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 returns it in XML tree format.
Provides statistical insights about the project.
Analyzes and identifies the technologies used in the project.
Examines the structure of the codebase.
Analyzes the import statements used in the code.
Analyzes a specific file for insights and issues.
Finds references to specified code elements within the codebase.
Performs various file operations, with a warning to backup before use.
Creates dated backups of files as part of version control.
Modifies code line by line, but currently has significant issues.
Checks the syntax of the code for errors.
Identifies patterns within the code.
Finds where specific patterns are used in the code.
Searches for specific content within the codebase.
Searches through files in the project for specific queries.
Validates the code to ensure it meets certain standards.