High-performance multi-database MCP server built with Golang, supporting MySQL & PostgreSQL, with tools for query execution, transaction management, and performance analysis.
Loading more......
A universal MCP server supporting multiple database types, such as PostgreSQL, Redshift, CockroachDB, MySQL, RDS MySQL, Microsoft SQL Server, BigQuery, Oracle DB, and SQLite.
A zero-dependency MySQL MCP server built in Go, offering configurable readonly mode and schema inspection.
MySQL MCP Server with configurable access controls, schema inspection, and security guidelines, supporting Model Context Protocol.
Node.js-based MCP server for secure MySQL database operations via the Model Context Protocol.
An MCP server enabling natural language querying, schema exploration, and data analysis for PostgreSQL databases. Useful for AI-driven database management and analytics within development projects.
A NodeJS-based MCP server for MySQL database integration with configurable access controls and schema inspection.
A high-performance multi-database MCP (Model Context Protocol) server built with Golang, designed to provide AI assistants with structured, unified access to multiple databases.
Multi-Database Support:
Dynamic Tool Generation:
Query Tools:
query_<db_id>: Execute SELECT queries and get results as tabular datasetsexecute_<db_id>: Run data manipulation statements (INSERT, UPDATE, DELETE)transaction_<db_id>: Begin, commit, and rollback transactionsSchema Tools:
schema_<db_id>: Get information about tables, columns, indexes, and foreign keysgenerate_schema_<db_id>: Generate SQL or code from database schemaPerformance Tools:
performance_<db_id>: Analyze query performance and get optimization suggestionsTimescaleDB Specialized Tools:
timescaledb_<db_id>: General TimescaleDB operationscreate_hypertable_<db_id>: Convert standard tables to hypertableslist_hypertables_<db_id>: List all hypertablestime_series_query_<db_id>: Execute optimized time-series queries with bucketingtime_series_analyze_<db_id>: Analyze time-series data patternscontinuous_aggregate_<db_id>: Create materialized views that auto-updaterefresh_continuous_aggregate_<db_id>: Manually refresh continuous aggregatesDeployment Options:
Configuration:
Clean Architecture:
Logging: