"Proton Drive" matching MCP servers:

Generates, validates, and updates structured research tables by synthesizing multiple AI queries, enabling AI agents to autonomously drive research workflows.

Enables Claude Desktop to read and drive analyses on the active MilliMap session, including datasets, clusters, annotations, and markers.

Drive VMD from any LLM — render GROMACS/LAMMPS trajectories and analyze clathrate-hydrate cages through the Model Context Protocol.

Enables AI assistants to drive Kratos Multiphysics finite element simulations end to end, including introspection, scaffolding, execution, and post-processing.

Enables agent sessions to drive OriginPro via COM for plotting XY data, performing linear fits with R2, and exporting PNG images.

MCP server that enables AI assistants to drive systematic literature review workflows, including screening, downloading, converting, and reviewing papers through natural language conversation.

An MCP server that lets an AI assistant drive Epistemic Network Analysis models hosted on the webENA cloud service, enabling project listing, model running, and result visualization.

Enables AI assistants to manage Google NotebookLM notebooks, add sources from URLs, YouTube, Drive, or text, query and summarize content, and generate audio overviews, infographics, and slide decks through natural language.

MCP server that lets AI clients drive the dfxm-geo dark-field X-ray microscopy forward model, enabling config validation, reflection enumeration, and preview-scale simulations.

Enables MCP clients to watch and drive a running ResInsight, query reservoir simulation models, and render pictures and plots without touching the GUI.

Enables AI assistants to drive TDLAS/WMS spectroscopic simulations through natural language, including direct absorption spectrum calculation, wavelength scanning, modulation parameter setup, lock-in demodulation, and 1f/2f harmonic extraction.

An agent-agnostic MCP server that lets any AI agent drive a local JupyterLab session via the Model Context Protocol.

Enables analysis of datasets from CSV/Excel files, Google Sheets, and Google Drive with comprehensive data profiling tools including schema inference, missing value reports, correlation analysis, and outlier detection. Supports exporting analytical reports in multiple formats to local storage or Google Drive.

Enables fetching Japanese stock daily OHLCV data from J-Quants API and returning CSV files for ChatGPT to save into a specified Google Drive folder. It supports searching by ticker or company name and handles ambiguous matches without guessing.

Enables AI clients to drive a running OriginLab Origin instance, allowing LabTalk scripting, worksheet read/write, and project management.

Options analytics an agent can drive: import a permitted chain, solve implied volatility, build a sixteen-Greek ladder, map dealer gamma walls, rank twenty-three structures, run a GARCH-t simulation with a convergence gate, and backtest with modelled premiums. Twelve stdio tools; every output is a schema-validated JSON file with source, assumptions and a degraded flag. Research only, no orders.

Provides 19 tools for discovery, data analysis, configuration, and simulation, enabling an agent to drive digital twin workflows with session persistence and knowledge graph capabilities.

An MCP server that lets Claude and other clients query DataDive niches, keywords, competitors, and Rank Radar data using your API key, including tools for managing dives and rank radars.

MCP server that lets AI assistants like Claude Code and Codex drive the co-scientist engine to generate, review, rank, and evolve scientific hypotheses via an Elo tournament.

The MCP server for AlphaForge — the agent-native quant CLI: write strategies in JSON, optimize with Optuna TPE, validate with walk-forward, export to TradingView Pine v6. This server lets your AI agent drive the whole pipeline over MCP.