"Create a ZIP file with Python code for an OSINT monitoring project" matching MCP servers:

Provides tools for AI assistants to compress, decompress, and manage ZIP archives including metadata retrieval. It supports directory compression, password protection, and configurable extraction options.

An MCP tool that provides AI with the ability to compress and decompress local files.

Creates Windows-compatible ZIP files from macOS by normalizing Unicode filenames and removing forbidden characters, ensuring seamless file sharing.

An HTTP MCP server that indexes large documents into exact-line-numbered sections, enabling AI models to locate, read, summarize, and edit parts of a document without ingesting the whole file.

A FastMCP server that exposes predefined artifacts as Resources and project lifecycle operations as Tools for creating, updating, deploying, debugging, testing, monitoring, and configuring projects with minimal token usage.

Windows-first MCP server for deterministic file writes with atomic create, replace, and structured edit operations, preserving encoding and newline styles.

A powerful ZIP file processing tool that enables creating, extracting, listing, adding, deleting, viewing, and verifying ZIP files through MCP protocol integration with AI development environments.

Educational MCP server for basic file operations (read/write) via the Model Context Protocol.

Enables local analysis of unstructured documents (PDF, DOCX, PPTX, SVG, PNG) by extracting text and structure with citation anchors, and verifies summaries against source material before a human approves saving a report.

MCP server for file operations with non-UTF-8/Unicode encoding: Cyrillic, CP1251, CP1252, ISO-8859, KOI8 auto-detection

Enables blazingly fast file and content searching in large codebases using ripgrep, with intelligent filtering, fuzzy finding, and directory tree visualization while respecting .gitignore and avoiding common bloat directories.

A Python MCP server that generates complete Vue 3 CRUD structures with Composition API, including components, services, stores, and routes.

A secure MCP server for converting documents between Markdown, DOCX, HTML, PDF, and TXT formats within a sandboxed working directory.

Enables merging multiple files into a single file through a simple MCP interface. Provides a secure way to combine files while restricting access to only allowed directories.

Enables local file management through natural language interactions using the Gemini API, with tools for listing, reading, writing, deleting, and updating files.

A stateful MCP server that remembers what your AI agent has already seen.

Enables LLMs to interact with Python environments, execute code, manage files, and handle packages through the Model Context Protocol.

Enables comprehensive file operations including reading, writing, searching, and editing files with advanced features like regex-based replacements, line-specific modifications, and directory-wide search capabilities. Provides 8 robust tools for safe file manipulation with content verification and detailed error handling.

Local-first filesystem MCP bridge with ripgrep search, atomic writes, multiple transports

Enables AI agents to explore, analyze, and search file systems, with tools for directory trees, file statistics, duplicate detection, code counting, and multi-criteria file search.