Persistent Infrastructure Artifact Registry and Context Engine

This Model Context Protocol (MCP) service is architected to bolster advanced AI reasoning (specifically Claude's context window) by establishing a persistent, granular memory repository for Infrastructure-as-Code (IaC) definitions. Its primary specialization lies in rigorously tracking changes across versions of Terraform modules/providers and Ansible roles/modules, coupled with the generation of an explicit dependency and relationship graph among these computed resources.

[!CAUTION] This undertaking originated as a personal proof-of-concept to gauge AI utility when the operator possesses negligible subject matter depth (e.g., limited proficiency in Python programming). Due to escalating operational expenditures, further iterative development or sustained maintenance activities are indefinitely suspended.

Functional Synopsis

The Infrastructure State Persistence Engine resolves the ambiguity inherent in managing dynamic IaC contexts by offering:

• Durable persistence and complete chronological traceability for all ingested IaC configurations.
• A structured, hierarchical organizational paradigm for resources, accessible via Uniform Resource Identifiers (URIs).
• A deep, comprehensive map detailing inter-component dependencies and relationships.
• Version-specific documentation retrieval and archival management.
• Automated schema verification checks and temporal metadata attribution for all entries.
• Algorithmic generation of relationship insights and contextual inferences.

Foundational Components

Artifact Abstraction Layer

The server employs a highly granular resource abstraction mechanism utilizing hierarchical URIs for addressing:

Artifact URI Schema

artifacts:////

Supported management systems: - terraform - ansible - generic-iac (for abstract infrastructural constructs)

Illustrative URIs:

artifacts://terraform/providers/aws_vendor artifacts://terraform/resource_types/hashicorp_aws/s3_bucket_definition artifacts://ansible/collections/community_awslib artifacts://ansible/modules/community_awslib/ec2_instance_module

Canonical Artifact Templates

The system furnishes standardized access blueprints for predictable data retrieval: - Terraform Provider metadata: artifacts://terraform/providers/{provider_identifier} - Specific Resource definition: artifacts://terraform/resource_types/{vendor_namespace}/{resource_schema_name} - Ansible Collection manifests: artifacts://ansible/collections/{collection_identifier} - Module specification: artifacts://ansible/modules/{collection_identifier}/{module_identifier}

Query Protocols

The service exposes four distinct, specialized query protocols optimized for IaC artifact introspection:

discover_artifacts

• Objective: Catalogue and retrieve matching IaC artifacts.
• Parameters:
• vendor: The controlling provider/ecosystem name.
• artifact_classification: The specific resource type or module name.
• Output: Detailed records pertaining to artifacts satisfying the search criteria.

contextualize_element

• Objective: Perform deep analysis of an artifact and trace its derived connections.
• Parameters:
• element_uid: The unique identifier of the artifact being examined.
• traverse_links: Boolean flag to include the full relationship graph.
• Output: Rich entity analysis encompassing naming conventions, classification, and derived observations.

query_terraform_provider

• Objective: Fetch comprehensive specifications for a designated Terraform provider.
• Parameters:
• provider_name: The mandatory identifier for the Terraform provider.
• version_tag: An optional, specific version revision to target.
• Output: In-depth provider documentation keyed to the requested version.

query_ansible_module

• Objective: Retrieve documentation and schema for a specified Ansible module.
• Parameters:
• collection_name: The mandatory parent Ansible collection identifier.
• module_name: The mandatory target module identifier.
• version_tag: An optional revision marker for compatibility checking.
• Output: Detailed module specifications correlated with the requested version.

Management Toolset

The engine exposes a robust suite of operational utilities for artifact lifecycle management:

Terraform Artifact Utilities

• retrieve_provider_metadata: Obtain full provider specifications, including version matrix and associated resources.
• enumerate_provider_assets: List every defined resource schema under a given provider namespace.
• fetch_resource_schema: Secure detailed information for a specific resource schema.
• ingest_new_provider: Register novel providers, automatically initiating version control.
• register_resource_definition: Commit new resource definitions, including schema validation payload.
• refresh_provider_revision: Update existing provider entries with newer documentation sets.

Ansible Artifact Utilities

• retrieve_collection_manifest: Fetch comprehensive details concerning an Ansible collection.
• enumerate_all_collections: Generate a registry list of all indexed Ansible collections.
• access_collection_revision_log: Review the chronological history of collection updates.
• fetch_module_specification: Secure detailed schema for an individual Ansible module.
• list_collection_members: Provide an inventory of all modules housed within a collection.
• check_module_compatibility: Evaluate version synchronization between interdependent modules.
• register_new_collection: Onboard fresh Ansible collections into the repository.
• commit_module_definition: Input new modules, enforcing validation against established standards.

Contextual Entity Operations

• instantiate_entity: Provision a new infrastructure conceptual object.
• modify_entity_configuration: Apply alterations to existing entity definitions.
• deprecate_entity: Safely decommission entities, ensuring dependency graph pruning.
• visualize_interdependencies: Examine complex linkage structures and dependency chains.

Operational Parameters

The server initialization is customized via environment variables:

• PERSISTENCE_BACKEND_URI: Specifies the location for the underlying SQLite data store.
• ENGINE_VERBOSITY_LEVEL: Activates heightened diagnostic logging when set.
• ENGINE_SANDBOX_MODE: Enables a full database rollback/reset mechanism for testing.

For local deployment, configuration is typically supplied via a .env file: bash PERSISTENCE_BACKEND_URI=sqlite:////local/path/to/infra.db ENGINE_VERBOSITY_LEVEL=1 ENGINE_SANDBOX_MODE=1

Integration Profile for Claude Desktop

Initial Provisioning Sequence

"mcpServers": { "infra-state-engine": { "command": "uv", "args": [ "--root-dir", "/project/source/infrastructure-state-persistence-engine", "execute", "engine-bootstrap" ] "env": { "PERSISTENCE_BACKEND_URI": "sqlite:////user/home/developer/context.db" } } }

Operational Deployment Schema

"mcpServers": { "infra-state-engine": { "command": "uvx", "args": [ "--source", "git+https://github.com/AgentWong/iac-memory-mcp-server.git@v2.0.0", "launch", "service.cli" ], "env": { "PERSISTENCE_BACKEND_URI": "sqlite:////var/run/context.db" } } }

Development Workflow

Local Development Environment

bash

Acquire dependencies

uv sync --system

Execute verification suites

uv run check --suite=integration

Initiate the service alongside the MCP Inspection Proxy

node node_modules/@modelcontextprotocol/inspector/cli.js uv run engine-bootstrap

Licensing Declaration

This software artifact is distributed under the permissive MIT License terms; consult the LICENSE documentation file for exhaustive details.

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