"ANA" matching MCP servers:

Enables exploratory data analysis and machine learning on CSV datasets with tools for profiling, missing values, correlation, plotting, model training, and prediction.

Enables AI to analyze trade quality by fetching real price action around fills, generating annotated candlestick charts, and computing metrics like MAE/MFE, R-multiple, and capture efficiency.

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.

MCP server for YouTube channel deep analytics, extracting transcripts and computing quantitative metrics like WPM, profanity, and humor taxonomy, with multi-creator comparison dashboards.

Statistical analysis, forecasting, and ML for business data (Shopify, Stripe, WooCommerce, eBay, GA4, Search Console). Upload a CSV or connect live data sources — ask a question in Claude or Cursor, get an interactive HTML report

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 aspect-level sentiment mining from customer reviews and produces satisfaction radar breakdowns with structured output for AI agents.

Enables natural-language stock comparison queries that produce PNG charts and financial metrics such as returns, volatility, and drawdowns via MCP tools.

OrionBelt Analytics is an MCP server that analyzes relational database schemas and generates RDF/OWL ontologies with embedded SQL mappings. It provides relationship-aware Text-to-SQL with automatic fan-trap prevention, GraphRAG for intelligent schema discovery, and interactive charting -- all accessible through any MCP-compatible AI client.

Enables data analysis and visualization operations such as loading CSV/Excel/JSON files, computing summary statistics, generating charts, and exploring datasets via SSE/HTTP.

Converts plain-English stock requests (e.g. "compare Apple and Microsoft YTD") into validated yfinance/matplotlib scripts, AST-checked and executed in a sandbox to produce chart PNGs. Exposes parsing, saving, execution, and history-listing tools to Claude Desktop and Claude Code through FastMCP, backed by local Ollama/DeepSeek-R1 or cloud Groq/GPT-4o models.

Enables Claude to retrieve real-time financial data, extract ESG risk metrics for S&P 500 companies, and generate automated analytical visualizations through three integrated MCP tools.

Enables LLMs to load tabular data from CSV/Excel/JSON, clean and analyze it, generate charts, and write a report with conclusions.

A natural-language data analyst MCP server that lets users query SQLite sales datasets via MCP tools (list_tables, aggregate, time_series, run_sql) with read-only SQL safety guards, returning results through a FastAPI dashboard.

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

Automates sales data analysis by cleaning CSV, generating AI insights, creating interactive HTML dashboards, exporting PDF reports, and emailing them, all via MCP tools and multi-model AI fallback.

A production-grade MCP server that provides tools to fetch historical stock data, company information, and technical indicators (SMA, EMA, RSI, MACD, Bollinger Bands) via yfinance, and includes a Flask web dashboard for visual analysis.

Enables AI agents to create and edit Zoho Analytics chart reports, run SQL queries, and browse workspaces and views using natural language.

Enables end-to-end analysis of Reddit discussions: fetches posts, performs sentiment and toxicity detection, generates visualizations and word clouds, and optionally builds Neo4j knowledge graphs, all through natural language orchestration.

Enables LLM clients to load, clean, visualize, and analyze tabular datasets, and to generate multi-format analytic reports through natural language instructions.