Extract structured data from web pages using JSON schemas or natural language prompts, automatically bypassing bot protection when detected.
AGPL 3.0
213,279 tools. Last updated 2026-06-19 14:30
"A system for querying databases using natural language" matching MCP tools:
- Find Claude Code Skills by describing your task in natural language. Returns semantically matched results to help you discover relevant skills.MIT
- Search a product catalog using keywords or natural language queries. Retrieve matching products with title, price, availability, merchant, and URL.MIT
- Converts natural language questions into SELECT SQL queries for specified databases, enabling intuitive data retrieval without manual query writing.Apache 2.0
- List databases in Teradata, filtering by user-created or all databases, with option to persist results as a volatile table.MIT
- Create a new sift with natural language extraction instructions to structure documents into typed records for querying.MIT
Matching MCP Servers
- Flicense-qualityCmaintenanceA 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.Last updated2
- Alicense-quality-maintenanceProvides tools and resources to detect AI-generated writing patterns and refine text for more authentic, human-like communication. It enables users to analyze phrasing via a scoring system and apply conversational guides tailored for platforms like Twitter and LinkedIn.Last updated1
Matching MCP Connectors
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Build and manage your design system with AI: tokens, themes, components, icons, Figma and code.
- Ask questions to a project's survey panel filtered by demographics and survey answers using natural language, enabling targeted research insights.MIT
- Search for LPM packages using natural language or structured filters. Find packages by category, ecosystem, distribution, license, and more.ISC
- 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
- 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
- Lists all available memory databases and shows current storage location. Use to discover existing databases before querying them.MIT
- Search for companies using natural language queries to discover businesses by industry, location, funding stage, and other criteria.MIT
- Perform semantic search for skills using natural language queries. Describe what you want to accomplish when keywords aren't sufficient to find relevant skills.MIT
- Discover accessible databases on SQL Server by querying sys.databases, excluding system and blocked databases by default, with options to include system databases.Apache 2.0
- Search a curated knowledge base using semantic understanding of natural language queries, with optional stack filtering for boosted relevance.MIT
- Search for SMS service codes using natural language queries. Enter a service name like 'uber' or 'binance' to get matching service codes with similarity scores.MIT
- Locate webpage elements using natural language descriptions like "login button" or "search input" to enable automated browser interactions.MIT
- Search a knowledge store using natural language queries to retrieve relevant objects from specified collections.MIT
- List all databases in your Azure CosmosDB account to discover available databases before querying containers. Returns database IDs, timestamps, and ETags.MIT