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459,989 tools. Updated 2026-08-17 10:52

"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
  • Execute parameterized SQL against PostgreSQL, with read-only by default and optional write support. Prevents SQL injection and truncates large result sets.
    MIT

Matching MCP Servers

  • F
    license
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    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
  • 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
  • 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
  • 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
  • Migrates pending databases to current schema by creating fresh databases from new SQL, transferring data via ATTACH, and returning temporary paths for verification.
    MIT
  • Execute a single SQL statement for PostgreSQL or MySQL databases with positional parameters. Use placeholders $1, $2 for PostgreSQL and ? for MySQL.
    MIT
  • Fetch detailed information for Metabase models including Cards, Dashboards, Tables, Databases, Collections, and Fields. Supports batch retrieval of up to 50 IDs with concurrent processing and table pagination for large datasets.
    MIT