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Connects to Supabase platform for database, auth, edge functions and more.

Official MongoDB MCP server for connecting AI assistants to MongoDB databases and MongoDB Atlas Clusters. Provides natural language interfaces for database operations including aggregations, schema exploration, and index management.

An MCP Server that enables seamless interaction with SQLite Cloud databases using AI models via the Model Context Protocol (MCP). It provides tools for executing SQL queries, managing schemas, running commands, and analyzing query performance.

Open-source GenAI database agent and AI database connector for Google Cloud database—query Cloud SQL, BigQuery, AlloyDB, and Spanner.

No-code platform connecting AI to 200+ data sources and relational databases like PostgreSQL, SQL Server, MySQL, Oracle. Offers real-time data, IP whitelisting, user authentication, managed scaling and logging.

Connect Supabase projects to AI with Supabase MCP Server. Standardize LLM communication for secure, efficient development.

Query more than 40 apps with one binary using SQL. It can also connect to your PostgreSQL, MySQL, or SQLite compatible databases as an MCP server.

Facilitates secure and structured AI-driven exploration and analysis of IoTDB databases through a controlled MCP interface.

Model Context Protocol (MCP) server that provides access to TeslaMate database, allowing AI assistants to query vehicle data.

Columnar database MCP server for real-time analytics on massive datasets. Features SQL queries with high ingestion rates and efficient compression. Use cases include logs and metrics analysis; contrasts with PostgreSQL MCP's row-based relational model suited for OLAP over transactional workloads.

Relational database MCP server enabling AI agents to inspect schemas and execute SELECT queries on PostgreSQL. Supports self-hosting via Docker with natural language to SQL translation. Essential for transactional data access; contrasts with ClickHouse MCP's columnar analytics focus.

Baserow MCP Server allows AI agents to access and query no-code databases via the Model Context Protocol (MCP). Supports CRUD operations on tables and rows for NoSQL-like data management. Perfect for agent data retrieval in collaborative environments, standardizing access over direct SDK integrations.

Universal MCP server for accessing various databases including PostgreSQL, MySQL, SQL Server, SQLite via MCP protocol. Supports SQL query execution, CRUD, schema exploration for agent data retrieval. Compares favorably to direct SDKs by providing a consistent MCP gateway for multiple DB types.

Unified MCP server for database access and querying across multiple SQL databases like SQLite, PostgreSQL, MySQL/MariaDB, SQL Server. Features include CRUD operations, query execution, and schema manipulation via MCP. Suited for AI agent data retrieval, offering a single protocol alternative to multiple direct SDKs.

TypeScript-based MCP server for database interaction with ArangoDB, supporting core operations and integration with Claude app and VSCode extensions like Cline. Categorized under Databases.

Microsoft Dataverse MCP Server allows LLMs and AI agents to interact with business data in Dataverse using natural language via MCP. Key features include table discovery, advanced queries, CRUD operations, and custom context-grounded prompts. Perfect for enterprise AI assistants in CRM/ERP scenarios, offering semantic understanding beyond generic database agents like PostgreSQL MCP servers.

ClickHouse database integration with schema inspection and query capabilities. Apache-2 license.

A Go implementation of a Model Context Protocol (MCP) server for Trino. MIT license.

MCP server for AITable.ai automating data flows across apps, with workflow chaining and state management optimized for agent orchestration. Advantages over LangGraph include direct database automation in MCP environments.

Aurora DSQL MCP Server provides AI agents with direct SQL query access to Amazon Aurora databases via MCP. Key features include open-source implementation by AWS Labs, easy installation via uvx, and support for direct SQL execution. Use cases encompass AI-driven data retrieval and analysis; compared to general PostgreSQL MCP, it offers native AWS Aurora optimization and serverless compatibility.

Elastic MCP Server allows AI agents to interact with Elasticsearch databases through the Model Context Protocol. Key features include search and analytics query support tailored for Elastic. Suited for AI agent data retrieval in search-heavy use cases; differs from relational PostgreSQL MCP by focusing on full-text search and log analytics.

