# Data Analysis

dank-mcp is a server based on the Model Context Protocol (MCP), specifically designed to answer questions about cannabis datasets. It stores and processes data through DuckDB, supports integration with LLM tools such as Claude Desktop, and provides a query service for cannabis product information for educational purposes.

NexonCo MCP is an advanced medical care platform server designed for accessing and analyzing clinical evidence data, supporting precision medicine and oncology research.

A modern data stack implementation based on Meltano, DuckDB, and dbt Core, including the full process of data extraction, loading, transformation, and validation, and integrated with the Claude Code MCP intelligent assistance service.

A server project that provides access to Federal Reserve Economic Data (FRED) through the MCP protocol

This project is a Reddit service interface based on the Model Context Protocol (MCP), implemented through the Python Reddit API Wrapper (PRAW), which allows AI assistants to access and interact with Reddit content. The project provides functions such as user information analysis, getting popular posts, community statistics, and viewing trending sub - forums, and supports authenticated users to post and comment.

A query service that connects the dbt semantic layer with AI assistants

This project is an MCP server for the dbt Semantic Layer, serving as a bridge between AI assistants and the dbt Semantic Layer, supporting natural language queries for metrics, exploration of data analysis, and visualization of results.

An MCP server implementation for interacting with the Plausible Analytics API, allowing AI models to query Plausible's analytics data.

The Tinybird MCP Server is a service for interacting with the Tinybird workspace from any MCP client

The DevOps MCP Server is a server based on FastMCP, providing integration services for DevOps tools such as GitHub, Jenkins, and Artifactory, and supporting read - only data access and analysis.

A comprehensive real estate data management MCP server, providing tools and resources for property listings, agent management, market analysis, customer relations, and regional intelligence.

The Superset MCP Integration project enables AI agents to interact with Apache Superset, connecting and controlling Superset instances programmatically.

Fillout.io's MCP Server provides form management, response handling, and data analysis functions

An MCP server that provides read - only query functions for Snowflake databases, supports multiple authentication methods and SQL query operations, and securely integrates with Claude for data analysis.

An MCP server implementation for interacting with the Plausible Analytics API, allowing AI models to query analytics data.

The Code Line Counter MCP Tool is used to track and analyze the scale of AI-generated code, supporting multi-language code line counting and data analysis

Axiomatic MCP servers provide AI assistants with an advanced tool suite for scientific computing, document processing, and photonic circuit design.

An MCP server based on the YouTube Data API v3, providing search and data analysis functions for videos, channels, and playlists, supporting content discovery and indicator query.

The MCP Analytics Suite is an intelligent analytics platform that automatically transforms business problems described in natural language into actionable insights through AI-driven intelligent discovery. It provides an end-to-end analysis workflow, supports various statistical methods and machine learning techniques, and integrates secure data processing and interactive reporting features.

The AI-assisted Insights Agent is an MCP agent that can transform natural language questions into accurate, interpretable, and reproducible data insights. It translates business questions into SQL queries through a natural language interface, provides interpretable results (including query statements, metric definitions, and data quality), and ensures the reproducibility of analysis. It aims to bridge the gap between business questions and data answers, improving the efficiency and transparency of data analysis.

The Token Metrics MCP Server provides comprehensive cryptocurrency data, analysis, and insights. It enables real-time market data, trading signals, price forecasts, and advanced analysis through function calls.

Atris MCP is a protocol server that provides an LLM access interface for the Audius music platform, supporting functions such as music discovery, content management, social interaction, and data analysis.

An MCP server that provides advanced analysis and natural language processing functions, supporting various tools such as dataset analysis, decision analysis, and sentiment analysis.

The FastMCP project is a data analysis service tool based on DolphinDB, providing fast installation and configuration and Claude desktop integration functions

This is a Metricool API server based on the Multi - Agent Collaboration Protocol (MCP), which allows AI agents to access and analyze social media metrics, advertising campaign data, and support post scheduling in Metricool accounts.

Windsor MCP is a service based on the MCP protocol that allows users to directly query and analyze their full-stack business data integrated on the Windsor.ai platform through natural language, without writing SQL or scripts, and supports over 325 data sources.

Linkly MCP Server is a tool that allows AI assistants (such as Claude and ChatGPT) to create and manage short links, track clicks, and automate URL management. It integrates the functions of the Linkly platform, including link management, analysis, custom domains, and Webhook management.

The Smartlead Simplified MCP Server provides a simplified interface for interacting with the Smartlead API and supports email marketing functions.

A data analysis and research MCP server based on the Gemini Flash 2 AI model, providing functions such as data parsing, intelligent analysis, report generation, and automatic email sending.

The MCP Server is an interactive data exploration tool that helps users transform complex datasets into clear and actionable insights.