pfbarros2/ai-integration-architect-plugin
Platform-specific configuration:
{
"mcpServers": {
"ai-integration-architect-plugin": {
"command": "npx",
"args": [
"-y",
"ai-integration-architect-plugin"
]
}
}
}Add the config above to .claude/settings.json under the mcpServers key.
A Claude Code plugin that helps teams plan, design, and scaffold AI integration into enterprise systems.
46% of enterprises say integrating AI into existing systems is their #1 challenge. This plugin acts as a senior integration architect — it assesses your system landscape, recommends architecture patterns, generates production-ready code scaffolds, and produces deployment plans with security baked in.
claude plugin marketplace add pfbarros2/ai-integration-architect-plugin
claude plugin install ai-integration-architectclaude plugin marketplace add pfbarros2/ai-integration-architect
claude plugin install ai-integration-architectgit clone https://github.com/pfbarros2/ai-integration-architect-plugin.git
claude --plugin-dir ./ai-integration-architect-plugin| Phase | Output | |-------|--------| | Assess | Maps your current systems (APIs, databases, SaaS tools) and identifies where AI adds the most value | | Architect | Recommends integration patterns (MCP servers, API gateways, RAG pipelines, event-driven agents) with trade-off analysis | | Scaffold | Generates working starter code — MCP servers, API connectors, RAG pipelines, middleware — with auth, rate limiting, error handling, and tests | | Deploy | Produces deployment configs, monitoring setup, security checklists, cost estimates, and phased rollout plans |
Once installed, just describe your integration challenge:
> "We run Shopify Plus with Salesforce CRM and Zendesk for support. Our CEO wants AI to help reduce support response times. Where do I start?"
> "I need an MCP server that connects Claude to our internal REST API. It uses OAuth2, has /employees, /projects, and /timesheets endpoints."
> "We have
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