"Programs for Performing Statistical Analysis: R, STATA, SPSS" matching MCP servers:

Connects AI agents to a local Stata installation, enabling execution of Stata code, data inspection, graph generation, and result verification through natural language interactions.

Provides a bridge between Stata statistical software and code editors like VS Code and Cursor, enabling users to run Stata commands directly from the editor, view output in real-time, and get AI-powered assistance with Stata coding.

MCP server for alive-analysis. Query, search, and retrieve structured analysis history written with the ALIVE loop (Ask→Look→Investigate→Voice→Evolve), plus dashboard JSON export.

A local MCP server that provides Sonar-grade static analysis (bugs, vulnerabilities, code smells) for TypeScript/JS and C# repositories, with CLI and dashboard support.

Enables MySQL database analysis through natural language, including schema exploration, query execution, performance analysis, and ER diagram generation via the Model Context Protocol.

MCP server for persistent project knowledge management, enabling AI assistants to store, search, and reuse project analysis insights with freshness checking and impact analysis.

A powerful Model Context Protocol (MCP) server for seamless Jira integration with AI assistants like Claude. Features advanced search capabilities, intelligent pod aliases, comprehensive ticket analysis, and full API support.

Enables static analysis of code snippets and public GitHub repositories using ruff and semgrep through a secure MCP SSE server.

Sentiment Analysis AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Provides access to real-time LLM pricing, speed metrics, and performance benchmarks for over 300 models from Artificial Analysis. It enables users to list, filter, and compare models based on costs, tokens per second, and intelligence indices.

The server facilitates natural language interactions for exploring and understanding codebases, providing insights into data models and system architecture using a cost-effective, simple setup with support for existing Claude Pro subscriptions.

MCP server for TypeScript type resolution and dependency graph analysis using ts-morph and madge.

A Model Context Protocol server that helps programmers understand code by providing explanations, tech stack analysis, and best practice suggestions through prompt templates.

An AI-centric MCP server that enables automated Xilinx Vivado workflows, including project management, synthesis, implementation, and timing analysis. It allows AI agents to drive hardware design processes while integrating directly with the official Vivado GUI for visual context.

Transform your codebase into professional architectural decision records with intelligent AI analysis

A Model Context Protocol server for deep codebase understanding of Python projects, focusing on data analysis and scientific computing. It provides architectural analysis, pattern detection, dependency mapping, test coverage analysis, and AI-optimized context generation.

Provides comprehensive code analysis through three MCP servers: static analysis for code quality and security, dependency analysis for package management and vulnerabilities, and complexity analysis for maintainability assessment across multiple programming languages.

An MCP server that provides six code review tools for use with Claude Code or any MCP client. Each tool reads a file from disk, pairs its contents with a structured review prompt, and returns the bundle for the LLM to evaluate.

A modular MCP server for code analysis using ast-grep, enabling structural pattern matching and transformations across multiple languages.

Federates multiple local debugging MCP backends behind a single authenticated MCP endpoint, enabling unified access to Cheat Engine, x64dbg, and x32dbg tools.