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Key Features: Search directory of 3,000+ MCP servers Get install config and documentation by server ID List all MCP server categories with counts Open source MCP server providing prebuilt and custom AI tools for secure, efficient database access and interaction.
Key Features: Prebuilt generic database tools for instant use Custom tools framework for production-grade AI database tools Supports structured queries, semantic search, and NL2SQL Node.js MCP server enabling AI models to perform secure MySQL database operations via standardized tools.
Key Features: Secure connection handling with automatic cleanup Prepared statement support for query parameters Comprehensive error handling and validation MCP server enabling SQL query execution and schema inspection on DuckDB databases.
Key Features: Single unified query tool accepting any DuckDB SQL statement Supports read-only mode to prevent write operations Automatic creation of database file and directories if missing MCP server for Airtable with schema inspection and full read/write record and table management.
Key Features: List and describe Airtable bases and tables with detail levels Read, search, create, update, and delete records Create and update tables and fields with metadata MySQL MCP server with CRUD, anomaly analysis, role-based permissions, and extensible custom tools support.
Key Features: Supports all MCP transfer modes: STDIO, SSE, Streamable HTTP Role-based permissions: readonly, writer, admin Multiple SQL statements execution separated by semicolons Observability server for Valkey 8.x and Redis 6+, providing historical analytics, command logs, hot key tracking, and AI-era metrics.
Key Features: Persistent storage of slowlogs, client activity, and anomaly signals Native support for Valkey COMMANDLOG and cluster SLOT-STATS Per-thread CPU and I/O metrics visibility MCP server to run SQL queries, manage Supabase schemas, and access Supabase Management and Auth Admin APIs with safety controls.
Key Features: Supports stdio protocol for MCP clients (Cursor, Windsurf, Cline) Three-tier SQL safety system: safe, write, destructive Runtime SQL query validation with risk assessment MCP server exposing MongoDB collections with schema inference, query, aggregation, and optional read-only mode.
Key Features: Automatic schema inference from document samples Full query and aggregation pipeline support Configurable ObjectId conversion modes MCP server for Postgres with tools for index tuning, query plans, health checks, and safe SQL execution.
Key Features: Database health checks including index, vacuum, replication, and cache analysis Industrial-strength index tuning algorithms EXPLAIN plan validation and hypothetical index simulation SQL to PySpark conversion, AWS Glue job generation, and Spark code optimization.
Multi-model database with graph, document, key-value, time-series, vector support and SQL, Cypher, Gremlin, MongoDB query languages.
Key Features: Multi-model support: graph, document, key-value, time-series, vector Compatible with SQL, Cypher, Gremlin, MongoDB query languages ACID-compliant transactions 
Supabase Mcp Server