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 provides an XML tree format output.
Generates statistics related to the project for better understanding and management.
Identifies and analyzes the technologies used within the project.
Analyzes the structure of the code to provide insights on organization and potential improvements.
Analyzes the import statements in the code to identify dependencies and their usages.
Performs analysis on a specific file to provide detailed insights.
Finds all references to a specific element within the codebase.
Performs various file operations that may modify or delete files (backup recommended).
Creates dated backups of files to help manage changes and versions.
Modifies code line by line (currently has significant issues, use with caution).
Checks the syntax of the code for errors and warnings.
Identifies patterns in the code that may need attention or improvement.
Finds where specific patterns are used throughout the codebase.
Searches for specific content within the project files.
Searches through files to locate specific items or information.
Validates the code to ensure it meets certain standards and criteria.
