Agentwong Iac Memory MCP Server Project
A

Agentwong Iac Memory MCP Server Project

An MCP server that provides persistent storage for infrastructure-as-code (IaC) for Claude AI, focusing on version tracking and relationship mapping of Terraform and Ansible resources.
2 points
5.2K

What is the IaC Memory MCP Server?

The IaC Memory MCP Server is a server dedicated to the persistent storage and version tracking of infrastructure-as-code (IaC) components. It helps users manage and analyze Terraform and Ansible resources more efficiently by providing functions such as version control and relationship mapping.

How to use the IaC Memory MCP Server?

Users can add, query, and manage IaC resources through simple commands and interfaces. The server supports integration with multiple platforms and tools, making it suitable for development teams that require versioned management.

Applicable scenarios

Suitable for infrastructure-as-code projects that require versioned management, such as Terraform and Ansible. Particularly suitable for complex systems that require long-term maintenance and updates.

Main features

Resource management
Supports the persistent storage of Terraform and Ansible resources, providing version control and relationship mapping.
Resource search
Quickly find IaC resources based on specific conditions.
Entity analysis
Conduct in-depth analysis of entities and their dependencies, providing detailed context information.
Terraform toolset
Includes functions such as resource addition, version update, and information retrieval.
Ansible toolset
Supports the management and version control of modules and collections.
Relationship analysis
Automatically identify and visualize the dependencies between resources.
Advantages
Powerful version control capabilities ensure the consistency and traceability of resources.
Comprehensive relationship mapping facilitates the understanding and maintenance of complex infrastructures.
Supports multiple IaC tools to meet the needs of different projects.
Automated analysis reduces manual intervention and improves efficiency.
Limitations
There may be performance limitations for large-scale projects.
Requires certain initial configuration and learning costs.
Some advanced functions may require additional plugin support.

How to use

Installation and configuration
Download and install the IaC Memory MCP Server, and configure the database connection and other environment variables.
Start the server
Start the server using the configuration file, ensuring that all environment variables are correctly set.
Add resources
Add new IaC resources through the command-line tool, such as Terraform providers or Ansible modules.

Usage examples

Search for Terraform resources
Users can search for specific Terraform resources, such as AWS S3 buckets.
Analyze entity relationships
Analyze entities and their dependencies, and generate visual charts.

Frequently Asked Questions

Does the IaC Memory MCP Server support multiple platforms?
How to update the provider version?
Is there a free trial version?

Related resources

GitHub repository
The source code repository of the IaC Memory MCP Server.
Documentation
Detailed user manuals and technical documentation.
Demo video
Introduces the functions and usage methods of the IaC Memory MCP Server.

Installation

Copy the following command to your Client for configuration
"mcpServers": {
  "iac-memory": {
    "command": "uv",
    "args": [
      "--directory",
      "/path/to/iac-memory-mcp-server",
      "run",
      "iac-memory-mcp-server"
    ]
    "env": {
          "DATABASE_URL": "sqlite:////home/herman/iac.db"
      }
  }
}

"mcpServers": {
  "iac-memory": {
    "command": "uvx",
    "args": [
        "--from",
        "git+https://github.com/AgentWong/iac-memory-mcp-server.git",
        "python",
        "-m",
        "iac_memory_mcp_server"
    ],
    "env": {
          "DATABASE_URL": "sqlite:////home/herman/iac.db"
      }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

C
Claude Context
Claude Context is an MCP plugin that provides in - depth context of the entire codebase for AI programming assistants through semantic code search. It supports multiple embedding models and vector databases to achieve efficient code retrieval.
TypeScript
6.5K
5 points
A
Acemcp
Acemcp is an MCP server for codebase indexing and semantic search, supporting automatic incremental indexing, multi-encoding file processing, .gitignore integration, and a Web management interface, helping developers quickly search for and understand code context.
Python
8.7K
5 points
B
Blueprint MCP
Blueprint MCP is a chart generation tool based on the Arcade ecosystem. It uses technologies such as Nano Banana Pro to automatically generate visual charts such as architecture diagrams and flowcharts by analyzing codebases and system architectures, helping developers understand complex systems.
Python
8.5K
4 points
M
MCP Agent Mail
MCP Agent Mail is a mail - based coordination layer designed for AI programming agents, providing identity management, message sending and receiving, file reservation, and search functions, supporting asynchronous collaboration and conflict avoidance among multiple agents.
Python
8.7K
5 points
M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
13.4K
5 points
A
Aderyn
Aderyn is an open - source Solidity smart contract static analysis tool written in Rust, which helps developers and security researchers discover vulnerabilities in Solidity code. It supports Foundry and Hardhat projects, can generate reports in multiple formats, and provides a VSCode extension.
Rust
8.8K
5 points
D
Devtools Debugger MCP
The Node.js Debugger MCP server provides complete debugging capabilities based on the Chrome DevTools protocol, including breakpoint setting, stepping execution, variable inspection, and expression evaluation.
TypeScript
9.1K
4 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
11.1K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
16.7K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
27.8K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
18.9K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
55.3K
4.3 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
53.0K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
23.8K
5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
37.2K
4.8 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
17.5K
4.5 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase