MCP Toolbox for Databases enables your agent to connect to your database.
Connects AI clients to MySQL for schema inspection and SQL queries, with opt-in writes and configurable database access controls.
Key Features: Read-only SQL access by default Schema and column metadata resource Opt-in insert, update, and delete permissions Query and inspect multiple database systems through one MCP interface with SQL, schema discovery, and database selection tools.
Key Features: Multi-database connection support SQL execution with markdown or JSON results Schema and table inspection 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 MCP access to Valkey and Redis monitoring data, including metrics, slow commands, hot keys, clients, and cluster health.
Key Features: Queries Valkey and Redis monitoring data Analyzes slow commands and hot keys MCP server for SQL syntax validation, linting, dialect conversion, and query analysis using SQLGlot.
Key Features: SQL syntax validation and linting SQL dialect transpilation (e.g., MySQL to PostgreSQL) Extraction of table and CTE references SQL-native query and provisioning engine for cloud infrastructure, served over MCP.
Connects MCP clients to InfluxDB 3 for querying, schema discovery, data writes, database management, and token operations.
Key Features: SQL and InfluxQL query tools Line-protocol data writes Database and schema discovery Connects an MCP client to MongoDB for schema inspection, queries, index management, and document changes.
Key Features: Collection schema inspection Filtered document queries Single-document CRUD operations Connects MCP-enabled AI applications to JDBC databases for querying and data modification.
Key Features: JDBC URL-based database connections Insert, update, and delete operations Manages Prisma Postgres databases through MCP, including migrations, SQL queries, backups, recovery, and schema inspection.
Key Features: Local Prisma CLI MCP server Remote Prisma Postgres MCP endpoint SQL execution and schema introspection Connects MCP clients to Redis for natural-language data management, search, JSON, streams, pub/sub, and vector queries.
Key Features: Manage strings, hashes, lists, sets, and sorted sets Read and process Redis Streams Store and manipulate JSON documents