mysql-server is a Model Context Protocol server specifically designed for AI models to interact with MySQL databases seamlessly. It offers secure connection handling, robust error handling, and supports TypeScript, making it a reliable choice for database operations.
ultimate_mcp_server
by Dicklesworthstone
Ultimate MCP Server is a Model Context Protocol server designed to provide AI agents with a comprehensive set of capabilities for cognitive augmentation and task orchestration. It offers cost-efficient and high-performance access to multiple LLM providers, enabling advanced AI agents to operate autonomously across diverse digital tasks.
mcp-tinybird
by tinybirdco
Tinybird MCP server enables interaction with a Tinybird Workspace from any MCP client, providing tools to query, manage, and analyze data using Tinybird's services. It supports both SSE and STDIO modes and is designed for seamless integration in various data analysis workflows.
xero-mcp-server
by XeroAPI
The Xero MCP Server provides a standardized interface to interact with Xero's accounting features through the Model Context Protocol. It supports various account and contact management functionalities, along with MCP protocol compliance, facilitating integration with tools like Claude Desktop.
mcp-redis
by redis
The Redis MCP Server is a natural language interface enabling efficient management and querying of Redis data through seamless MCP client integration. Designed for scalability and high performance, it facilitates AI-driven data operations on various Redis data types.
lance-mcp
by adiom-data
LanceDB MCP Server for LLMS is designed to enable large language models to dynamically search and interact with locally stored documents through LanceDB. It offers efficient token usage and ensures data security by storing the index locally.
Easy-MCP-AutoCad
by zh19980811
AutoCAD MCP Server enables natural language interaction with AutoCAD using Model Context Protocol (MCP). It supports basic drawing functions, layer management, and integrates with a SQLite database for storing CAD elements.
mcp-memory-libsql
by spences10
mcp-memory-libsql is a server for the Model Context Protocol designed to provide high-performance, persistent memory functionalities using libSQL. It features vector search capabilities and efficient knowledge storage, compatible with both local and remote databases.
sqlite-explorer-fastmcp-mcp-server
by hannesrudolph
SQLite Explorer MCP Server is designed to offer safe and read-only access to SQLite databases. Built with the FastMCP framework, it ensures query validation and parameter binding, providing reliable tools for exploring and querying databases.
mysql_mcp_server_pro
by wenb1n-dev
mcp_mysql_server is a tool that extends MySQL database operations with enhanced functionalities, including anomaly analysis and custom tool integration. It offers robust features such as SQL execution, health monitoring, and permission controls, making it an invaluable resource for database management and analysis.