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Grigori
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Grigori

Grigori is a desktop application that helps developers manage and organize programming specifications, architectural patterns, and development preferences through the MCP protocol, enabling AI programming assistants to access personalized coding contexts.
Developer toolsKnowledge management and memory#Coding specification management#MCP integration#Architectural patterns.C#
2.5 points
5.7K
Open Site

Overview

Installation

Content Details

Alternatives

What is Grigori?

Grigori is a desktop application specifically designed to manage and organize your personal or team's coding standards and architectural patterns. It runs a local MCP server, allowing AI coding assistants (such as Claude Code) to access your personalized coding context, thereby providing more customized coding suggestions.

How to use Grigori?

First, install and run the Grigori desktop application. Then, configure the MCP connection in your AI assistant (such as Claude Code). Once the connection is successful, the AI assistant can query your coding standards and preferences while helping you code.

Use cases

Suitable for individual developers, team leaders, or architects who want to maintain consistent coding styles and architectural standards across different projects. It is particularly useful for: initializing new projects, unifying team code specifications, managing personal coding habits, and scenarios where you want the AI assistant to better understand your coding preferences.

Main features

Coding context management
Define and manage your coding patterns, design preferences, and avoidance rules. It includes pattern descriptions, reasons for use, priority settings, etc., to help the AI assistant understand your coding habits.
Architectural context management
Manage architectural patterns, layer dependencies, code templates, and naming conventions. It supports ASCII chart display of the architecture and defines allowed and prohibited inter - layer dependencies.
MCP protocol integration
It has a built - in MCP server, providing more than 40 tools for AI assistants to read and write context. It supports connection with MCP - compatible clients such as Claude Code and Cursor.
Export function
You can export your coding context as a CLAUDE.md file, which is convenient for use in projects without MCP support.
Cross - platform support
Developed based on.NET MAUI, it supports Windows, macOS, and Linux systems, meeting the needs of different development environments.
Advantages
Personalized AI assistant: Let the AI coding assistant truly understand your coding habits and standards
Structured management: Manage coding standards and architectural patterns in a systematic way
Real - time access: The AI assistant can query your coding context in real - time to provide more accurate suggestions
Team collaboration: Facilitate the team to unify coding specifications, and new members can quickly understand project standards
Offline use: Data is stored in a local SQLite database, protecting privacy and not requiring a network connection
Limitations
Dependent on the MCP protocol: The full functionality requires the AI assistant to support the MCP protocol
Initial configuration: It takes some time to set up and define coding standards
Desktop application: Currently mainly a desktop application, with limited mobile support
Learning curve: You need to understand basic architectural and pattern concepts to use it effectively

How to use

Install and run Grigori
Clone the project repository, build and run the desktop application using the.NET SDK.
Configure AI assistant connection
Add the Grigori server configuration in the MCP settings of your AI assistant (such as Claude Code).
Define coding standards
Add your coding patterns, design preferences, and architectural rules in the Grigori application.
Start using
Start the AI assistant, and it can now access your coding context and provide personalized suggestions.

Usage examples

New project initialization
When starting a new project, the AI assistant can query your architectural preferences and suggest a suitable project structure and pattern.
Code review assistance
When writing code, the AI assistant can check if the code complies with your coding standards and provide improvement suggestions.
Team new member guidance
New team members can quickly understand the team's coding specifications and architectural decisions through the AI assistant.

Frequently Asked Questions

Which AI assistants does Grigori support?
Where is the data stored? Is it secure?
Do I need programming knowledge to use it?
Can the coding standards be shared within the team?
What if the AI assistant does not support MCP?

Related resources

GitHub repository
Source code and latest version of Grigori
MCP protocol documentation
Official specification documentation of the Model Context Protocol
.NET MAUI documentation
Documentation of the cross - platform UI framework used by Grigori
Claude Code MCP guide
How to configure the MCP server in Claude Code

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "grigori": {
      "url": "http://localhost:3001/sse"
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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