# Sql

> Browse 66 items tagged with Sql.

## Items

- [Oracle Autonomous AI Database MCP Server](https://mcpserver.ever.works/th/items/oracle-autonomous-ai-database-mcp-server) — Oracle Autonomous AI Database MCP Server is a built-in, multi-tenant MCP server in Oracle's Autonomous AI Database Serverless (19c/26ai), exposing endpoints for AI agents to invoke Select AI Agent tools. Key features include native integration, enterprise security (RBAC, encryption, VPD), and OCI console management without standalone infrastructure. Ideal for governed AI data access in enterprise environments; surpasses open-source PostgreSQL MCP with deep Oracle security and multi-tenancy.
- [Snowflake Managed MCP Server](https://mcpserver.ever.works/th/items/snowflake-managed-mcp-server) — Snowflake's managed MCP server providing AI agents with secure, governed access to data through OAuth authentication and RBAC. Supports Cortex Analyst, Cortex Search, Cortex Agents, custom tools, and SQL executions.
- [dbt MCP Server](https://mcpserver.ever.works/th/items/dbt-mcp-server) — Data transformation platform integration connecting dbt projects to AI workflows with metadata discovery, semantic layer integration, and execution engine. Enables conversational analytics, project refactoring, and AI-driven analytics engineering.
- [SQLite Cloud MCP Server](https://mcpserver.ever.works/th/items/sqlitecloud-mcp-server) — 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.
- [BigQuery MCP](https://mcpserver.ever.works/th/items/bigquery-mcp) — MCP server for Google BigQuery data warehouse, supporting read-write SQL queries.
- [DBHub (Universal Database Gateway)](https://mcpserver.ever.works/th/items/dbhub-universal-database-gateway) — Universal database gateway to view SQLite database, run SQL queries & browse tables. Secure, safe, and easy-to-use.
- [Access COM](https://mcpserver.ever.works/th/items/access-com) — Facilitates seamless interaction with 32-bit Microsoft Access databases through a Model Context Protocol tool, supporting SQL queries and linked table management.
- [AnyQuery](https://mcpserver.ever.works/th/items/anyquery) — 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.
- [Apache IoTDB MCP Server](https://mcpserver.ever.works/th/items/apache-iotdb-mcp-server) — Facilitates database interaction and business intelligence through IoTDB with SQL query execution capabilities.
- [PostgreSQL MCP Server](https://mcpserver.ever.works/th/items/postgresql-mcp-server) — MCP server providing direct execution access to PostgreSQL databases. Agents can inspect schemas and run SELECT statements to answer questions about data instantly. Supports Docker deployment for self-hosting.
- [SQL MCP](https://mcpserver.ever.works/th/items/sql-mcp) — Facilitates secure, read-only interactions between LLMs and SQL databases using MCP tools.
- [IoTDB MCP Server TreeModel](https://mcpserver.ever.works/th/items/xiangmy21-iotdb-mcp-server-treemodel) — Facilitates database interaction and business intelligence through IoTDB with SQL query execution capabilities. Supports TreeModel for structured IoT data analysis.
- [iotdb-mcp-server-TreeModel](https://mcpserver.ever.works/th/items/iotdb-mcp-server-treemodel) — Facilitates database interaction and business intelligence through IoTDB with SQL query execution capabilities. Provides AI agents access to time-series IoT data via MCP.
- [BigQuery MCP Server](https://mcpserver.ever.works/th/items/bigquery-mcp-server) — MCP server bridging AI assistants to Google BigQuery cloud data warehouse. Enables natural language queries, data analysis, and warehouse management while maintaining security controls and cost governance.
- [ClickHouse MCP Server](https://mcpserver.ever.works/th/items/clickhouse-mcp-server) — 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.
- [PostgreSQL MCP Server](https://mcpserver.ever.works/th/items/postgres-mcp-server) — 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.
- [Allizwell MySQL MCP Server](https://mcpserver.ever.works/th/items/allizwell-mysql-mcp-server) — Allizwell MySQL MCP Server provides secure read-only access and querying to MySQL databases via MCP. Supports SQL queries, listing databases/tables with security features. Ideal for AI agent data retrieval securely, as an MCP alternative to direct MySQL SDKs.
- [Baserow MCP Server](https://mcpserver.ever.works/th/items/baserow-mcp-server) — 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.
- [Database](https://mcpserver.ever.works/th/items/database) — 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.
- [Database MCP Server](https://mcpserver.ever.works/th/items/database-mcp-server) — 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.
- [MCP Server Unity Catalog](https://mcpserver.ever.works/th/items/mcp-server-unity-catalog) — Unity Catalog MCP Server enables querying and governance of Databricks data assets via MCP protocol. Features SQL-based CRUD and discovery across catalogs and tables. Enables AI agent data retrieval in governed environments, unlike direct SDKs which lack MCP compatibility.
