Data Analytics MCP Repositories

Enables AI tools to retain and utilize user-specific information across multiple conversations by leveraging a local knowledge graph for persistent memory management.

Analyze large codebases effectively using Gemini's extensive context window while connecting with IDEs such as Cursor and Windsurf. Load the entire codebase from a single file and query it for insights effortlessly.

Provides tools for open source intelligence investigations, enabling WHOIS lookups, Nmap scans, DNS reconnaissance, and domain permutation checks. Supports executing multiple OSINT tasks in parallel for a comprehensive data analysis.

Facilitates data interaction with Redash by connecting AI assistants to execute queries, manage dashboards, and retrieve insights via the Redash API.

Analyze and ingest Git repositories to produce structured text digests of their codebases, providing summaries, file structures, and content. Customize file filtering and branch selection for tailored analysis.

Provides stock market data retrieval and analysis, enabling queries for stock basics, financial reports, and intelligent searches based on stock codes and names.

Monitor whale movements and wallet activities across multiple blockchain networks with real-time transaction insights and advanced analytics capabilities. Supports multiple blockchains and offers a REST API for data interaction.

Provides powerful search capabilities for Jewish texts and literature through a standardized interface, enabling complex queries and relevance-based scoring for rich search results.

Integrates real-time market data and manages user profiles while facilitating betting operations and market tools through a TypeScript-based server implementing the Model Context Protocol (MCP). Provides a robust interface for handling market data, categories, and user information.

Track and manage cryptocurrency portfolios with real-time price updates, generate visual charts of portfolio value, and perform analysis on diversification and risk strategies.

Utilizes Google's Gemini model to facilitate analytical thinking and problem-solving by breaking down complex issues into manageable steps, providing insights and alternative approaches while maintaining session persistence for continuous analysis.

Integrates Microsoft Teams messaging with MCP-compatible clients, providing advanced search capabilities and persistent storage for chat history. Enables live event streaming and rich interaction through a CLI and MCP tools without relying on REST APIs.

Integrate AI assistants with Metabase to access dashboards, questions, and databases. Execute queries and retrieve structured data for enhanced data-driven decision-making.

Enables agents to perform observability-assisted code reviews and identify code inefficiencies through dynamic code analysis. Leverages runtime usage data from distributed tracing to detect issues and improve application performance.

Transforms natural language prompts into real-time domain, IP, and FQDN reconnaissance queries, accessing Censys data for enhanced cybersecurity investigations.

Connects Claude to the internet to gather high-quality information from websites using LSD SQL. Enables complex queries and actions while allowing Claude to self-correct SQL commands and interact with cloud browsers.

Showcases implementations of the Model Context Protocol to facilitate secure access for Large Language Models to various tools and data sources. It demonstrates the extensibility of MCP through its reference servers implemented using the Typescript or Python SDKs.

Interact with FamilySearch's family history data seamlessly. Search for person records, view detailed information, and explore ancestors and descendants using AI tools. Authenticate securely and access historical records with ease.

Provides access to real-time and historical Crypto Fear & Greed Index data for market sentiment analysis and trend evaluation. Users can retrieve the latest index values and analyze historical trends over specified periods.

Access live match data and comprehensive football statistics for leagues, teams, and players. Retrieve real-time information and historical data to enhance applications with up-to-date football insights.

Provides real-time and historical Bitcoin market data from Binance, enabling access to ticker data, order book prices, recent trades, and price history through a standardized interface. Streams short-duration real-time Bitcoin price updates for market insights.

Access Naver DataLab data through an MCP server interface, enabling queries and the use of analytics in AI applications. Supports retrieval and manipulation of Naver DataLab insights for data-driven decision making.

Query the dbt Semantic Layer API to seamlessly access and utilize defined business metrics across various data tools. Provides a unified approach to metric definitions and simplifies data querying for team members.

Connect to various data sources for AI-powered data analysis and execute SQL queries to generate insights and visualizations. Provide textual and tabular summaries, allowing natural language questions to explore and analyze data without coding knowledge.

Calculate carbon emissions in real-time and provide climate impact insights by integrating with the Climatiq API to perform various emission calculations for AI assistants.

Memorizes and manages key aspects of a codebase, enabling dynamic updates and fast retrieval while analyzing code across multiple languages. Utilizes a language-agnostic knowledge graph to enhance coding practices and insights.

Provides semantic memory and persistent storage using ChromaDB for long-term memory retention and semantic search capabilities, enhancing context maintenance across conversations.

Connects AI models to external data sources and APIs via a standardized interface, providing a unified protocol for function calls and tool management to enhance AI application capabilities.

Monitor and analyze COVID-19 activity trends in specific areas, providing real-time updates and insights for informed decision-making regarding health and safety.

Access Azure Data Explorer clusters to execute queries, list tables, and retrieve schemas. Provide seamless exploration of internal and external data sources.