MCP Neo4j Server integrates AI agents with Neo4j graph databases via the Model Context Protocol, enabling Cypher queries and graph traversals. Key features include direct database interaction tools for LLMs. Suited for AI-driven graph data analysis and relationship mapping; contrasts with PostgreSQL MCP by focusing on graph structures rather than tabular data.

SchemaCrawler MCP Server connects AI agents to relational databases for schema exploration and valid SQL generation via the Model Context Protocol. Key features include querying database structures and interpreting column meanings without direct access. Ideal for AI-assisted database analysis and documentation; complements PostgreSQL MCP by focusing on metadata over data querying.

Supabase Query MCP enables comprehensive management of Supabase databases via chat interfaces, supporting read/write queries, management APIs, migrations, and logs. Key features include end-to-end operations for AI agents. Use cases cover full-stack Postgres management; builds on PostgreSQL MCP with Supabase-specific APIs and versioning.

Valkey MCP Server provides MCP access to Valkey, a Redis-compatible in-memory key-value store, developed by AWS Labs for key operations and caching. Key features include uvx installation and high-performance queries. Ideal for AI agent caching and real-time data; contrasts PostgreSQL MCP with in-memory speed over persistent storage.

Baserow database integration with table search, list, and row create, read, update, and delete capabilities via MCP. Unlicensed open-source project for no-code database operations.

Connects ClickHouse to your AI assistants, providing analytics capabilities through the Model Context Protocol.

Baserow database integration with table search, list, and row create, read, update, and delete capabilities. Unlicensed.

MS Access MDB interface for MCP, enabling AI assistants to work with legacy MS Access databases.

Airtable Model Context Protocol Server for allowing AI systems to interact with Airtable bases, enabling CRUD operations on Airtable records through standardized tools.

Read and write access to Airtable databases, with schema inspection capabilities for working with Airtable's relational database structure.

Airtable Model Context Protocol Server providing AI assistants with tools to read, write, and manage Airtable tables and records.

Search, create and update Airtable bases, tables, fields, and records using Claude Desktop and MCP clients, providing comprehensive Airtable database management for AI assistants.

Navigate your Aiven projects and interact with PostgreSQL®, Apache Kafka®, ClickHouse® and OpenSearch® services. This MCP server enables AI agents to manage and query cloud data services programmatically.

Comprehensive tools for managing collections and documents in a DataStax Astra DB NoSQL database with a full range of operations such as create, update, delete, find, and associated bulk actions.

MCP server providing controlled CRUD access to a database.

Convex's MCP server lets you introspect tables, call functions, and read/write data seamlessly. Agents can generate one-off queries safely through Convex's sandboxed queries, ensuring data integrity.

MCP tool that allows you to interact with MySQL databases.

Official Model Context Protocol server for Elasticsearch and OpenSearch, enabling AI assistants to interact with Elastic databases through standardized interfaces.

Full access PostgreSQL MCP server providing complete database control.

MCP server enabling LLM agents to interact with Gel databases, providing database query and management capabilities for AI assistants.

InterSystems IRIS MCP server providing database interaction capabilities through Model Context Protocol.

Connect to any JDBC-compatible database and perform query, insert, update, delete operations. Supports MySQL, PostgreSQL, Oracle, SQL Server, SQLite and more.

Model Context Protocol server enabling LLMs to interact with Couchbase databases, query buckets, execute N1QL queries, and manage data seamlessly through natural language.

Model context protocol for reading information from a database.

MCP server for getting schema information from a PostgreSQL database.

MCP PostgreSQL Server providing database interaction through Model Context Protocol.

PostgreSQL DB table access (CRUD support) available as MCP service.

MCP server for Microsoft SQL Server enabling secure database interactions through a controlled interface, allowing AI assistants to safely list tables, read data, and execute SQL queries.

MCP server facilitating secure interactions with MSSQL databases through Model Context Protocol.

MCP Server for MySQL databases enabling LLMs to interact with MySQL data through standardized tools.

MCP Server for MySQL enabling AI interaction with MySQL databases.

