Skip to main content
Glama
522,936 tools. Updated 2026-09-06 13:28

"Techniques for Analyzing and Interacting with Large MS SQL Databases" matching MCP tools:

  • Generate schema-aware query suggestions with ready-to-run SQL to help explore unfamiliar databases and find useful queries.
    MIT
  • Retrieve available databases, tables, and field schemas before writing SQL queries to confirm existing structures.
    MIT
  • 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

Matching MCP Servers

  • F
    license
    Not graded
    quality
    C
    maintenance
    Enables LLMs and agents to interact with relational databases (SQL Server, MySQL, PostgreSQL) through MCP tools. Supports executing queries, inserting records, listing tables, and exposing database schemas with secure credential management.
    -

Matching MCP Connectors

  • Executes SQL in a real ephemeral database: rows, typed errors with suggestions, plans, diffs.

  • Rick and Morty MCP — wraps the Rick and Morty API (free, no auth)

  • Execute SQL queries or run saved cards against Metabase databases to fetch data. Supports custom SQL and card parameters with configurable row limits.
    MIT
    Destructive
  • Execute SQL SELECT queries on MySQL, Oracle, GaussDB, and DM8 databases with configurable row limits and database selection.
    MIT
  • Discover available databases on SQL Server by querying sys.databases, excluding system databases by default and respecting blocklist configurations to identify accessible data sources.
    Apache 2.0
  • Test SQL queries by automatically adding a row limit to prevent large result sets. Preview query results with a configurable maximum number of rows.
    MIT
  • Retrieve CUDA and host operation latency statistics, including percentiles for small databases and aggregate metrics for large databases. Works with live or saved tracing data.
    -
  • Execute a SELECT query across multiple databases and view results side by side for comparison.
    MIT
  • Compare two database schemas and generate the migration SQL needed to update the old schema to match the new one, without applying changes or analyzing blast radius.
    AGPL 3.0
  • List databases on a remote server, or list tables (SQL) and collections (MongoDB) for a given database. Supports MySQL, PostgreSQL, and MongoDB. Read-only operation.
    MIT
  • List the Azure SQL databases configured for this MCP server to identify available targets for performance monitoring and DBA operations.
    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
  • Execute SQL queries on Redshift databases to retrieve data, with large results stored in S3 for efficient handling.
    MIT
  • Retrieve all databases on a SQL Server instance, including names, IDs, states, and creation dates. Provide the server name obtained from list_servers.
    MIT