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    MCP server for creating and editing diagrams using draw.io. Allows generating diagrams from Mermaid or XML, searching shapes, and opening them in draw.io for export.
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    Apache 2.0
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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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    142 npm
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    MIT
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    Official Talonic MCP server. Lets AI agents extract structured, schema-validated data from any document, including PDFs, scans, images, spreadsheets, and forms, directly inside the chat.
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    552 npm
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    MIT
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    This server enables AI models to access the Städel Museum's digital collection via OAI-PMH, allowing harvesting of records, retrieval of multilingual metadata, and fetching of high-resolution images.
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    MIT
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    Enables AI agents to read, reply, send images, and search LINE messages by logging in as a secondary device, without official API or browser.
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    Lets AI agents turn an existing STL, a sketch, or a plain-language description of a part with its mounts and loads into a topology-optimized, printable STL. Includes problem checks with time estimates, a live dashboard of the run, fine passes, and print/stress verification that returns the final mesh and mass, stiffness and run-time metrics.
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    Enables an assistant to find and view photos in one Google Photos library using Google Photos' own search and image views, with no write access.
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    MIT
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    This MCP server enables MCP Apps-compatible hosts to render an interactive React-based UI and invoke a sample tool over streamable HTTP or stdio transports.
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    First public release of @hou-tea/mcp-server. The first MCP server that lets any AI agent (Claude Desktop, Cursor, Cline, Continue, Zed) browse, recommend, compare, and buy authentic Chinese tea from hou-tea.com using USDC stablecoin via the x402 protocol. Install ```bash npx @hou-tea/mcp-server ```
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    Enables coding agents to retrieve only the JavaScript/TypeScript code needed for a given task within a token budget, using TypeScript compiler analysis and a decision model to judge relevance.
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    MIT