Lists all databases or schemas in a Teradata system, with options to filter user-created databases or include all, and persist results as a volatile table.
MIT
471,144 tools. Updated 2026-08-23 21:25
"A system for querying databases using natural language" matching MCP tools:
- Show total disk space usage across all databases in the Teradata system. Use to check overall warehouse storage capacity and disk consumption.MIT
- Retrieve a paginated list of MySQL databases for an Agency Plan website, showing each database's non-system users.MIT
- Search memories by natural language query with optional tag filtering and score explanation.MIT
- Generate an OPC UA YAML model from a natural language description using AI. Automatically detects companion specs and validates the model.MIT
- Search stored memories using natural language queries. Filter by tags and set a minimum similarity score.MIT
Matching MCP Servers
- FlicenseNot gradedqualityCmaintenanceA 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.2
- FlicenseNot gradedqualityCmaintenanceEnables 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
FEMA disasters, NOAA weather alerts, USGS earthquakes. 4 tools.
Build and manage your design system with AI: tokens, themes, components, icons, Figma and code.
- Fetch recent transactions for any wallet address on a blockchain network, with natural language descriptions to quickly understand activity.MIT
- Search a product catalog using keywords or natural language queries. Retrieve matching products with title, price, availability, merchant, and URL.MIT
- Find Claude Code Skills by describing your task in natural language. Returns semantically matched results to help you discover relevant skills.MIT
- Query a RAGflow knowledge base using natural language. Filter results by dataset IDs for targeted information retrieval.MIT
- Converts natural language questions into SELECT SQL queries for specified databases, enabling intuitive data retrieval without manual query writing.Apache 2.0
- Find JustSerpAPI endpoint candidates using natural language. Returns endpoint IDs for schema inspection.MIT
- Define extraction instructions to structure documents into typed records, optionally linked to a folder, for natural language querying.MIT
- Search for people profiles using natural language queries across LinkedIn, GitHub, and StackOverflow. Optionally enrich LinkedIn profiles with contact information.MIT
- Search for LPM packages using natural language or structured filters. Find packages by category, ecosystem, distribution, license, and more.ISC
- Ask questions to a project's survey panel filtered by demographics and survey answers using natural language, enabling targeted research insights.MIT
- Generates executable trading strategy code from a natural language description, enabling traders to automate their ideas without manual coding.MIT
- Convert natural language descriptions into standardized file names using AI-driven naming conventions for microservices architecture.MIT
- Retrieve historical token prices using natural language time frames like 'last week' or 'past 7 days', with optional interval selection.MIT
- Search space regulatory filings by meaning using natural language queries. Uses semantic embeddings to find relevant filings beyond exact keyword matches.MIT