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.
Windows-first MCP server for deterministic file writes with atomic create, replace, and structured edit operations, preserving encoding and newline styles.
MCP server that enables LLMs to read and analyze Microsoft Project schedules, including critical path, resources, and advanced construction planning layers (AWP and LPS) for work packages and Lean planning.
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.
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.
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.
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 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.
A Model Context Protocol server that allows LLMs to interact with Python environments, execute code, and manage files within a specified working directory.
Local-first MCP server that transforms civil case PDFs into queryable cases with structural provenance, evidence IDs, and page-level verification for drafting and factual review.