"Android Studio Development Platform" matching MCP servers:

Enables AI assistants to interact with the Open Targets Platform API to search and retrieve comprehensive data about target-disease associations, drugs, genes, and drug discovery information through GraphQL queries.

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 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.

Enables an AI agent to set up, run and verify engineering simulations through typed tools — creating or importing cases, setting boundary conditions, running solvers, checking convergence, verifying results against references, and rendering output, with edits appearing live in the GUI. It exposes no shell or code-execution tool.

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.

Enables AI clients to create and read structured research records—projects, questions, specifications, implementations, executions, artifacts, evidence, evaluations, comparisons, analyses, and reports—through MCP while keeping scientific judgments and approvals human-controlled.

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.

Provides tools to research crypto trading strategies via backtesting, walk-forward validation, and paper trading, with a deflated-Sharpe overfitting check. Enables natural-language-driven analysis and interpretation of strategy performance.

Enables AI assistants to directly access quant research knowledge, including factor libraries, strategy backtesting, and research reports, through the MCP protocol.

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 querying and retrieving materials data from the Materials Project via MCP tools, supporting search, lookup, comparison, and export.

MCP server for the Mamba Labs Trustpilot Reputation Enricher actor on Apify. Resolve a company domain to its Trustpilot rating, review count and claimed status.

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.

Enables AI agent clients to drive IBM SPSS Statistics for analysis, paper-grade chart export, structured result parsing, Hayes PROCESS mediation/moderation, and safe audited syntax execution on Windows.

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.

Provides AI assistants with real-time web search, reasoning, and research capabilities through Perplexity's Sonar models and Search API. Supports quick searches, deep research, advanced reasoning, and direct web search with ranked results.

Enables AI agents to safely execute statistical analyses, parse results into Markdown and JSON, and generate publication-ready charts through a local IBM SPSS Statistics installation on macOS and Windows.

Enables AI agents to resolve Japanese food names to nutrition facts per 100g based on official Japanese food composition data.

The Materials Project MCP Server is server that provides programmatic access to the Materials Project database. It enables LLMs, to search, analyze, and retrieve up to date materials science data.

Enables AI assistants to access competitive-intelligence signals, reports, and memory through a tenant-scoped MCP endpoint with security controls.

Enables users to query Ecuador's earthquake and volcano activity by polling the IGEPN public Telegram channel into a local SQLite archive, then exposing tools for the latest or recent quakes, volcano activity levels and trends, and IG alert bulletins. Results include local and UTC times, preliminary/revised status, and source post links.

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.

MCP server for Taiwan's agricultural wholesale market real-time price data, providing 6 tools to search products and query trade data at daily, weekly, monthly, yearly granularities, plus cross-market comparisons.

Provides professional market data access via DataBento API, including real-time futures quotes, historical timeseries, batch downloads, symbol resolution, metadata discovery, and reference data.

Provides AI assistants with access to Lumenore's analytics capabilities, enabling natural language queries for data insights, advanced analytics (trends, predictions, correlations, outliers), and real-time data processing with zero persistent storage.

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 AI-powered analysis of healthcare market segments, product comparisons, and sales data insights using natural language processing and retrieval-augmented generation.

Enables AI clients to securely upload, query, and read research project materials under OAuth 2.1 and per-material access policies.

A Python MCP server for querying grant applications and previewing or committing scoped reviewer reassignments.

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.

A model context protocol server designed for AI development and QA, providing AntV document context and code examples.

Read-only Model Context Protocol tools for evidence-based development cooperation and ODA research.

Enables AI assistants to query and analyze user behavior data from the Sensors Analytics platform using natural language.

Unofficial Model Context Protocol server for accessing Open Targets platform data for gene-drug-disease associations research.

Google Gemini Notebook (formerly NotebookLM) over MCP, plus a local HTTP REST API. Citation-backed Q&A, full Studio generation, chat history, multi-account rotation. For Claude Code, Codex, Cursor, n8n, Zapier, Make.

"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.