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fengchong demo
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Enables fetching and converting web content into various formats including HTML, JSON, plain text, and Markdown. It supports custom request headers and provides specialized tools for on-demand web data retrieval and transformation.
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Turn any OpenAPI 3.x spec into a runnable, stateful API environment for AI agents. Test real integration flows — multi-step workflows, persistent state, webhook delivery, retries, and edge cases — instead of guessing from docs or mocking endpoints. Generate committable markdown reports directly from Claude/Cursor. Includes 50+ pre-validated APIs like Stripe, GitHub, Twilio, OpenAI, and more.
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Enables comprehensive video and audio processing using FFmpeg, supporting tasks like metadata extraction, clipping, scaling, and adding transitions or overlays. It provides a high-performance interface for building media processing microservices via FastMCP.
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Provides access to comprehensive Chinese and multilingual Bible study resources from the Faith, Hope, Love (信望愛站) API, including verse lookup, original language analysis, commentaries, apocrypha, and topical studies.
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公开目录未提供摘要。
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Official MCP server for integration with Fibery.io
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A secure Model Context Protocol server that provides tools for calculating Fibonacci numbers, BMI, and generating code review prompts with comprehensive security measures for production deployment.
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A demonstration MCP server providing basic tools for returning greetings and performing mathematical addition. It serves as a practical workshop guide for setting up and configuring Model Context Protocol servers from scratch using Python.
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experimental gen ai mcp server to generate figma tokens
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The fileAI MCP Server offers a robust set of tools to work with the fileAI file processing pipeline. It allows for uploading files, performing Optical Character Recognition (OCR), classifying documents, and extracting structured data. The server leverages the Model Context Protocol (MCP) to provide
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MCP server that enforces pre-read checks and detailed commit documentation
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Provides secure file system operations for AI assistants including directory listing, file reading/writing, deletion, searching, and copying. Features safety controls like path validation, permission checks, and file size limits.
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Provides tools for common file processing operations including reading files, listing directories, searching across files, getting file info, and counting lines with built-in security features like path traversal protection.
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File Organizer AI - MCP server providing AI-powered tools and automation by MEOK AI Labs
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Secure file operations with configurable access controls
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Simple and secure file system mcp server
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MCP Server that enables LLMs to interact with the local filesystem.
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Provides secure filesystem access for AI assistants with optimizations like file reading limits and depth-limited traversal to improve token efficiency. It enables AI models to read, write, and search files within explicitly allowed directories while automatically skipping large system folders.
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A Model Context Protocol server that provides secure, sandboxed file system operations including reading, writing, and managing files within a configurable base directory. It features robust path traversal protection to ensure all file interactions remain confined to a safe, restricted environment.