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 it in XML tree format.
Gathers and provides statistics about the project.
Identifies and analyzes the technologies used in the project.
Analyzes the structure of the code within the project.
Analyzes the import statements in the code.
Analyzes a specific file for issues and insights.
Finds references to a specific element in the code.
Performs various file operations that may modify files.
Creates dated backups of the project files.
Performs modifications to the code line by line (currently has big issues).
Checks the syntax of the code for errors.
Identifies patterns in the code.
Finds instances of specific patterns used in the code.
Searches for specific content within the code.
Searches through files for specific patterns or content.
Validates the code for correctness and standards.
