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 AIAnalyze the structure of the project and return the results in XML tree format.
Analyze statistics related to the project.
Analyze the technologies used in the project.
Analyze the structure of the code within the project.
Analyze the import statements in the code.
Analyze a specific file in the project.
Find references to a specific code element in the project.
Perform file operations that could modify or delete files. Always backup before use.
Create dated backups of files.
Modify code line by line. Note: currently has big issues.
Check the syntax of the code.
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Find usages of specific patterns in the code.
Search for specific content in the codebase.
Search through files in the project.
Validate the correctness of the code.
