"Agentic RAG: Understanding or Exploring Its Meaning and Applications" matching MCP servers:

Eleven local stdio MCP servers exposing a reproducible EPA SWMM stormwater-modelling workflow: model building, simulation with run manifests and continuity checks, calibration, GIS/QGIS, design storms and climate scenarios, uncertainty analysis, plotting, and modelling memory.

Enables natural-language-driven analytics over CSV/Parquet or built-in data by decomposing questions into analytical tasks, running them via deterministic DuckDB and SciPy tools, and publishing only claims verified against the underlying rows.

A high-performance MCP server that connects AI agents to premium computational tools for genetic algorithm optimization and data visualization, with automated USDC microtransactions via the x402 protocol.

MCP server that enables natural-language-driven, headless HEC-RAS modeling, letting agents inspect, edit, run, compare, and plot 1D/2D hydraulic models without the GUI.

Enables natural-language Q&A, human-approved actions, and dashboard generation over a data ontology via MCP.

Enables AI applications to interact with Tableau through tools for querying data, exploring content, and retrieving views.

Enables local offline machine learning workflows, including CSV profiling and cleaning, classifier and neural network training, hyperparameter optimization, evaluation metrics, confusion matrix plots, Streamlit dashboards, and HTML reports through MCP tools.

Enables AI applications to interact with Tableau for querying data, exploring content, and retrieving views through natural language.

MCP server providing data analytics tools for AI agents to load, clean, analyze data, generate charts and dashboards.

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.

Enables LLMs to discover, understand, and generate Teal R Shiny applications for clinical trial data analysis.

Renders word-sized charts — sparklines, bars, bullets and 100+ more types — to self-contained SVG with generated alt text, small enough to sit inline in a model's reply or a table cell. Three tools: find the right chart for a question, get its wiring, and render it.

An MCP server that lets Claude analyze your TradingView charts by reading the window and taking screenshots, with no write tools or trade execution.

Converts DataFusion physical execution plans into editable Excalidraw diagrams or PNG images via a single visualize tool.

Generate annotated post-trade candlestick review-chart PNGs from broker or exchange fills. Includes capability checks, no-charge preflight validation, and chart rendering; no signals or order execution.

An MCP server that lets Claude or ChatGPT read, create, and edit mind maps stored in a GitHub repository, with support for local and HTTP transport.

MCP server for romaco-charts. Control your trading chart from Claude, Cursor, or any MCP-compatible AI agent.

A free MCP server that renders bar, line, and area charts from structured data into clean, hand-designed SVG. No API key or payment needed, with colorblind-safe palettes and light/dark theme support.

An MCP server that enables AI agents to compile, refine, and interlink knowledge into a persistent wiki, replacing RAG with structured, curated knowledge.

Enables RF and microwave engineers — or any MCP client — to convert impedances, analyze transmission lines and ladder circuits, synthesize L/Pi/T/stub/quarter-wave matching networks, and evaluate transistor S-parameters, stability, gain and noise circles. It also renders publication-quality Smith charts and returns human-readable summaries in English or Turkish over stdio or Streamable HTTP.