MCP Server for PostgreSQL databases.

Model Context Protocol server to access Oracle database, enabling LLMs to query and manage Oracle database instances through standardized tools.

MCP server for MS SQL Server enabling LLMs to interact with Microsoft SQL Server databases through standardized Model Context Protocol tools.

SQL Server MCP Server for Windsurf IDE providing standalone MCP server with SQL Server integration capabilities for AI assistants.

Model Context Protocol server enabling secure interaction with Membase.

An MCP server for Microsoft SQL Server that enables secure database interactions through a controlled interface. Allows AI assistants to safely list tables, read data, and execute SQL queries.

Full Featured MCP Server for MongoDB Databases, providing comprehensive database interaction capabilities including CRUD operations, aggregation pipelines, and schema introspection for AI assistants.

MCP server for MongoDB providing database interaction capabilities through the Model Context Protocol, enabling LLMs to query and manage MongoDB collections.

MongoDB server for the Model Context Protocol (MCP), enabling AI assistants to query and manage MongoDB databases through standardized tools.

Model Context Protocol server for MongoDB integration with Claude, enabling natural language database operations through MCP.

A Model Context Protocol (MCP) server for Microsoft SQL Server that enables secure database interactions through a controlled interface. Allows AI assistants to safely list tables, read data, and execute SQL queries while maintaining security and structure.

MySQL database MCP server enabling AI interaction with MySQL databases.

MCP server that enables secure interaction with MySQL databases through Model Context Protocol, allowing AI assistants to query and manage MySQL data.

A Model Context Protocol server for MySQL database operations. Provides AI assistants with tools to connect, query, insert, update, and manage MySQL databases through the Model Context Protocol.

MySQL implementation of the Model Context Protocol (MCP) server. This server allows AI models to interact with MySQL databases through a standardized interface.

MCP server about reading data from MySQL database.

An MCP server implementation that enables Claude AI to interact with MySQL databases.

An MCP server that enables natural language queries to databases. Allows users to interact with relational databases using conversational language, translating natural language into SQL queries through the Model Context Protocol.

Message Control Protocol (MCP) server implementation for interacting with NeoDB messaging database.

MCP server for Nile Database enabling LLMs to manage and query databases, tenants, users, and authentication through a standardized Model Context Protocol interface.

MCP server enabling secure interaction with OceanBase databases, allowing AI assistants to list tables, read data, and execute SQL queries through a controlled interface.

MCP Server for openGauss database and its tools, enabling LLMs to interact with the openGauss relational database through Model Context Protocol.

MCP server to connect to Oracle Database through Model Context Protocol.

Official Repository containing MCP servers that provide a suite of tools for managing and interacting with Oracle products through the Model Context Protocol.

Postgres MCP implementation for AI database interaction.

MCP server enabling end-to-end management of Supabase via chat interface. Supports read & write query executions, management API, automatic migration versioning, access to logs and more.

Supabase MCP server created in Python for AI assistant integration.

Model context protocol implementation granting LLMs access to make database queries and learn about Supabase types, enabling seamless integration with Supabase projects.

MCP server for TiDB, an open-source distributed SQL database, enabling LLMs to query and manage TiDB data through Model Context Protocol.

MCP server enabling natural language queries to databases through Text2SQL, powered by XGenerationLab research for accurate and efficient database interaction.

Managed open-source data infrastructure MCP server for Aiven, enabling AI agents to navigate projects and interact with PostgreSQL, Apache Kafka, ClickHouse, and OpenSearch services through natural language.

Official Meilisearch MCP server that bridges their search engine and AI assistants, enabling developers to manage search infrastructure through natural language with fast, typo-tolerant indexing and querying capabilities.

Zero-dependency, token-efficient MCP server for multiple databases including PostgreSQL, MySQL, MariaDB, SQL Server, and SQLite. Provides just two MCP tools to maximize context window while supporting multi-database operations.

Official Oracle Database MCP server providing native MCP support directly in SQLcl. Enables AI assistants to access and query any Oracle Database through the Model Context Protocol with full SQL capabilities.