- [mcp-postgres-server](https://mcpserver.ever.works/th/items/mcp-postgres-server) — MCP PostgreSQL Server for secure database interactions. Allows AI assistants to list tables, read data, and execute SQL queries.
- [Aurora DSQL MCP Server](https://mcpserver.ever.works/th/items/aurora-dsql-mcp-server) — 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.
- [NihFix.Postgres.Mcp](https://mcpserver.ever.works/th/items/nihfixpostgresmcp) — NihFix.Postgres.Mcp enables real-time interactions between AI agents and PostgreSQL databases using SSE and STDIO protocols via MCP. Key features include live query execution and streaming responses. Use cases involve dynamic AI agent data access; similar to other PostgreSQL MCP servers but emphasizes real-time SSE connectivity.
- [Prisma MCP Server](https://mcpserver.ever.works/th/items/prisma-mcp-server) — Prisma MCP Server facilitates AI interactions with Prisma for database schema management, ORM operations, Postgres handling, and schema migrations. Key features include Prisma Console integration and official support. Use cases span AI-assisted database development; differs from raw PostgreSQL MCP by adding ORM layer for safer, typed queries.
- [SchemaCrawler](https://mcpserver.ever.works/th/items/schemacrawler) — 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.
- [SchemaFlow](https://mcpserver.ever.works/th/items/schemaflow) — SchemaFlow MCP Server delivers real-time PostgreSQL and Supabase database schema access to AI-IDEs through secure SSE connections via MCP. Key features include tools like get_schema, analyze_database, and check_schema_alignment for live context. Suited for AI agent development workflows; extends PostgreSQL MCP with real-time schema monitoring and Supabase integration.
- [SQLite MCP Server](https://mcpserver.ever.works/th/items/sqlite-mcp-server) — SQLite MCP Server offers safe, read-only access to SQLite databases for LLMs via the Model Context Protocol, using FastMCP with query validation. Key features emphasize security and exploration without write risks. Perfect for lightweight AI agent data retrieval; lighter alternative to PostgreSQL MCP for embedded, file-based databases.
- [Supabase Query MCP](https://mcpserver.ever.works/th/items/supabase-query-mcp) — 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.
- [PostgreSQL MCP](https://mcpserver.ever.works/th/items/postgresql-mcp) — MCP server providing LLMs with direct execution access to PostgreSQL databases. Enables agents to inspect schemas and run SELECT statements for instant natural language data queries. Supports Docker for self-hosting.
- [mysql_mcp_server](https://mcpserver.ever.works/th/items/mysql_mcp_server) — Facilitates secure interaction between AI applications and MySQL databases through a structured MCP interface.
- [PostgreSQL MCP by CrystalDBA](https://mcpserver.ever.works/th/items/postgresql-mcp-by-crystaldba) — MCP server providing direct execution access to PostgreSQL databases. Allows LLMs to inspect schemas and run SELECT statements for instant data querying without manual query writing. Supports Docker deployment for self-hosting.
- [Bytebase Universal Database MCP Server](https://mcpserver.ever.works/th/items/bytebase-universal-database-mcp-server) — Universal database MCP server connecting to MySQL, PostgreSQL, SQL Server, MariaDB, and SQLite through a single interface. Enables AI assistants to interact with multiple database types.
- [CockroachDB MCP](https://mcpserver.ever.works/th/items/cockroachdb-mcp) — MCP server enabling AI agents and LLMs to manage, monitor, and query CockroachDB using natural language.
- [Databricks MCP](https://mcpserver.ever.works/th/items/databricks-mcp) — Allows LLMs to run SQL queries, list and get details of jobs executions in a Databricks account for data engineering and analytics.
- [Firebird MCP Server](https://mcpserver.ever.works/th/items/firebird-mcp-server) — Model Context Protocol server for Firebird databases enabling read-only SQL queries and schema exploration through standardized MCP tools.
- [MariaDB](https://mcpserver.ever.works/th/items/mariadb) — MCP server providing a standard interface for managing and querying MariaDB databases, supporting both standard SQL operations and advanced vector/embedding-based search.
- [MCP PostgreSQL Server (antonorlov)](https://mcpserver.ever.works/th/items/mcp-postgresql-server-antonorlov) — MCP PostgreSQL Server providing database interaction through Model Context Protocol.
- [MCP Server for MySQL](https://mcpserver.ever.works/th/items/mcp-server-for-mysql) — MCP Server for MySQL databases enabling LLMs to interact with MySQL data through standardized tools.
- [MCP Server for MySQL (kaulvimal)](https://mcpserver.ever.works/th/items/mcp-server-for-mysql-kaulvimal) — MCP Server for MySQL enabling AI interaction with MySQL databases.
- [MCP Server for MySQL (yuru-sha)](https://mcpserver.ever.works/th/items/mcp-server-for-mysql-yuru-sha) — MCP Server for PostgreSQL databases.
