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 project structure and outputs it in XML tree format.
Generates statistics about the project, providing insights into various metrics.
Analyzes the technologies used in the project and provides relevant information.
Analyzes the structure of the codebase to understand its organization and layout.
Analyzes import statements in the code to identify dependencies and their usage.
Analyzes a specific file for issues and provides insights or suggestions.
Finds references to specific identifiers within the codebase.
Performs various file operations that may modify or delete files.
Creates dated backups of files to help manage changes over time.
Performs modifications to the code line by line (currently has significant issues).
Checks the syntax of the code to identify any errors.
Searches for specific patterns in the code to help identify common structures or issues.
Identifies where specific patterns are used within the codebase.
Searches for specific content within files in the project.
Searches for files in the project based on specified criteria.
Validates the code to ensure it meets certain standards or requirements.
