"Android Studio" matching MCP servers:

MCP server for the DAG Studio causal-inference engine, enabling AI agents to construct, analyze, and validate causal directed acyclic graphs (DAGs) through tools for analysis, data simulation, and code generation.

A professional literature search tool built on FastMCP framework that enables AI assistants to search academic literature from Europe PMC, retrieve article details, and analyze journal quality with seamless integration into Claude Desktop and Cherry Studio.

MCP server that enables Claude to control Altair AI Studio for data mining and machine learning tasks, including data import, cleaning, transformation, model training, clustering, association rules, and executing saved processes.

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.

Enables AI agents to research App Store screenshots and human-reviewed references, then produce evidence-backed messaging, narrative, art-direction briefs, and measurable copy/export QA.

Python-first MCP server for CST Studio Suite (2024–2026) that lets AI assistants drive CST from Windows: open projects, build geometry, set materials and ports, run solvers, read S-parameters and farfield metrics, and generate design reports.

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\_scholar" is a Python-based tool for searching and analyzing Google Scholar papers, supporting features like keyword-based searches and integration with MCP clients and Cherry Studio. It provides functionalities such as fetching top-cited papers from scholar profiles and summarizing research top

Enables MCP clients like Codex to execute BIOVIA Materials Studio modeling, Forcite, DMol3, CASTEP jobs, GUI queues, and result reading through the official MaterialsScript runtime with isolated workspaces and security controls.

MCP server for BIOVIA Materials Studio 2023 on Windows, providing controlled preparation of Forcite and CASTEP inputs, model building, and LAMMPS/VMD pre-processing with reproducible, auditable workflows and strict scientific boundaries.

Enables AI agents to run TimesFM-3 forecasting workflows locally, including joint multivariate forecasting with known future drivers, backtesting against a baseline, what-if scenario comparison, and historical anomaly detection. It exposes the studio's tools and bundled public and synthetic demo datasets over MCP.

Local static-analysis assistant for Android malware research that manages investigation cases, exposes MCP tools via a local server, and persists evidence-backed findings without cloud dependency.

Wraps the 42matters App Market Data API to let AI agents look up app details, search app stores, fetch ranked top charts, and find apps integrating specific SDKs across Android and iOS.

Enables AI hosts to design and simulate complex adaptive systems, including managing agent types, running simulations, and analyzing emergent behavior, feedback loops, and sensitivities.

MCP server integrating MaverickMCP with LM Studio, providing 37+ stock market analysis tools including market data, technical analysis, screening, portfolio tracking, backtesting, and research. Enables natural language interaction with stock analysis tools within LM Studio.

Enables safe, audited automation of CST Studio Suite 2026.2 by inspecting projects, building models from structured parameters and fixed History templates, running periodic unit-cell solves, and computing R/T/A and PCR from saved complex channels with CSV, HTML, and Touchstone export. Writes are confined to a work directory, mutations and solver actions require explicit confirmation, and unresolved solver outcomes are blocked rather than reported as success.

Enables browsing, searching, and retrieving FRED economic data (800k+ indicators) through LM Studio plugins or MCP, with units/frequency conversion. Supports natural language queries for series like GDP and UNRATE.

Enables AI agents to generate duration-aware, fact-checked video scripts from topics or transcripts by exposing tools for live news/web research, article fetching, and transcript ingestion, plus resources and style prompt templates.

Enables AI to search, filter, and process CNKI academic literature through natural language, including structured search, metadata retrieval, full-text reading, citation export, and PDF/CAJ download.

Enables interaction with Google's NotebookLM through natural language, allowing users to create and manage notebooks, add sources from URLs/YouTube/Google Drive, query AI for insights, generate audio podcasts and other studio content, and perform AI-powered research and analysis.