SQLite
Summary
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.
Available Actions(16)
analyze_project_structure
Analyze the structure of the project and return it in XML tree format.
analyze_project_statistics
Analyze and provide statistical insights about the project.
analyze_project_technology
Analyze the technologies used in the project.
analyze_code_structure
Analyze the structure of the code within the project.
analyze_imports
Analyze the import statements in the code.
analyze_file
Analyze a specific file for code quality and issues.
find_references
Find references to specific code elements throughout the project.
file_operations
Perform file operations that could potentially modify or delete files.
version_control
Create dated backups of the project files.
code_modifier
Modify code line by line within the project (currently has big issues).
check_syntax
Check the syntax of the code for errors.
find_code_patterns
Identify patterns in the code.
find_pattern_usages
Find usages of specific patterns within the code.
search_content
Search for specific content within the codebase.
search_files
Search through files in the project for specific criteria.
validate_code
Validate the code to ensure it meets certain standards and criteria.
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