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"How to create charts from data" matching MCP servers:

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    Enables generation of 25+ types of charts and data visualizations using AntV, including bar charts, line charts, maps, mind maps, and specialized diagrams like fishbone and sankey charts. Supports both statistical charts and geographic visualizations for comprehensive data analysis and presentation.
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    MCP server providing access to Brazilian public data (CNPJ, CEP, banks, holidays) via BrasilAPI. For Claude Desktop, Claude Code, Cursor, and other MCP-compatible clients.
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    MCP server exposing Thailand data tools including official company-registry lookups, Thai address normalization, public holidays, and VAT/withholding-tax reference.
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    An MCP server that enables AI assistants to create, update, and publish Datawrapper charts through natural language. It provides tools for data synchronization, visual configuration, and retrieving chart images or editor links.
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    Enables LLMs to profile and analyze tabular data files (CSV, Parquet, Excel, JSON) by extracting schema, statistics, data quality issues, and dtype suggestions, returning structured JSON.
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    Provides real-time market data tools (quotes, news, earnings calendar, watchlist scanner, and composite analysis) for AI agents via Finnhub, with optional Alpaca broker integration and graceful degradation.
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    MIT
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    TableCharts MCP Server gives any LLM assistant the ability to instantly convert tabular data into beautiful, hosted, interactive dashboards. Simply provide JSON rows, raw CSV text, or a public URL (Notion page, Google Sheet, or Salesforce report), and get back a shareable dashboard URL plus an embeddable iframe code — all in one tool call. Supports 6 chart types: bar, line, area, pie, scatter, a
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    MIT
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    Live market data for AI agents. 8 tools: real-time crypto prices, OHLCV candles, order books, market cap rankings, trending coins, technical analysis (RSI/SMA/z-score), asset comparison, and Fear & Greed index. Zero API keys, zero dependencies.
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    Provides US real estate data including housing stats, demographics, nearby amenities, area comparisons, cost-of-living analysis, and neighborhood search via free public APIs without any API keys.
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    MIT
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    Query 2,500+ verified public datasets (World Bank, IMF, Eurostat, OECD, WHO) from your AI agent. Search, analyze, and visualize data, and publish charts — with verified SEC + official source data.
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    A MCP server for data visualization. It exposes tools to render charts (line, bar, pie, scatter, heatmap, etc.) from data and returns plots as either image/text/mermaid diagram.
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    The server integrates with the free IMF data API and provides various features to facilitate data retrieval and analysis. The server is built using the FastMCP framework and offers the following functionalities:
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    Apache 2.0
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    One-pass agentic inbox triage as an MCP server: fetch unread Gmail → classify (action_needed/fyi/newsletter/noise) → summarize → extract tasks → draft replies as Gmail DRAFTS (never sends) → flag calendar → write a triage report. Four stdio tools (fetch_emails, save_gmail_draft, append_tasks, write_report); the host is the LLM, so it runs keyless in Claude Code. Gmail scopes: readonly + compose
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    An MCP server that enables AI agents to retrieve detailed GitHub Pull Request information using git commit hashes, branch names, or PR numbers. It automatically detects repositories and extracts comprehensive PR data including descriptions, labels, and reviews via the GitHub CLI.
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    Real-time Korean web data for AI assistants — Naver Place reviews, Melon charts, Daangn/Bunjang marketplace, Naver News, Musinsa fashion rankings. 7 tools powered by Apify actors.
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    MIT