- [MCP Server MariaDB](https://mcpserver.ever.works/th/items/mcp-server-mariadb) — MCP server providing read-only access to MariaDB databases, enabling AI assistants to inspect schemas and execute SQL queries safely.
- [Microsoft SQL Server MCP](https://mcpserver.ever.works/th/items/microsoft-sql-server-mcp) — 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.
- [MySQL MCP (Liu-creators)](https://mcpserver.ever.works/th/items/mysql-mcp-liu-creators) — MySQL database MCP server enabling AI interaction with MySQL databases.
- [MySQL MCP Server (designcomputer)](https://mcpserver.ever.works/th/items/mysql-mcp-server-designcomputer) — MCP server that enables secure interaction with MySQL databases through Model Context Protocol, allowing AI assistants to query and manage MySQL data.
- [Natural Language Database Query MCP Server](https://mcpserver.ever.works/th/items/natural-language-database-query-mcp) — 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.
- [OceanBase](https://mcpserver.ever.works/th/items/oceanbase) — MCP Server for OceanBase database and its tools, enabling AI agents to interact with OceanBase's distributed database capabilities.
- [OceanBase MCP Server](https://mcpserver.ever.works/th/items/oceanbase-mcp-server) — MCP server enabling secure interaction with OceanBase databases, allowing AI assistants to list tables, read data, and execute SQL queries through a controlled interface.
- [Oracle](https://mcpserver.ever.works/th/items/oracle) — Official MCP server for Oracle Database via SQLcl, enabling all access to any Oracle Database through native MCP support for database operations and querying.
- [Relational Database MCP](https://mcpserver.ever.works/th/items/relational-database-mcp) — An MCP server that gives the LLM access to and knowledge about relational databases like SQLite, PostgreSQL, MySQL, MariaDB, Oracle, and MS-SQL databases.
- [Snowflake MCP Server](https://mcpserver.ever.works/th/items/snowflake-mcp-server) — Snowflake database integration with read/write capabilities and insight tracking, enabling AI agents to query and interact with Snowflake data warehouses.
- [CockroachDB MCP Server](https://mcpserver.ever.works/th/items/cockroachdb-mcp-server) — Distributed SQL database MCP server for CockroachDB, providing AI agents with globally distributed, resilient database operations with PostgreSQL compatibility and multi-region capabilities.
- [DBHub Multi-Database MCP](https://mcpserver.ever.works/th/items/dbhub-multi-database-mcp) — 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.
- [Oracle Database SQLcl MCP Server](https://mcpserver.ever.works/th/items/oracle-database-sqlcl-mcp-server) — 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.
- [DBHub MCP Server](https://mcpserver.ever.works/th/items/dbhub-mcp-server) — 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.
- [Execute Automation Database MCP Server](https://mcpserver.ever.works/th/items/execute-automation-database-mcp-server) — 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.
- [MCP Multi-Database Server](https://mcpserver.ever.works/th/items/mcp-multi-database-server) — 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.
- [PostgreSQL MCP Server Pro](https://mcpserver.ever.works/th/items/postgresql-mcp-server-pro) — 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.
- [AWS Athena MCP Server](https://mcpserver.ever.works/th/items/aws-athena-mcp-server) — An MCP server for AWS Athena that allows running SQL queries on Glue Catalog tables through MCP tools.
- [AWS S3 Tables MCP Server](https://mcpserver.ever.works/th/items/aws-s3-tables-mcp-server) — An MCP server to manage, query, and ingest S3-based tables, with SQL querying, CSV-to-table conversion, and metadata discovery.
- [Azure SQL Database MCP Server](https://mcpserver.ever.works/th/items/azure-sql-database-mcp-server) — An MCP Server for Microsoft Azure SQL Database, allowing Model Context Protocol clients to interact with managed Azure SQL databases in the cloud.
- [bit.io MCP Server](https://mcpserver.ever.works/th/items/bitio-mcp-server) — An MCP Server for bit.io, providing Model Context Protocol access to bit.io’s zero‑config, shareable cloud databases.
- [Cedarscript MCP](https://mcpserver.ever.works/th/items/cedarscript-mcp) — Implements CEDARScript, a SQL-like language, as an MCP server for code manipulation, showcasing the adaptability of MCP servers for language and code-based tasks.
- [Clickzetta Server](https://mcpserver.ever.works/th/items/clickzetta-server) — An MCP server bridging to ClickZetta databases for executing SQL queries, exploring schema information, and documenting insights via natural language interaction.
- [database-server-executeautomation](https://mcpserver.ever.works/th/items/database-server-executeautomation) — 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.
- [databricks-server](https://mcpserver.ever.works/th/items/databricks-server) — A Model Context Protocol (MCP) server for executing SQL queries against Databricks using the Statement Execution API. Enables AI assistants to directly query Databricks data warehouses, analyze schemas, and retrieve structured results.

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_Canonical page: https://mcpserver.ever.works/th/tags/sql_