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523,718 tools. Updated 2026-09-06 13:58

"Connecting to PostgreSQL database, retrieving table schema, and executing SQL queries" matching MCP tools:

  • Retrieve the archive database schema, including table and column names. Understand available data for crafting SQL queries.
    Apache 2.0
  • Run SQL queries to analyze, modify, or troubleshoot Heroku PostgreSQL databases. Execute commands or file-based queries with credential management for direct database access.
    Apache 2.0
  • Validate SQL query syntax without executing it. Uses an EXPLAIN-like check to confirm the query is valid for the target database. Works with engines like PostgreSQL.
    MIT
  • Execute SQL queries via Superset's SQL Lab to retrieve data. Provide database ID and SQL; set schema, catalog, or template params as needed.
    MIT
  • Switches the active PostgreSQL server and database connection. Required before executing queries; specify server from list_servers and optionally select database and schema.
    MIT

Matching MCP Servers

  • A
    license
    Not graded
    quality
    A
    maintenance
    MCP server that connects to SQL databases (SQLite, PostgreSQL, MSSQL, MySQL) and provides tools to run read-only queries, list schemas/tables, and manage connections via stdio transport.
    Apache 2.0
  • A
    license
    Not graded
    quality
    C
    maintenance
    MCP server that translates natural-language questions into SQL, validates every query structurally, and executes approved read-only queries against a SQLite database, returning results and rejections.
    MIT

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  • Execute a read-only SQL query against a stand's PostgreSQL database by providing the stand name and schema-qualified query.
    MIT
  • Execute SQL SELECT queries to retrieve data from Snowflake databases using fully qualified table names, including database, schema, and table details for accurate results.
    MIT
  • Analyzes SQL queries, table schemas, migrations, and index performance to identify issues and optimize database behavior.
    -
  • Generate schema-aware query suggestions with ready-to-run SQL to help explore unfamiliar databases and find useful queries.
    MIT
  • Describe database table columns, primary key, foreign keys, and indexes by querying the live catalog. Use before writing SQL joins or dashboard queries to verify column names and types.
    MIT
  • Generate SQL migration scripts by comparing database schemas. Compare live databases or a database against target DDL to create ALTER statements for schema updates.
    MIT
  • Execute SQL queries against a database connection, including SELECT, INSERT, UPDATE, DELETE, with parameterized inputs to prevent SQL injection.
    Apache 2.0
  • Generate starter queries for a database schema to quickly orient yourself in unfamiliar databases and begin exploration.
    Apache 2.0
  • Retrieve counts, labels, edge types, and schema of your graph database to understand its state before writing queries or after mutations.
    Apache 2.0
  • Inspect table metadata including columns, row count, byte count, project, and organization to verify schema before writing SQL queries.
    MIT