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Iac Memory Mcp Server Project

@AgentWongon a year ago
5 MIT
FreeCommunity
AI Systems
This is a personal project to determine whether or not Claude 3.5 Sonnet can write moderately complex MCP Server code (Python).

Overview

What is Iac Memory Mcp Server Project

The iac-memory-mcp-server-project is a personal initiative aimed at exploring the capabilities of Claude 3.5 Sonnet in generating moderately complex MCP Server code using Python. It focuses on providing persistent memory storage for Infrastructure-as-Code (IaC) components, emphasizing version tracking and relationship mapping for Terraform and Ansible resources.

Use cases

Use cases for the iac-memory-mcp-server encompass managing Terraform and Ansible resources, providing insights into IaC components, facilitating version control, and enabling automated relationship analysis for infrastructure entities.

How to use

To use the iac-memory-mcp-server-project, set up the server by configuring environment variables such as DATABASE_URL for SQLite database location. You can run the server in development mode using commands to install dependencies and execute tests. For production, appropriate configurations in JSON format are required to integrate with Claude Desktop.

Key features

Key features of the iac-memory-mcp-server include persistent storage and version tracking for IaC components, hierarchical resource organization with URI-based access, comprehensive relationship mapping, version-specific documentation management, schema validation, and automated relationship analysis.

Where to use

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Content

IaC Memory MCP Server

A Model Context Protocol (MCP) server that enhances Claude AI’s capabilities by providing persistent memory storage for Infrastructure-as-Code (IaC) components, with a focus on version tracking and relationship mapping for Terraform and Ansible resources.

[!NOTE]
This was a personal project to determine the state of AI’s ability if the person using it (me)
doesn’t have subject matter expertise (lack of Python knowledge). Since it has become rather cost
prohibitive, I do not intend to develop or maintain this project further.

Overview

The IaC Memory MCP Server addresses the challenge of maintaining accurate, version-aware context for IaC components by providing:

  • Persistent storage and version tracking for IaC components
  • Hierarchical resource organization with URI-based access
  • Comprehensive relationship mapping between components
  • Version-specific documentation management
  • Schema validation and temporal metadata tracking
  • Automated relationship analysis and insights

Core Components

Resource Management

The server implements a sophisticated resource management system with hierarchical URIs:

Resource URI Structure

resources://<platform>/<category>/<name>

Supported platforms:

  • terraform
  • ansible
  • iac (for general infrastructure entities)

Example URIs:

resources://terraform/providers/aws
resources://terraform/resources/aws/s3_bucket
resources://ansible/collections/community.aws
resources://ansible/modules/community.aws/s3_bucket

Resource Templates

The server provides dynamic resource templates for standardized access patterns:

  • Terraform provider information: resources://terraform/providers/{provider_name}
  • Resource type details: resources://terraform/resources/{provider_name}/{resource_type}
  • Ansible collection data: resources://ansible/collections/{collection_name}
  • Module information: resources://ansible/modules/{collection_name}/{module_name}

Prompts

The server implements four specialized prompts for IaC component discovery and analysis:

search_resources

  • Purpose: Search for IaC resources
  • Arguments:
    • provider: Provider name
    • resource_type: Resource type
  • Returns: Information about specific resources for the given provider

analyze_entity

  • Purpose: Analyze an entity and its relationships
  • Arguments:
    • entity_id: Entity ID
    • include_relationships: Include relationships
  • Returns: Detailed entity analysis including name, type, and observations

terraform_provider

  • Purpose: Get information about a Terraform provider
  • Arguments:
    • provider_name: Name of the Terraform provider (required)
    • version: Specific version to query (optional)
  • Returns: Detailed provider information for the specified version

ansible_module

  • Purpose: Get information about an Ansible module
  • Arguments:
    • collection_name: Name of the Ansible collection (required)
    • module_name: Name of the module (required)
    • version: Specific version to query (optional)
  • Returns: Detailed module information for the specified version

Tools

The server implements comprehensive tooling for IaC component management:

Terraform Tools

  • get_terraform_provider_info: Retrieve detailed provider information including version and resources
  • list_provider_resources: List all resources available for a specific provider
  • get_terraform_resource_info: Get detailed information about a specific resource type
  • add_terraform_provider: Register new providers with versioning
  • add_terraform_resource: Add resource definitions with schemas
  • update_provider_version: Update provider versions with new documentation

Ansible Tools

  • get_ansible_collection_info: Get detailed information about an Ansible collection
  • list_ansible_collections: List all available Ansible collections
  • get_collection_version_history: View version history of a collection
  • get_ansible_module_info: Get detailed information about a specific module
  • list_collection_modules: List all modules in a collection
  • get_module_version_compatibility: Check version compatibility of modules
  • add_ansible_collection: Register new Ansible collections
  • add_ansible_module: Add new modules with validation and documentation

Entity Operations

  • create_entity: Create new infrastructure entities
  • update_entity: Modify existing entity configurations
  • delete_entity: Remove entities with relationship cleanup
  • view_relationships: Analyze entity dependencies and relationships

Configuration

The server supports configuration through environment variables:

  • DATABASE_URL: SQLite database location
  • MCP_DEBUG: Enable debug logging when set
  • MCP_TEST_MODE: Enable test mode for database resets

For development, create a .env file:

DATABASE_URL=sqlite:////path/to/db.sqlite
MCP_DEBUG=1
MCP_TEST_MODE=1

Integration with Claude Desktop

Development Setup

Production Setup

Development

Local Development

# Install dependencies
uv sync

# Run tests
uv run pytest

# Development server with MCP Inspector
npx @modelcontextprotocol/inspector uv run iac-memory-mcp-server

License

This project is licensed under the MIT License - see the LICENSE file for details.

Tools

No tools

Comments

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