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

Controls the Stata GUI through Windows Stata Automation COM, enabling do-file management, command execution, and data analysis within natural language workflows.

Enables AI agents to drive IBM SPSS Statistics for statistical analysis and publication-quality chart generation through natural language, returning structured results and ensuring safe execution.

An MCP server that provides an LLM with access to R's statistical toolkit including hypothesis tests, regression, psychometrics, survival analysis, time series, and plots through a persistent R session.

Enables LLM/agent applications to execute Stata code, load and inspect data, obtain structured regression results and graphs, and manage background tasks through the Model Context Protocol.

An MCP server for managing, editing, and running Stata .do files, integrating with Claude Desktop to enable natural language control of Stata analysis on macOS.

Enables AI assistants to execute IBM SPSS Statistics workflows via natural language, covering data management, restructuring, analysis, charting, and report export.

Enables AI agents to run IBM SPSS Statistics on macOS for statistical analyses, generate paper-ready charts, extract structured results, and execute mediation/moderation analyses with safety controls.

MCP server that enables Claude to directly drive Stata, providing a persistent session and 75 tools for data management, estimation, post-estimation, graphs, and export. It lets users perform full Stata analyses through natural language instructions.

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.

Provides a read-only interface to audit and continue coding agent sessions by extracting plans, intents, and edit authorship from history across multiple agents (Claude, Codex, OpenCode, Antigravity, Pi) via MCP, CLI, and Python SDK.

econ-r-mcp is a local MCP server plus companion skill for reproducible applied econometrics and statistics workflows powered by headless R execution.

Provides project-local, reproducible Stata execution for humans and AI agents, with immutable run artifacts, provenance tracking, planning gates, and a shared dashboard.

Enables AI assistants to execute R code, create visualizations, analyze data, and manage packages through a local Rscript CLI.

A production-grade MCP server that provides tools to fetch historical stock data, company information, and technical indicators (SMA, EMA, RSI, MACD, Bollinger Bands) via yfinance, and includes a Flask web dashboard for visual analysis.

Enables an agent to execute Stata do scripts or inline commands locally and retrieve structured results including status, error diagnostics, and output text for consumption by the model.

Enables local analysis of unstructured documents (PDF, DOCX, PPTX, SVG, PNG) by extracting text and structure with citation anchors, and verifies summaries against source material before a human approves saving a report.

FastMCP server for image analysis providing OCR, metadata, and EXIF extraction.

Records and scores prospective equity earnings predictions made by AI agents, allowing comparison of different agent configurations.

A lightweight MCP server for linear-static structural analysis of bridges and building frames, providing tools to build 3D beam/truss models, analyze with built-in or CalculiX solvers, and export to FreeCAD.