"Resources for Full Stack Development with Beautiful UI" matching MCP servers:

Provides eight deterministic, source-grounded tools for exploring the Beautiful Solutions toolbox, enabling organizers and educators to search, compare, map, and build discussion guides around liberation-focused values, principles, solutions, and stories without runtime LLM or network calls.

Collection of B2B sales intelligence MCP servers. Includes website analysis, tech stack detection, hiring signals, review aggregation, ad tracking, social profiles, financial reporting and more for AI-powered prospecting

MCP server for UI research that helps agents discover visual patterns, generate original HTML/CSS components, and track deliverables without copying third-party code.

Enables AI agents to invoke a local Stata installation, including a Windows Stata build under Wine on Linux and macOS, for regression analysis, econometrics, paper replication, and empirical research with command guards, resource monitoring, and automatic log capture.

An MCP server that enables advanced CSV analysis and data visualization using Google's Gemini AI and Plotly. It allows users to perform exploratory data analysis, generate interactive charts, and conduct complex reasoning on tabular data.

A Windows-optimized server providing universal data analytics for JSON and CSV files through over 32 tools including schema discovery and interactive visualizations. It is specifically designed for seamless integration with Claude Desktop on Windows.

Enables searching for upcoming academic conferences and events from WikiCFP by keywords, returning detailed information including dates, locations, submission deadlines, and related resources.

Enables Claude, Cursor, and other MCP clients to retrieve and analyze Google Trends data, including trending searches, interest over time and by region, related queries, seasonality, momentum, and share of search, without requiring an API key.

MCP server for alive-analysis. Query, search, and retrieve structured analysis history written with the ALIVE loop (Ask→Look→Investigate→Voice→Evolve), plus dashboard JSON export.

Custom MCP server for NotebookLM that adds audio source upload, YouTube source ingestion, source readiness polling, and transcript export, complementing standard Q&A and audio overview tools.

Enables searching and discovering machine learning papers, state-of-the-art benchmarks, tasks, datasets, methods, and leaderboards from Papers with Code. Supports mapping papers to their benchmark results and browsing evaluation tables.

Free competitive pricing intelligence for SMB CPG brands. Check where any product price sits in its Amazon category, track pricing trends, and compare products — no NielsenIQ or SPINS subscription needed.

Remote MCP server for the UNESCO Institute for Statistics (UIS): ~5,000 indicators on education, science/R&D, culture and communication by country, region and year — hosted, nothing to install, no API key, with source URL, data release, retrieval timestamp and licence on every answer.

An MCP server that lets Large Language Models interact with Stata software to perform regression analysis and other statistical operations.

Enables auditable PubMed literature searches, abstract retrieval, open-access checks, and legal PDF downloads via NCBI E-utilities, while flagging missing fields rather than inferring them.

85 tools for Taiwan + US stock-market analysis — quotes, three major institutional flows, chip data, fundamentals, technical indicators, backtesting, risk metrics. Requires the Stock Analyzer desktop app running locally on port 3000.

Enables AI agents to query free biomedical and pharmaceutical APIs for clinical trials, drug data, molecular structures, adverse events, and research literature.

Exposes spectral analysis and radar DSP primitives (FFTs, STFT spectrograms, 2D Range-Doppler processing, CA-CFAR detection, MVDR beamforming, Kalman tracking) as callable MCP tools for AI agents, running hardware-free on signal files.

A tool that helps users conduct comprehensive research on complex topics by exploring questions in depth, finding relevant sources, and generating structured, well-cited research reports.

Enables LLM clients to access crop yield predictions from RGB imagery, topic-based PDF literature, and soil lab/moisture CSV data.