Data Analytics MCP Repositories

Enables natural language querying of databases through the BlazeSQL API, transforming plain English queries into SQL and JSON results. Facilitates seamless integration with MCP-compatible clients for enhanced data interaction.

Performs advanced analysis and visualization of CSV data using Gemini AI, enabling comprehensive data exploration and insights generation. Offers both basic and detailed analysis modes, including statistical evaluation, data quality assessment, correlation analysis, and pattern recognition.

Analyze website performance and capture screenshots using Playwright and Lighthouse. Gain insights into web application performance metrics with real-time analysis and visual feedback.

Access and manage Strava data, including recent activities, profile stats, and detailed activity streams. Supports exploration of segments, management of routes, and exporting route files in GPX or TCX format.

Store and retrieve text information with associated metadata using a Qdrant vector database. Supports semantic search capabilities and integrates with FastEmbed for enhanced text embeddings, all configurable via environment variables.

Interact with the Unstructured API to manage sources, destinations, and workflows. Provides tools for listing sources, and retrieving detailed information about specific source connectors.

Provides advanced forecasting and prediction capabilities to enhance decision-making processes with real-time insights. Integrates seamlessly with existing workflows for efficient data utilization.

Search for images on Pinterest using keywords and retrieve detailed information about those images.

Access and query information from large PDF files using a powerful retrieval-augmented generation (RAG) system that integrates with Claude. Utilize advanced document processing and vector storage to enhance data retrieval capabilities.

Enables product search across multiple e-commerce platforms, tracks product price histories, and performs specifications comparison (disabled in certain versions). Utilizes APIs from BigGo for data retrieval.

Leverage high-performance vector search and efficient knowledge storage to manage entities and relations. Provides semantic search capabilities and secure token-based authentication for connecting to remote libSQL databases.

Generates various types of charts based on provided data and styling parameters using QuickChart.io, enabling easy integration and customization for data visualization.

Extract transcripts from YouTube videos, summarize content using Gemini AI, and facilitate natural language queries about video content. Provides tools for YouTube video search and comment analysis.

Provides vector database capabilities for semantic search and document management, enabling storage and retrieval of documents along with their metadata.

Interface with the PapersWithCode API to retrieve information about research papers, authors, conferences, and methods. Utilize helper tools for enhancing the information processing and searching academic papers.

Provides access to a range of cryptocurrency data from CoinMarketCap, including listings, quotes, and market pairs. Supports smart caching and type-safe querying to enhance performance and usability.

Extract audio from various video platforms like YouTube and TikTok, and convert the audio to text using multiple transcription services. Supports asynchronous processing and speaker separation for enhanced video content analysis.

Retrieve detailed information about Azure resources across subscriptions using Resource Graph queries. Query Azure resources efficiently to enhance productivity in development environments.

Provides access to MLC Bakery functionalities through an MCP-compatible interface, enabling clients to search datasets, retrieve previews, and validate metadata efficiently. Facilitates interaction with MLC Bakery API tools for data exploration and management.

Provides advanced options analysis and strategy evaluation using options chain data, including Greeks calculations and risk metrics. Supports various trading strategies and offers insights into risk management.

Load and analyze Power BI (.pbix) files, explore data models, and access metadata and query languages to enhance data analysis workflows.

Fetches and processes LaTeX sources of arXiv papers, enabling AI models to accurately interpret mathematical content and equations without the limitations of PDF files.

Access Google Analytics 4 data to retrieve metrics on page views, user tracking, event analysis, and user behavior metrics such as session duration and bounce rate.

Analyzes HTML files and web pages to identify SEO issues and validate structured data schemas. Provides actionable recommendations for improving SEO quality directly through integrated tools without the need for a browser extension.

Provides standardized access to Shodan's internet scanning and reconnaissance capabilities, allowing users to query devices, services, DNS records, and vulnerabilities. Facilitates secure management of API keys and handles errors for reliable data retrieval.

Scrapes financial data, performs NLP algorithm analysis, and facilitates quantitative strategy backtesting. Integrates various components for automated financial data processing and insights extraction.

Extract structured data from websites using AI models by providing a URL and a clear prompt. It simplifies data extraction tasks and integrates with AI workflows for enhanced application capabilities.

Fetch and explore web content autonomously by navigating through documentation and web pages to extract relevant information. It supports recursive exploration and filters navigation links for content-rich pages.

This utility facilitates the extraction and structural examination of feedback metrics pertaining to digital entertainment software listed on the Steam platform. Drawing parallels with text analytics, which extracts insight from unstructured text, this tool processes raw player commentary. It systematically gathers both aggregated sentiment and specific textual reviews associated with a unique Steam application identifier (appid). The processed data supports concluding evaluations of product reception, aiding decisions regarding game assessment or comparative studies.

Serves a trained Random Forest model while integrating with the Bee Framework for enhanced interactivity. Facilitates easy implementation of machine learning models into applications.