"Resources for learning about data analysis" matching MCP servers:

An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

Enables to search, analyze, and export Douyin (TikTok China) video and user data, including interaction metrics, content length, and keyword trends.

Web scraper and token compressor that converts HTML to clean markdown with 70-80% fewer tokens. Single-page compression and multi-page BFS crawling with auto-fallback fetch modes.

Enables the AI Learning Assistant to perform web searches for current or external information, returning ranked public-web results with titles, URLs, snippets, and scores over Streamable HTTP.

A read-only MCP server for exploring and analyzing a Secoda data catalog, enabling AI chat, semantic search, glossary browsing, and data lineage tracing.

MCP server for structured web data access, enabling local-market research and lead-list enrichment by returning business names, locations, ratings, and review signals from concrete queries.

Enables analysis of YouTube videos using the Gemini API to generate summaries and answer specific questions via direct URLs. It supports standard videos and shorts, allowing users to interact with video content without requiring manual downloads.

Connect any AI to PostgreSQL, MySQL, or SQL Server — 24 dialect-aware tools for query, schema, optimization, and more.

Provides access to real-time LLM pricing, speed metrics, and performance benchmarks for over 300 models from Artificial Analysis. It enables users to list, filter, and compare models based on costs, tokens per second, and intelligence indices.

Enables live searching of licensed San Francisco preschools and child care centers, computing ELFA subsidy eligibility and net out-of-pocket costs, and generating ranked recommendations with deterministic scoring versus LLM comparisons.

Enables intelligent web searching using SearXNG with content crawling via Creeper, then summarizes webpage content using LLM to avoid token limit issues. Supports smart filtering with domain blacklist/whitelist and optional LLM-based relevance filtering.

Allows Claude and other MCP clients to access real-time and historical stock market data from Alpha Vantage API, including intraday and daily stock data with customizable intervals.

Enables natural language search and discovery of open-access scientific datasets through the EOSC Data Commons OpenSearch service. Provides tools to search datasets and retrieve file metadata using LLM-assisted queries.

MCP server enabling AI to search and retrieve Korean secondary school (middle/high) 2022 revised curriculum learning graphs, including achievement standards, topics, prerequisites, and transitions, via 11 tools.

MCP server providing web search, fetch, and crawl capabilities for AI agents via the spider.cloud API, with caching, cost controls, and robust error handling.

Facilitates semantic analysis of chat conversations through vector embeddings and knowledge graphs, offering tools for semantic search, concept extraction, and conversation pattern analysis.

A server that enables checking and managing learning paths based on the 2022 Korean national curriculum, including child profile management, curriculum search, prerequisite tracing, and learning check creation with deterministic state assessment.

A minimal MCP server that enables searching through pre-scraped React documentation using a hybrid approach combining DuckDB full-text search and transformer-based reranking.

Provides access to real-time and historical Indian stock data via Yahoo Finance API, enabling local LLMs to retrieve stock information through MCP-compatible agents like Claude Desktop and Cursor.

Offers real-time stock prices, sector and historical analysis, top performers for NSE and global markets, plus stock-specific and general market news with intelligent caching and fallback data.