Data Analytics MCP Repositories

MCP server for conducting OSINT username searches across various social networks and analyzing URLs to collect user account information from public sources.

Captures and visualizes browser game data in real-time using vectorized canvas outputs and detailed debug information. Integrates with AI models to enhance debugging and streamline development processes.

Enables natural language querying of live Adobe Analytics data, providing real-time insights without the need for SQL. Utilizes the CData JDBC Driver to expose Adobe Analytics data as relational SQL models for conversational queries.

Connects to Sci-Hub for searching, accessing, and analyzing academic papers. Supports retrieving metadata and downloading full-text PDFs programmatically.

Interact with Jupyter notebooks in a local JupyterLab environment, enabling the addition and execution of code or markdown cells.

Access Solana blockchain data using a variety of RPC methods, enabling retrieval of account balances, account information, and largest accounts within the network.

Interact with Salesforce by executing SOQL queries, managing records, and retrieving object metadata. Provides secure authentication handling and real-time data access for streamlined Salesforce integration.

Creates a vector store from local directories and files, enabling semantic search across document contents. Monitors specified directories for file changes and generates vector embeddings to facilitate search functionality.

Facilitates the creation, distribution, and analysis of surveys using SurveyMars APIs. Provides tools for managing unlimited surveys, questions, and responses while offering advanced analytics for insights.

Connects Claude to Umami analytics data to analyze user behavior and track website performance. Provides tools for monitoring real-time visitor activity, capturing webpage content, and generating insights from historical data.

Automates resume updates by analyzing coding projects and extracting relevant skills and project details. Enhances JSON Resume by integrating data directly from codebases with AI assistance.

Crawl, index, and manage documentation while enabling full-text search across various document formats for efficient information retrieval. Integrates with AI to enhance document access and management capabilities.

The MySQL MCP Server allows users to connect to MySQL databases safely and execute read-only queries. It retrieves database structure and data in JSON format, making it easier for applications to access live data without modifying it.

Interact with the Unstructured API to manage sources, destinations, workflows, and jobs. Provides tools to list, create, update, and delete connectors and workflows, facilitating efficient data processing tasks.

Integrates documentation with a powerful API for efficient management and access. Facilitates the development of intelligent applications that seamlessly interact with documentation.

Connect and query local DuckDB and cloud-based MotherDuck databases. Provides SQL analytics capabilities and integrates with cloud storage for data access and sharing.

Manage and query knowledge about code repositories using advanced embedding techniques. This tool facilitates the organization and retrieval of insights related to a codebase through vector embeddings.

Provides up-to-date NBA game scores and player statistics, enabling retrieval of game summaries, player performance metrics, and advanced analytics. Keeps AI models informed with accurate and timely NBA data.

Simulates AI-driven investor personas inspired by notable venture capitalists, providing investment analysis and decision-making support. Integrates private market data for enhanced realism, facilitating feedback on pitches, diligence simulations, and term sheet negotiations.

Enables integration with Teradata databases, facilitating execution of SQL queries, database management, and interactive exploration of database objects. Supports standard input/output and server-sent events for communication with AI agents and tools.

Retrieve and analyze issues from Sentry accounts, enabling inspection of error reports, stack traces, and debugging information to enhance application reliability.

Upload documents in PDF or CSV formats and perform natural language queries to retrieve relevant information. It features document segmentation and embedding storage using a Chroma vector store for efficient retrieval.

Access sports data from The Sports DB to retrieve real-time and historical sports information, enhancing conversational agents and workflows with dynamic sports-related content.

Connects to the Databricks API to run SQL queries, list jobs, and check job statuses within a Databricks environment. Enables natural language interaction for data management and analysis.

Access and query Ethereum blockchain data with flexible options and multiple output formats using a powerful blockchain data extraction API server. Extract real-time insights from blockchain data easily through MCP-compatible clients.

Connect to Trino to list tables, read data, and execute SQL queries. Provides a controlled interface for big data analytics through seamless interaction with AI models.

Enhances biomedical research through advanced protein structure analysis, enabling the examination of protein active sites and the discovery of disease-related proteins. It integrates with established protein databases for reliable insights and data access.

Set up a local MCP server to interact with a simple database and mock data. Manage resources such as users and posts while utilizing reusable prompts for efficient LLM interactions.

A server for launching and managing Solana tokens with integrated AI features for token concept generation, image creation, and DNA sequence generation for unique identifiers.

Manage ledger files by accessing account balances, transaction histories, and account listings. Facilitate financial tracking and reporting through efficient ledger management tools.