MCP server for querying MySQL or PostgreSQL databases with natural-language requests converted to SQL.
Key Features: Natural-language to SQL querying Connects MCP-compatible agents and IDEs to databases through prebuilt or custom tools.
Key Features: Custom YAML-defined tools Multi-database source support Connects MCP clients to MySQL for SQL execution, schema inspection, and small table samples.
Key Features: SQL execution with error handling Schema metadata inspection 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 Java MCP server providing generic JDBC connectivity to databases with schema, table, and query support.
Key Features: Retrieve database schemas and tables Describe detailed table metadata Filter tables by name substring 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 Connects AI clients to ODBC databases through SQLAlchemy for schema discovery, SQL queries, and Virtuoso-specific SPARQL operations.
Key Features: ODBC connectivity through SQLAlchemy and pyodbc Schema and table metadata discovery Table-name substring filtering MCP server providing tools to query, write, and manage InfluxDB 3 databases including Core, Enterprise, and Cloud editions.
Key Features: Execute bounded read-only SQL and InfluxQL queries with structured metadata Write data using InfluxDB line protocol Create, update, and delete databases with cloud-specific options Connects MCP clients to MySQL for parameterized queries, data changes, table listing, and schema inspection.
Key Features: Parameterized SELECT queries INSERT, UPDATE, and DELETE execution Table listing and schema inspection MCP server providing access to InfluxDB v2 via OSS API for querying, writing, and managing time-series data.
Key Features: Access organizations, buckets, and measurements as resources Execute Flux queries and return results Write data points in line protocol format 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 An MCP server enabling access to ODBC-compliant databases via configurable DSNs for querying and schema inspection.
Key Features: Execute SQL, SPARQL, and SPASQL queries returning JSONL or Markdown List database schemas and tables with optional filtering Describe table structure with column details and keys