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.
Nessuna recensione ancora. Sii il primo a recensire!
Accedi per unirti alla conversazione
Highlight AIAnalyze the structure of the project and return results in XML tree format.
Provide statistics about the project, such as lines of code, number of files, etc.
Identify the technologies used in the project.
Analyze the structure of the code within the project.
Analyze the import statements in the code to identify dependencies.
Perform a detailed analysis of a specific file.
Find all references to a specific code element within the project.
Perform file operations that may modify or delete files (backup recommended).
Create dated backups of files as part of version control.
Perform modifications to the code line by line (currently has big issues).
Check the syntax of the code for errors.
Identify patterns in the code that may need attention.
Find usages of specific patterns within the code.
Search through the content of files for specific text.
Search for files within the project directory.
Validate the code to ensure it adheres to specified standards.
