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306,019 tools. Last updated 2026-07-24 19:13

"A server for finding SQL query resources and examples" matching MCP tools:

  • Assembles a complete system prompt with database schema, object classes, properties, codelists, spatial context, and optional SQL examples and query guidelines.
    Apache 2.0
  • Generate schema-aware query suggestions with ready-to-run SQL to help explore unfamiliar databases and find useful queries.
    MIT
  • Get help and examples for Qase Query Language syntax, including operators, functions, entities, and practical query examples.
    MIT
  • Filter SQL query examples to only those matching object classes present in your database. Provide object class IDs to get relevant examples.
    Apache 2.0

Matching MCP Servers

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    An MCP server providing SQLite database access for AI agents, enabling SQL execution, schema inspection, CRUD operations, and data export.
    Last updated

Matching MCP Connectors

  • Architecture-grounded query for AI agents. Governance constraints, system dependencies, evidence.

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

  • Execute SQL queries on Apache Doris databases via the Doris MCP Server. Specify SQL statements, target database, row limits, and timeout settings for precise query handling and result retrieval.
    Apache 2.0
  • Analyze SQL query execution plans to optimize database performance and identify potential bottlenecks in Adb MySQL databases.
    Apache 2.0
  • Explains a SQL query against YDB by generating an execution plan, helping you understand and optimize query performance without executing it.
    Apache 2.0
  • Run SQL queries directly on Ontario's open data portals. Use for quick, one-off data retrieval from datastore-active resources.
    MIT
  • Validate SQL syntax, detect N+1 queries, duplicates, and other anti-patterns across single or batch SQL statements.
    MIT
  • Execute SQL SELECT queries to retrieve data from PostgreSQL databases. This read-only tool returns query results with rows, columns, and metadata for database analysis.
    MIT
  • Create a virtual SQL-based dataset from a validated query to enable charting in Preset. Register the query with a database ID to make data available for visualization.
    MIT
  • Record user feedback on generated SQL queries to improve future accuracy by seeding verified examples.
  • Retrieve complete WWDC session content including full transcript, code examples, and resources for offline access.
    MIT
  • Configure a new database source in the configuration file, including optional connection testing. Supports SQL Server and Snowflake via linked server.
    GPL 3.0