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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Analyze the structure of the project and return results in XML tree format.
Analyze and provide statistics about the project.
Analyze the technologies used within the project.
Analyze the structure of the code within the project.
Analyze the import statements in the code.
Analyze a specific file in the project.
Find all references to a particular code element throughout the project.
Perform various file operations that may modify or delete files.
Create dated backups of files as part of version control.
Modify code line by line (currently has big issues).
Check the syntax of the code for errors.
Find specific patterns within the code.
Find usages of specific patterns in the code.
Search for specific content within the codebase.
Search through files in the project for specific terms.
Validate the code to ensure it meets certain criteria.