Zero-dependency, token-efficient database MCP server supporting PostgreSQL, MySQL, SQL Server, MariaDB, and SQLite through a single unified interface for database operations and schema exploration.

Universal database Model Context Protocol server supporting SQLite, SQL Server, PostgreSQL, and MySQL databases through unified interface for comprehensive database operations and management via AI assistants.

Universal Model Context Protocol database server connecting AI assistants with SQLite, SQL Server, and PostgreSQL databases through unified interface for cross-database operations and multi-platform support.

Powerful PostgreSQL Model Context Protocol server redesigned from 46 individual tools to 17 intelligent consolidated tools for comprehensive database management, fully Docker-compatible for production environments.

An MCP server exposing MongoDB-compatible Amazon DocumentDB operations, enabling document database management and queries via the Model Context Protocol.

An MCP server that provides complete DynamoDB operations and table management, allowing MCP-aware tools and agents to interact with Amazon DynamoDB programmatically.

An MCP server enabling high-speed caching operations against Amazon ElastiCache for Memcached, accessible to MCP-compatible tools and agents.

An MCP server for Amazon Keyspaces, exposing Apache Cassandra–compatible operations for keyspace and table access via the Model Context Protocol.

An MCP server that provides graph database operations for Amazon Neptune with openCypher and Gremlin query support, integrating graph analytics into MCP ecosystems.

MCP server that exposes Amazon Timestream for InfluxDB with InfluxDB-compatible operations, allowing time-series workloads to be managed and queried via MCP.

An MCP Server for Microsoft Azure SQL Database, allowing Model Context Protocol clients to interact with managed Azure SQL databases in the cloud.

An MCP Server for bit.io, providing Model Context Protocol access to bit.io’s zero‑config, shareable cloud databases.

MCP Server for Caspio, exposing its no-code online database application platform to tools and agents using the Model Context Protocol.

An MCP Server for the Claris FileMaker Server Data API, exposing FileMaker databases to MCP clients so they can query and manipulate FileMaker-hosted data programmatically.

An MCP Server for CloudTables, providing MCP-based access to its no-code/low-code database-driven application platform for building and managing data tables with live updates and auditing.

An MCP server bridging to ClickZetta databases for executing SQL queries, exploring schema information, and documenting insights via natural language interaction.

Provides a JSON-RPC interface to Datomic databases through the MCP protocol, enabling schema exploration and Datalog query execution. This makes it a specialized MCP server for interacting with Datomic.

A Model Context Protocol (MCP) implementation for connecting to and working with various database systems, serving as a versatile MCP server.

An all-in-one MCP service that allows AI-powered data analysis by connecting to multiple types of databases (sqlite, mysql, postgres, etc.) within a single, unified configuration, making it a comprehensive MCP server solution.

MCP server for managing and interacting with Aiven projects, supporting PostgreSQL, Apache Kafka, ClickHouse, and OpenSearch services. Enables navigation and operations across multiple data services within the Aiven platform.

Couchbase MCP server for unified access to both Capella cloud and self-managed clusters, supporting document operations, SQL++ queries, and natural language analysis.

Enables direct SQL query execution against MSSQL databases through a FastMCP-powered server with Docker containerization, making it a relevant MCP server for database interaction and analysis.

A Model Context Protocol server enabling LLMs to interact with SQLite and SQL Server databases, supporting schema inspection and SQL query execution, as an exemplary database MCP server.

A Model Context Protocol server for MongoDB, enabling LLMs to query, insert, delete, and aggregate documents via natural language—demonstrating MCP server database integration.

Provides read and write access to Airtable databases via an MCP server, offering a simple and effective database integration for MCP applications.

MCP server implementation for Alibaba Cloud Tablestore, supporting document management, semantic and vector search, RAG-friendly, and serverless capabilities.

The official MCP bridge for Google BigQuery, enabling petabyte-scale analytics and integration with other MCP servers for advanced querying and automation.

An MCP server designed for querying and analyzing Azure Data Explorer databases, supporting time-series and analytics MCP use cases.