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 provides an XML tree format output.
Generates statistics about the project, offering insights into its complexity and size.
Determines the technologies used in the project and provides relevant information.
Analyzes the structure of the code within the project to identify patterns and organization.
Analyzes the import statements in the code to identify dependencies and potential issues.
Analyzes a specific file for code quality and potential improvements.
Finds references to a particular piece of code throughout the project.
Performs various file operations that may modify or delete files.
Creates dated backups of the project to facilitate version control.
Modifies code line by line, although currently has significant issues.
Checks the syntax of the code to identify any errors.
Identifies patterns within the code that may need attention.
Finds where specific patterns are used within the codebase.
Searches for specific content within the project's files.
Searches through files in the project to locate specific entries or patterns.
Validates the code to ensure it meets defined standards and requirements.
