531 AI tools for Query & move data
Data Analytics Stack for data-driven decisions. Includes PostgreSQL, ClickHouse, Grafana, and a Research Agent for insights.
Curated bundle of MCP servers, skills, and agents for building data pipelines with PostgreSQL, ClickHouse, and Airflow orchestration.
Automate web data collection with Firecrawl, Puppeteer, and Browserbase. Bypass bots and extract structured data for analysis.
Autonomous Analytics Reporter analyzes data, extracts metrics, identifies trends, and generates actionable reports with insights and recommendations.
Autonomous Data Engineer designs, builds, and optimizes data pipelines, ETL processes, and data warehouses for efficient data management at scale.
Autonomous agent that analyzes database systems, identifies bottlenecks, and implements optimization strategies across SQL/NoSQL databases, caching layers, and
Agent for SaaS database performance optimization, identifying bottlenecks and implementing improvements for multi-tenant environments.
Autonomous SQL database specialist for query optimization, schema design, and troubleshooting. Provides performance recommendations and efficient SQL solutions.
Autonomous API Testing Specialist for comprehensive performance, load, contract, and functional testing with detailed reports and actionable recommendations.
Expert agent for building intelligent active learning systems, optimizing data annotation workflows, and understanding active learning principles.
A VibeBaza skill template for creating Claude expertise in Agile project metrics analysis and dashboard design.
A reusable skill template from the VibeBaza open-source library that guides Claude Code with specialized expertise for a specific domain.
Design, implement, and optimize Azure Data Factory pipelines with expert guidance on architecture, activities, expressions, and best practices for scalable
Expert guidance on BigQuery table partitioning strategies for performance optimization.
Expert for blockchain analytics, transaction tracing, and forensic investigations. Extracts insights from on-chain data.
Blockchain Indexer Agent for high-performance, scalable extraction, transformation, and querying of blockchain data.
Expert agent for encoding categorical variables in machine learning with one-hot, target, binary, frequency, and embedding techniques to prevent data leakage
Expert agent for Change Data Capture (CDC) systems, designing reliable, scalable pipelines using log-based methods for real-time data sync.
Apache Gravitino MCP Server provides a FastMCP integration for Gravitino APIs, offering a simplified interface for metadata interaction.
MCP server connecting AI agents to 8,000+ Apify web scrapers for extracting data from social media, search engines, maps, e-commerce, and websites.
Apple Books MCP Server: Access book progress, highlights, and annotations.
Manage Aranet4 CO2 sensors with this MCP server. Scan devices, fetch and store data locally, and query historical measurements with visualizations.
MCP server exposing 43 ArangoDB tools for AI assistants: AQL queries, graph traversal, backup/restore, analytics, and content conversion with async Python
TypeScript MCP server that exposes ArangoDB database operations-AQL queries, document CRUD, collection management, and JSON backups-to AI clients via MCP tools.
Aviationstack MCP Server provides real-time and historical flight data, aircraft details, and airport/airline reference data via MCP tools.
Axiom MCP Server lets AI agents query logs, traces, and events using natural language and APL.
MCP server that connects AI assistants to Azure Data Explorer (ADX/Kusto) clusters, enabling KQL query execution, table discovery, schema inspection, and data
A CAMEL-AI system prompt that instructs an assistant to generate synthetic text embedding training data by creating diverse query-passage pairs for machine
Translation prompts from CAMEL-AI that configure AI assistants to perform language translation tasks with structured role-based instructions.
A Semantic Kernel prompt template that searches Microsoft Graph for email messages, enabling AI assistants to retrieve and query user email data
A prompt template that removes ungrounded entities from text while maintaining coherence, returning clean output with specified entities excised.
A prompt that enables AI to answer questions using personal context retrieved from your name, address, and secondary memory data for personalized responses.
LlamaIndex pack that generates differentially private synthetic datasets from sensitive data, preserving original attributes while minimizing performance
LlamaPack that creates a NebulaGraph query engine with multiple retrieval modes-vector, keyword, hybrid, and custom combo-for knowledge graph entity search.
Neo4j Query Engine Pack: Creates a Neo4j query engine and executes its query function.
A LlamaIndex pack that queries historical stock market data for ticker symbols using Yahoo Finance.
AI pack for hybrid search on time with Timescale Vector. Ideal for news, posts, and timestamped data.
A multi-step prompt workflow that validates SQL queries for correctness, security vulnerabilities, and best practices before execution in production
Optimize Realtime API for data-intensive function calls in conversational AI. Handle large payloads efficiently.
Classify transactions into predefined categories using zero-shot, embedding-based, or fine-tuned models. Handles labelled and unlabelled data.
Create a product recommendation chatbot using Retrieval Augmented Generation (RAG) with Neo4j graph database and LLMs. Reduce hallucinations and leverage your
