Search documents using semantic understanding to find relevant content based on meaning rather than keywords. Understands natural language queries and returns ranked passages with source information.
Search Google Maps places using natural-language queries to discover businesses, restaurants, and services. Supports multiple queries, async execution, and enrichments for deeper place data.
A Model Context Protocol (MCP) server that converts natural language queries into SQL statements, allowing users to query MySQL databases using conversational language instead of writing SQL code.
Read-only MySQL MCP server that lets AI agents list tables, describe schemas, and run SELECT/SHOW/EXPLAIN queries with a row cap, bound to a single database for safety.
Execute read-only SQL queries against PostgreSQL, MySQL, or SQL Server. Automatically adapts syntax to the target dialect. Returns results with connection and dialect metadata. Default limit 100 rows.
Find Beyond Identity API tools by keyword or natural-language query to discover which actions are available for managing identities, groups, applications, SSO, and credentials.
Run SQL queries to analyze, modify, or troubleshoot Heroku PostgreSQL databases. Execute commands or file-based queries with credential management for direct database access.
Process natural language queries to obtain structured data on leads, contacts, and opportunities. Supports table, natural, or combined response formats.
Scan SQL queries for injection, destructive operations, and PII extraction before execution. Blocks unsafe queries; allows safe ones. Use for LLM-generated or user-input SQL.
Retrieve best practices for code patterns and recommendations by searching across all guides or within a specific guide using natural language queries.
Turn natural-language questions into executed SQL queries against a database, returning results, row counts, and self-correcting errors while exploring the schema.