"Vibe coding and creative programming resources" matching MCP servers:

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.

MCP server that provides a live, terminal-native layered dependency map for AI coding assistants, with tools to track and visualize development progress in real time.

Enables LLMs to generate visual summary reports from CSV datasets using MCP Resources, Tools, and Prompts, without exposing raw data to the model.

A production-grade MCP server for enterprise sales analytics, enabling LLM clients to query, analyze, and visualize sales data from a SQLite database through structured tools, resources, and prompts.

An MCP server that enables AI assistants to query databases, execute SQL, and manage Metabase resources like dashboards, cards, and collections through natural language.

An MCP server for rendering common ECharts visualizations from structured tool arguments, exposing per-chart opener tools that map to independent HTML app resources.

QuestDB MCP server connects coding agents to a running QuestDB Web Console. The agent gets tools to create notebook cells, run queries, and build charts.

Enables coding agents to turn finished sessions into Strava-style achievement cards with distance, elevation, effort, badges, and personal records, plus profile, activity feed, season recap, and leaderboard tools—all measured from session transcripts rather than self-reported.

Provides advanced charting widgets (uPlot time series, ECharts box plots and parallel coordinates) for Urano Desktop/Cloud via MCP tools that build uiSpec JSON for rendering.

Exposes tools and resources for human-supervised geological modelling from borehole data, including validation, 3D implicit model construction with GemPy, and uncertainty analysis, with a deterministic audit trail.

A TypeScript/Node.js MCP server that wraps the Metabase REST API, enabling AI agents to execute queries, explore schemas, and build dashboards through structured tool calls.

MCP server that exposes ArchSmith's diagram rendering and validation as tools, along with schema and registry resources, enabling AI agents to generate consistent SVG architecture diagrams from validated JSON descriptions.

Enables connecting to any SQL database, exploring schemas, running queries, and visualizing results with interactive charts from Claude Desktop.

A stateless MCP server that generates interactive report widgets and survey builder UIs, using MCP Apps for rich visualizations and long-polling for live updates.

Exposes TensorBoard experiment data through a standardized MCP API, enabling AI coding agents to query and analyze scalars, tensors, histograms, distributions, and images from ML experiment logs.

Enables AI assistants to interact with Metabase analytics platform, allowing them to query databases, execute SQL, manage dashboards and cards, and access analytics data through natural language.

MCP server for scientific computing with multiple backends (Mathematica, Octave, Python, R, SageMath, etc.) enabling mathematical computation and visualization through AI coding assistants.

Enables AI assistants to perform electronic circuit power tree analysis, including opening projects, solving margins, validating designs, editing elements, managing waivers, and exporting reports.

Enables AI agents to perform Black-Litterman portfolio optimization with investor views, backtesting, and asset analysis, generating dashboards for visualization.

MCP server that turns coding agents into data analysts: attach CSV/Parquet/JSON/XLSX or databases, profile data, run read-only SQL, and render Vega-Lite charts as SVG files.