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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Analyzes the structure of the project and outputs it in XML tree format.
Analyzes and provides statistics related to 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 to identify dependencies.
Analyzes a specific file for various code metrics and issues.
Finds all references to a specific code element within the project.
Performs file operations that may modify or delete files.
Creates dated backups of files as part of version control.
Performs modifications to code line by line, though currently has significant issues.
Checks the syntax of the code to identify any errors.
Searches for specific patterns in the codebase.
Finds usages of specific patterns identified in the code.
Searches for specific content within the codebase.
Searches through files in the project for specific criteria.
Validates the code to ensure it meets specified standards and requirements.
