iac-memory-mcp-server
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MCP Server for Infrastructure-as-Code (IaC) resource management and analysis.
iac-memory-mcp-server
MCP Server for Infrastructure-as-Code (IaC) resource management and analysis.
Components
Resources
The server implements a resource management system with:
- Custom resource:// URI scheme for accessing internal resources
- Each resource has a name, content, and configurable MIME type
- Resources can represent IaC configurations, documentation, and analysis results
Prompts
The server provides IaC-specific prompts for resource discovery and analysis:
search_resources
Search for Infrastructure-as-Code resources across providers:
result = await session.get_prompt("search_resources", {
"provider": "aws", # Cloud provider (aws, azure, gcp)
"resource_type": "s3_bucket" # Resource type to search
})
# Returns matching resources with schema versions and documentation
analyze_entity
Analyze infrastructure entities and their relationships:
result = await session.get_prompt("analyze_entity", {
"entity_id": "entity-123", # ID of entity to analyze
"include_relationships": "true" # Optional: include related entities
})
# Returns detailed analysis including:
# - Entity configuration
# - Recorded observations
# - Related entities (if requested)
# - Relationship types and depths
Tools
The server implements comprehensive CRUD operations:
Entity Management and Relationships:
- create_entity: Create new infrastructure entities
- read_entity: Retrieve entity details
- update_entity: Modify existing entities
- delete_entity: Remove entities and related data
- view_relationships: Analyze entity relationships and dependencies
# View all relationships result = await session.call_tool("view_relationships", {}) # View relationships for specific entity result = await session.call_tool("view_relationships", { "entity_id": "entity-123" })
Resource Management:
- add_resource: Add new resources
# Add a new resource with custom MIME type result = await session.call_tool("add_resource", { "name": "aws-s3-config", "content": "bucket_name: my-bucket\nregion: us-east-1", "mime_type": "application/yaml" # Optional }) # Add plain text resource result = await session.call_tool("add_resource", { "name": "deployment-notes", "content": "Deployment steps for production..." })
Configuration
The server can be configured through environment variables:
DATABASE_URL: Path to SQLite database file (default: in-memory)CLIENT_PORT: Port for MCP Inspector client UI (default: 5173)SERVER_PORT: Port for MCP Inspector proxy server (default: 3000)
For development, you can also use a .env file:
DATABASE_URL=/path/to/db.sqlite
CLIENT_PORT=5173
SERVER_PORT=3000
Quickstart
Install
Claude Desktop
On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
Development/Unpublished Servers Configuration
``` "mcpServers": { "iac-memory-mcp-server": { "command": "uv", "args": [ "--directory", "/home/herman/Documents/vscode/iac-memory-mcp-server", "run", "iac-memory-mcp-server" ] } } ```Published Servers Configuration
``` "mcpServers": { "iac-memory-mcp-server": { "command": "uvx", "args": [ "iac-memory-mcp-server" ] } } ```Development
Building and Publishing
To prepare the package for distribution:
- Sync dependencies and update lockfile:
uv sync
- Build package distributions:
uv build
This will create source and wheel distributions in the dist/ directory.
- Publish to PyPI:
uv publish
Note: You'll need to set PyPI credentials via environment variables or command flags:
- Token:
--tokenorUV_PUBLISH_TOKEN - Or username/password:
--username/UV_PUBLISH_USERNAMEand--password/UV_PUBLISH_PASSWORD
Debugging
Since MCP servers run over stdio, debugging can be challenging. For the best debugging experience, we strongly recommend using the MCP Inspector.
You can launch the MCP Inspector via npm with this command:
npx @modelcontextprotocol/inspector uv --directory /home/herman/Documents/vscode/iac-memory-mcp-server run iac-memory-mcp-server
Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.
