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 the project and outputs it in XML tree format.
Generates statistics about the project, providing insights into various metrics.
Identifies and analyzes the technologies used within the project.
Analyzes the structure of the codebase to provide insights into its organization.
Analyzes the import statements in the code to identify dependencies.
Analyzes a specific file for various issues and provides insights.
Finds references to specific elements in the codebase.
Performs file operations that may modify or delete files; backup is recommended.
Creates dated backups of files to manage versions effectively.
Performs modifications to the code line by line; currently has significant issues.
Checks the syntax of the code for potential errors.
Identifies patterns within the code to assist in analysis.
Finds usages of specific patterns identified in the code.
Searches for specific content within the codebase.
Searches through files in the project for specified queries.
Validates the code to ensure it meets specified criteria.
