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207,082 tools. Last updated 2026-06-17 20:13

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

  • 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
  • Switches the active PostgreSQL server and database connection. Required before executing queries; specify server from list_servers and optionally select database and schema.
    MIT
  • Generate schema-aware query suggestions with ready-to-run SQL to help explore unfamiliar databases and find useful queries.
    MIT
  • Execute SQL queries (SELECT, INSERT, UPDATE, DELETE) against a database connection. Supports parameterized queries to prevent SQL injection.
    Apache 2.0

Matching MCP Servers

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    MCP server for connecting to databases (PostgreSQL, MySQL, SQL Server, Redis) enabling SQL queries, table exploration, and Redis key-value operations.
    Last updated
    1
    MIT
  • A
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    A Model Context Protocol server that provides read-only access to PostgreSQL databases with enhanced multi-schema support, allowing LLMs to inspect database schemas across multiple namespaces and execute read-only queries while maintaining schema isolation.
    Last updated
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    3
    MIT

Matching MCP Connectors

  • Describe database table columns: list column names, data types, primary keys, and foreign key relationships. Use before writing queries to understand table structure.
    Apache 2.0
  • 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
  • Load back-end generated starter queries for a schema or database derived from actual storage units, helping you explore unfamiliar databases.
    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
  • Find SQL string literals in Go source code with their enclosing function and file location. Optionally filter by SQL keyword or table name. Ideal for auditing database interactions and reviewing query performance.
    MIT
  • Retrieve the database schema for Logfire telemetry data, including table structures and column types, to construct efficient SQL queries.
    MIT