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Open-Source MCP servers

Production-ready MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.

10,362 servers. Last updated -

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    A simple and efficient MCP server that provides Base64 encoding and decoding functionality for both text and images with support for Data URL format.
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    Provides real-time screen capture streaming in base64 format via WebSocket connections, enabling Claude to view and analyze user screens through natural language requests.
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    A voice-to-text transcription service that converts audio files to transcripts using SiliconFlow, supporting both multipart/form-data and base64 formats.
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    Enables image processing and analysis using Google's Gemini 2.5 Flash model. Supports local files, URLs, and Base64 images with streaming responses and automatic output saving.
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    A Model Context Protocol server that enables fetching and processing images from URLs, local file paths, and numpy arrays, returning them as base64-encoded strings with proper MIME types.
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    Enables extraction of EXIF metadata from JPG and PNG images using publicly accessible URLs or Base64 encoded data. Provides camera information, technical parameters, and image details for photo analysis.
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    Enables users to generate high-quality images using ModelScope's Qwen-Image model through natural language prompts. Supports async task processing with both image URL and base64 encoded data output options.
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    Enables decoding QR codes from images provided as either base64 data URLs or HTTP(S) image URLs. Supports common image formats and returns the decoded text content with clear error handling.
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    MIT License
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    A Model Context Protocol server that extracts images from URLs or base64 data and converts them into a format suitable for LLM analysis, allowing AI models to process and understand visual content.
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    Provides voice recognition and text extraction capabilities with support for both stdio and MCP modes, processing audio files or base64 encoded data and returning structured results with language, emotion, and speaker information.
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    Enables AI assistants to render 3D models from OpenSCAD code, generating single views or multiple perspectives with full camera control. Supports animations, custom parameters, and returns base64-encoded PNG images for seamless integration.
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    Enables AI assistants to generate UML diagrams through natural language by rendering PlantUML code into PNG or SVG images. Supports sequence diagrams, class diagrams, use case diagrams, and other UML chart types with Base64-encoded output.
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    Enables secure file and bucket management operations with Supabase Storage through enterprise-grade security features, batch uploads/downloads, and comprehensive file management capabilities. Supports both local file paths and base64 data with advanced transformations and auto-download functionality.
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    MIT License