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 returns it in XML tree format.
Generates statistics about the project, providing insights into its components.
Identifies and analyzes the technologies used within the project.
Analyzes the structure of the code within the project.
Analyzes the import statements in the code to determine dependencies.
Analyzes a specific file for issues and provides insights.
Finds and returns references to specific code elements within the project.
Performs various file operations that could modify or delete files.
Creates dated backups of files before modifications.
Modifies code line by line. Note: Currently has significant issues.
Checks the syntax of the code for errors.
Finds specific patterns within the code.
Identifies usages of specific patterns throughout the code.
Searches the content of files for specific strings or patterns.
Searches through files in the project for specific content.
Validates the code to ensure it meets certain standards.
