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"Using the web version of Perplexity AI" matching MCP servers:

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    A TypeScript-based MCP server that enables AI assistants to execute HTTP requests with full control over methods, headers, and body content. It facilitates seamless interaction with web APIs and endpoints through a versatile tool that handles automatic JSON formatting and response truncation.
    1
    MIT
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    Bridges the editing capabilities of an already-open DingTalk document in the browser to any MCP host via standard stdio, forwarding tools to the page's internal MCP server over a local WebSocket. Supports read/write operations through suggested edits, pairing-based security, and zero runtime dependencies.
    199
    MIT
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    Enables AI assistants to create and manage visual automation configurations, workflows, and UI states through the Qontinui API. It supports project management, workflow execution, and configuration handling for automated web interactions.
    AGPL 3.0
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    An MCP server that enables AI assistants to control Blender through 108 specialized tools for 3D modeling, animation, and rendering. It provides a secure, thread-safe interface to execute validated operations in Blender using natural language commands.
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    AGPL 3.0
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    Enables AI assistants to present multiple UI component designs in a browser for visual selection, with AI-powered design generation using MiniMax-M2.1 from natural language prompts or manual HTML input.
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    MIT
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    Give any LLM agent a real Android or iPhone. 62 MCP tools: tap, swipe, type, screenshot, screen-tree reading, app launch, camera, TTS, crash reports, batched execution. Android via ADB, iPhone via WebDriverAgent, on-device inference, Docker+KVM emulators. Works with Claude Code, Cursor, LangChain, LlamaIndex, and any MCP client. MIT.
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    310
    MIT
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    An MCP server that enables AI assistants to programmatically create and manage flowcharts, ERDs, and swimlane diagrams. It provides tools for manipulating diagram structures, performing auto-layouts, and exporting to Mermaid or Markdown formats.
    14
    MIT
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    Provides AI-powered educational tools for teachers including lesson planning, quiz creation, student progress analysis, learning path recommendations, and rubric generation. Enables educators to automate administrative tasks and personalize learning experiences through natural language interactions.
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    9
    MIT
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    An MCP server for converting App Store Optimization (ASO) data from platforms like App Store Connect into Web SEO data. It enables the creation of synced websites, keyword research, and automated blog content generation based on app store metadata.
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    MIT
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    Enables AI and LLM systems to interact with the Buttondown newsletter service, supporting email drafting, scheduling, analytics retrieval, and list management through a Model Context Protocol interface.
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    MIT
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    Drive the Unreal Engine 5.7 editor from any MCP client over a local TCP socket - 105 editor-automation tools (72 native C++ handlers + 33 bridge-side): actors, levels, materials, Blueprints, sequencer, rendering, asset import, editor Python. Native C++ plugin + thin Python bridge, ~50ms round-trips. MIT.
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    MIT
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    MCP server for the Paraph e-signature API that enables AI tools to fill PDF forms and manage electronic signing workflows. It provides tools for template management, document filling, sending signing requests, and tracking signing progress.
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    18
    MIT
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    Manage Job using MCP: Manage Job, Candidates, Resumes, Salaries all within this one MCP tools It can solve problems like: You have 50 resumes to screen. Your AI assistant can reason about candidates, but it can't: Read PDFs/DOCX — The AI can't open binary files Extract structured data — Copy-pasting loses formatting, metrics, and context Compare at scale — No consistent scoring across candida
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    MIT