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Why this server?
Provides secure, read-only access to directory files via the MCP, supporting file searching, .gitignore compliance, path traversal protection, and MIME type detection using the 'file://' URI scheme.
Why this server?
A Model Context Protocol server that extracts and analyzes Python code structures, focusing on import/export relationships between files to help LLMs understand code context.
Why this server?
Enables AI models to perform file system operations (reading, creating, and listing files) on a local file system through a standardized Model Context Protocol interface.
Why this server?
Converts various file formats to Markdown using the MarkItDown utility and can be integrated with MCP clients for seamless document processing and conversion.
Why this server?
This advanced memory server facilitates neural memory-based sequence learning and prediction, enhancing code generation and understanding through state maintenance and manifold optimization as inspired by Google Research's framework.
Why this server?
Provides comprehensive document processing, including reading, converting, and manipulating various document formats with advanced text and HTML processing capabilities.
Why this server?
Enables browser automation using Python scripts, offering operations like taking webpage screenshots, retrieving HTML content, and executing JavaScript.
Why this server?
A Model Context Protocol server that allows execution of Python code within Daytona workspaces, providing a secure and isolated environment for executing and managing Python scripts.
Why this server?
This server provides an interface for performing basic file system operations such as navigation, reading, writing, and file analysis, allowing users to manage directories and files efficiently.
Why this server?
A smart code retrieval tool based on Model Context Protocol that provides efficient and accurate code repository search capabilities for large language models.