Data & Analytics

Expert data scientist for advanced analytics, machine learning, and

A Model Context Protocol (MCP) server providing 58 AI-optimized tools for .NET/C semantic code analysis, navigation, refactoring, and code generation using Microsoft Roslyn. Built for AI coding agents - provides compiler-accurate code understanding that AI cannot infer from reading source files alone. Then run with: 1. Install the tool globally: 2. Create .mcp.json in your project root: 3. Restart

Automate Google Analytics tasks via Rube MCP (Composio): run reports, list accounts/properties, funnels, pivots, key events. Always search tools first for current schemas.

An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.

AI System Prompt for Master Python Programmer

When the user wants backlink analysis, link gap analysis, competitor link profiles, referring domain data, or link building research. Trigger on "backlinks," "who links to," "link profile," "referring domains," "link gap," "Ahrefs," "link building research," or "why do they outrank me" (often a link authority issue).

A Model Context Protocol (MCP) server for searching NCBI databases, designed for researchers across all life sciences and biomedical fields. This server provides seamless access to PubMed's vast collection of 35+ million scientific articles through natural language queries, enabling AI assistants to help with literature reviews, research discovery, and scientific analysis. 🔬 Comprehensive Search:

Push architecture docs to oh-my-mermaid cloud. Handles login, link, and push workflow with error guidance. Use when the user says "omm push", "push to cloud", "deploy architecture", or "share architecture".

This repo contains skills for Claude Code, Codex, and any agent that supports the SKILL.md standard. 1. Create a free account at app.lessie.ai — new accounts include trial credits 2. Install all skills: 3. Restart your agent and run any skill by name Skip the CLI install. Add Lessie as an MCP server instead: - CLI + Skills: npm uninstall -g @lessie/cli && rm -rf ~/.lessie/ ~/.claude/skills/lessie

Use when the request is end-to-end, spans multiple workflow phases, or the correct tracking-workflow entry point is still unclear.

The semantic engine for MCP clients. Define metrics once, query from anywhere. Docs · Getting Started · Changelog · Discord · Bonnard is an agent-native semantic layer CLI. Deploy an MCP server and governed analytics API in minutes -for AI agents, BI tools, and data teams. Define metrics and dimensions in YAML, validate locally, and ship to production. Works with Snowfl

This repository contains an MCP (Model Context Protocol) server (server.py) built using the fastmcp library. It interacts with the Kaggle API to provide tools for searching and downloading datasets, and a prompt for generating EDA notebooks. - server.py: The FastMCP server application. It defines resources, tools, and prompts for interacting with Kaggle. - .env.example: An example file for environ

An MCP server that provides access to PubMed articles through the Entrez API. - Search PubMed - Search the database using keywords, MeSH terms, author names, date ranges, and Boolean operators - Get Full Text - Download full text when available (for open access articles in PubMed Central) - Access Abstracts - Retrieve article abstracts and metadata via resource URIs MCP Prompts help you construct

Instead of manually checking the Rybbit dashboard, let your AI assistant query analytics data directly: - "How many users visited the site today?" - "Show me the top pages by bounce rate this week" - "What errors occurred in the last hour?" - "Show user journey from homepage to checkout" - "Compare browser usage between mobile and desktop" Or clone and build: Add to your ~/.claude/settings.json or

Analyze git repositories to build a security ownership topology (people-to-file), compute bus factor and sensitive-code ownership, and export CSV/JSON for graph databases and visualization. Trigger only when the user explicitly wants a security-oriented ownership or bus-factor analysis grounded in git history (for example: orphaned sensitive code, security maintainers, CODEOWNERS reality checks for risk, sensitive hotspots, or ownership clusters).

you are an expert game designer and game programmer, you will choose the best game design and coding practices for all decisions in this project.

Prompt for Expert Manifest Developer**

Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.

A Model Context Protocol server for generating charts using AntV. We can use this mcp server for chart generation and data analysis. This is a TypeScript-based MCP server that provides chart generation capabilities. It allows you to create various types of charts through MCP tools. You can also use it in Dify. - ✨ Features - 🎨 Skill Usage - 🚰 Run with SSE or Streamable transport - 🎮 CLI Options

A mcp server that bridges Dune Analytics data to AI agents. - getlatestresult: Fetch the latest results of a Dune query by ID. - runquery: Execute a Dune query by ID and retrieve results. - CSV Output: All results are returned as CSV-formatted strings for easy processing. - Python 3.10+ - A valid Dune Analytics API key (get one from Dune Analytics) To install Dune Analytics for Claude Desktop auto

A Model Context Protocol (MCP) server that transforms how you interact with Google Search Console, Bing Webmaster Tools, and Google Analytics 4. Stop exporting CSVs and start asking questions. 📚 View Documentation Data Silos: Manually checking Google, then Bing, then GA4. Manual Correlation: Exporting 3 different CSVs and using VLOOKUPs to see if your 1 ranking page actually converts. Switching F

JupyterMCP connects Jupyter Notebook to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Jupyter Notebooks. This integration enables AI-assisted code execution, data analysis, visualization, and more. This tool is compatible ONLY with Jupyter Notebook version 6.x. It does NOT work with: - Jupyter Lab - Jupyter Notebook v7.x - VS Code Noteboo

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas

Conducts multi-turn iterative deep research on specific topics within a codebase with zero tolerance for shallow analysis. Use when the user wants an in-depth investigation, needs to understand how something works across multiple files, or asks for comprehensive analysis of a specific system or pattern.