Darwin Standards MCP Server

Darwin Standards MCP Server

Provides standards documentation and validation tools for the Darwin platform, including naming conventions and agent card validation. It enables AI agents to search platform standards and access resource templates for design and implementation.

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Darwin Standards MCP Server

MCP server providing standards documentation and validation tools for the Darwin platform.

Overview

The Standards MCP Server is designed to:

  1. Expose standards as MCP resources - Agents can read platform standards via standard URIs
  2. Provide validation tools - Validate naming conventions, tool definitions, and agent cards
  3. Enable standards search - Find relevant standards documentation quickly

Note: This is an MCP Server, not a true Agent. It provides tools and resources but does not contain an LLM and does not make autonomous decisions.

Quick Start

Option 1: Docker (Recommended for local development)

# Build and run
make build
make run

# Or with docker directly
docker build -t standards-mcp-server .
docker run -p 8080:8080 \
  -v /path/to/standards:/app/standards:ro \
  -e MCP_TRANSPORT=http \
  standards-mcp-server

Option 2: Local Installation

# Create virtual environment and install
make install

# Run locally (stdio mode)
make run-local

# Run locally (HTTP mode)
make run-http

Option 3: Claude Code Integration

# Using Python module directly
claude mcp add --transport stdio \
  --env STANDARDS_PATH=/path/to/docs/standards \
  standards -- python -m standards_mcp_server.server

# Using container
claude mcp add --transport stdio standards -- \
  docker run --rm -i \
  -v /path/to/docs/standards:/app/standards:ro \
  -e MCP_TRANSPORT=stdio \
  fgsansharedacrdeveus.azurecr.io/standards-mcp-server:latest

MCP Resources

Standards Documentation

URI Description
standards://agents/design Agent design principles
standards://agents/communication A2A protocol standards
standards://agents/tools MCP tool integration
standards://agents/memory Neo4j memory architecture
standards://agents/observability OpenTelemetry setup
standards://agents/security Security requirements
standards://mcp/server-design MCP server architecture
standards://mcp/tool-design Tool definition standards
standards://mcp/resource-design Resource exposure standards
standards://mcp/security MCP security patterns
standards://mcp/error-handling Error handling standards

Templates and Implementations

URI Description
templates://mcp/python Python MCP server template
templates://mcp/dotnet .NET MCP server template
implementations://mcp/standards This server's implementation
implementations://agents/python/langchain LangChain agent

MCP Tools

Validation Tools

  • validate_azure_resource_name - Validate Azure resource names against naming conventions
  • validate_mcp_tool_definition - Validate MCP tool definitions against standards
  • validate_agent_card - Validate A2A agent cards against protocol standards

Search Tools

  • search_standards - Full-text search across standards documents
  • list_standards_categories - List all available categories
  • get_standards_summary - Get document summaries for a category

Configuration

Variable Description Default
MCP_SERVER_NAME Server name standards-mcp-server
MCP_TRANSPORT Transport type (stdio or http) stdio
MCP_PORT HTTP port 8080
MCP_HOST HTTP host 0.0.0.0
MCP_LOG_LEVEL Log level INFO
STANDARDS_PATH Path to standards docs docs/standards
REFERENCE_IMPLEMENTATIONS_PATH Path to implementations reference-implementations
OTEL_ENABLED Enable OpenTelemetry true
OTEL_EXPORTER_OTLP_ENDPOINT OTLP endpoint null

Development

Running Tests

# Run all tests
make test

# With coverage
make test-cov

# Linting
make lint

# Type checking
make typecheck

Project Structure

darwin-standards-mcp/
├── .github/
│   ├── workflows/          # CI/CD pipelines
│   └── PULL_REQUEST_TEMPLATE.md
├── .k8s/
│   ├── base/              # Base Kubernetes manifests
│   └── overlays/          # Environment-specific overlays
│       ├── dev/
│       └── prod/
├── src/standards_mcp_server/
│   ├── __init__.py
│   ├── server.py          # Main MCP server
│   ├── config.py          # Configuration
│   ├── observability.py   # OpenTelemetry setup
│   ├── resources/         # MCP resources
│   └── tools/             # MCP tools
├── tests/
├── scripts/               # Deployment scripts
├── docs/                  # Documentation
├── Dockerfile
├── Makefile
└── pyproject.toml

Deployment

Deploy to AKS

# Using make
make deploy

# Using script
./scripts/deploy-to-aks.sh

Manual Deployment

# Get AKS credentials
az aks get-credentials --resource-group rg-fgsan-shared-dev-eus --name fgsan-shared-aks-dev-eus

# Apply manifests
kubectl apply -k .k8s/overlays/dev

# Verify
kubectl get pods -n darwin-mcp -l app=standards-mcp-server

See DEPLOYMENT.md for detailed deployment instructions.

CI/CD

The repository includes GitHub Actions workflows for:

  • lint-and-test.yml - Runs on PRs: linting, testing, type checking
  • build-and-push.yml - Runs on push to main: builds and pushes Docker image to ACR
  • deploy-to-aks.yml - Runs after build: deploys to AKS
  • release.yml - Runs on version tags: creates GitHub releases

License

MIT License - see LICENSE for details.

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