Locate files in a project containing specific text chunks within logical code segments. Use this tool to streamline codebase searches and identify relevant files for detailed analysis.
Format academic citations from URLs in text blocks into APA-style references using a dedicated tool on the MCP Hub, ensuring proper citation structure.
Search across all files in an Obsidian vault to find documents matching a specific text query, with customizable context length for results. Ideal for quick and targeted text retrieval.
Search for specific text within a file and retrieve matching lines with their line numbers and full content. Ideal for pinpointing and analyzing text in structured file operations.
Determine the total number of chunks for a file read request on the MCP File Context Server. Use with matching parameters to plan efficient content retrieval and avoid unnecessary requests.
An MCP server that intelligently chunks large documents for Claude, enabling efficient context-aware processing and summary generation for enhanced document comprehension.
Provides comprehensive text analysis capabilities including character counting, word statistics, character type analysis, and text length validation for Korean and English text. Supports AI agents in analyzing and validating text content with detailed statistics and Unicode support.