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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Highlight AIAnalyzes the structure of a project and returns the results in XML tree format.
Provides statistical analysis of the project.
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 metrics.
Finds references to specific code elements within the project.
Performs various file operations that may modify or delete files.
Creates dated backups of files for version control.
Performs line-by-line modifications to the code (currently has big issues).
Checks the syntax of the code for errors.
Finds specific patterns in the code.
Finds usages of specific code patterns within the project.
Searches for specific content within the codebase.
Searches through files in the project for specific criteria.
Validates the code for correctness and best practices.
