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"Using Jira MCP API in Python" matching MCP servers:

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    MCP server for Archicad automation, enabling AI assistants to run Python scripts against running Archicad instances via the Tapir JSON API for complex workflows.
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    MIT
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    Connects MCP clients to a local Blender + Bonsai (BlenderBIM) session for scene inspection, IFC project querying, viewport screenshots, and executing Python code in Blender.
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    MIT
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    An unofficial MCP server for generating infographics and visuals from text using the Napkin AI API, enabling AI assistants to create professional diagrams, mindmaps, and charts.
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    MIT
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    Enables natural language interaction with Unreal Engine, providing 127 tools across 16 subsystems for tasks like actor manipulation, asset management, blueprint creation, and more, using built-in Python and Remote Control plugins.
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    A Python MCP server that allows your agent to outsource HTML generation and rendering, storing artifacts in memory and supporting both full HTML and resource URIs.
    7
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    Enables AI assistants to generate Autodesk Fusion 360 Python scripts through natural language commands, using the Model Context Protocol (MCP) for tool calls and script generation.
    5
    MIT
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    Enables AI assistants to control Blender 3D modeling software through a stable, goal-oriented tool API for safer and more reliable 3D scene manipulation.
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    Apache 2.0
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    Enables AI assistants to generate styled QR codes with customizable colors, styles, gradients, and frames, as well as typed QR codes for WiFi, vCard, etc., using the QRMint API without requiring an API key.
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    MIT
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    MCP server for KiCad 10 that enables AI assistants to inspect and control schematics and PCB layouts in real-time using the official kipy Python bindings.
    MIT
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    Generate 25+ types of hand-drawn Excalidraw diagrams - flowcharts, sequence, architecture, mind maps, ER, UML, kanban, bar/line/radar charts - from structured input with Sugiyama auto-layout and CJK support. Reads and modifies .excalidraw files, exports SVG. Python, local, no API keys required.
    3
    MIT
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    Enables AI assistants like Claude to control the Scribus desktop publishing app for document creation, editing, and export via its Python Scripter API, supporting both headless and interactive modes with ~125 tools.
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    MIT
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    Manages design tokens (colors, spacing, fonts) in a JSON file and enables agents to read, write, export, and detect drift between tokens and CSS via MCP.
    5
    MIT
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    MCP server for interacting with Autodesk Maya sessions, enabling multi-session management, arbitrary Python execution, and streaming output capture.
    4
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    MIT
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    MCP server for Uiverse.io that lets AI agents browse, search, and fetch open-source UI components (HTML + CSS) directly in their editor. No API key required, it indexes 3,800+ components locally.
    7
    MIT