This MCP server implementation, developed by seanivore, provides a SQLite-based storage solution for MCP data. Built with Python and leveraging libraries like mcp and pydantic, it offers a lightweight and portable database option for MCP applications. The implementation focuses on simplicity and ease of use, making it ideal for small to medium-scale projects or as a starting point for more complex MCP data management systems. It supports basic CRUD operations and can be easily integrated into existing MCP workflows. This server is particularly useful for developers looking to quickly set up a local MCP data store, prototype MCP-based applications, or build standalone tools that require persistent storage without the overhead of larger database systems.
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Analyzes the structure of the project and returns the results in an XML tree format.
Provides statistical data about the project, including various metrics.
Identifies and analyzes the technologies used in the project.
Analyzes the structure of the codebase for better understanding and insights.
Analyzes the import statements in the code to check for unused or redundant imports.
Analyzes a specific file for potential issues and improvements.
Finds all references to a specific item within the codebase.
Performs various file operations that may modify or delete files.
Creates dated backups of files before modifications are made.
Modifies code line by line, though currently has significant issues.
Checks the syntax of the code for errors and issues.
Searches for specific patterns in the codebase.
Finds where specific patterns are used throughout the codebase.
Searches for specific content within files in the project.
Conducts a search for files based on specified criteria.
Validates the code to ensure it meets certain standards and practices.
