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"How to read PDFs and images" matching MCP servers:

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    An MCP server that extracts energy-usage charts from utility-bill PDFs, returning structured time-series data and annotated images.
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    AGPL 3.0
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    Give AI agents access to Formester form submissions. Read individual responses, search and filter across forms, write AI-generated insights back as custom fields, and process file attachments including PDFs and images.
    MIT
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    Enables querying Tableau lineage through the Metadata API via MCP, supporting impact analysis, where-used lookups, and content search. Provides read-only tools for answering natural-language questions about workbooks, datasources, fields, and dependencies.
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    MIT
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    MCP server for AI Diagram Maker — generate software engineering diagrams from natural language, code, ASCII diagram, images, or Mermaid. Inline diagram rendering using MCP apps UI and diagram URL in responses. Works with Cursor, Claude Desktop, Claude Code, and any MCP-compatible AI.
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    MIT
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    Renders OHLCV data as candlestick chart PNGs and returns inline images. It is a pure renderer with no network access, allowing models to view charts generated from provided data.
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    MCP server that opens a native desktop window to display rich content (Markdown, HTML, Mermaid diagrams, images) with real-time updates via SSE.
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    MIT
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    | 地価トレンド予測 | 新宿区の5年後地価をAI予測。CAGR・投資シグナル付き | | 企業立地需要分析 | 名古屋市中区のオフィス・工場需要スコアを算出 | | ファミリー向け適性評価 | 横浜市西区の教育・安全・医療スコアを総合評価 | | ポートフォリオ最適化 | 東京・大阪・埼玉の3エリアに投資配分を最適化 | | What-If シナリオ分析 | 大阪市中央区で新駅開設シナリオを試算 | | 店舗出店適地評価 | 福岡市博多区の人流・商業施設・交通データで出店適性を判定 |
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    AGPL 3.0
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    A local stdio MCP server for a self-hosted GeoGebra 5.0 Web bundle. It enables executing GeoGebra commands with structured feedback, querying commands, evaluating CAS, managing state, and exporting images using headless Chromium.
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    MIT
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    Enables AI agents to render branded charts as inline images and persistent hosted URLs, supporting explicit chart types and automatic chart suggestion from data.
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    MIT
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    QGISMCP connects QGIS to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control QGIS for project creation, layer loading, code execution, and more.
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