MCP server Claude CodeCodexCursor +2
MCP server "datacommons-mcp", hosted remotely at api.datacommons.org, as configured in tractorjuice/arckit-codex.
MCP server Claude CodeCodexCursor +2
MCP server "datacommons-mcp", hosted remotely at api.datacommons.org, as configured in tractorjuice/arckit-codex.
MCP server Claude CodeCodexCursor +2
MCP server "govreposcrape", hosted remotely at govreposcrape-api-1060386346356.us-central1.run.app, as configured in tractorjuice/arckit-codex.
MCP server Claude CodeCodexCursor +2
MCP server "uk-tenders", hosted remotely at tenders.run.cns.me, as configured in tractorjuice/arckit-codex.
Agent
Use this agent when the user needs AWS-specific technology research using the AWS Knowledge MCP server to match project requirements to AWS services, architecture patterns, Well-Architected guidance, and Security Hub controls. Examples: Context: User has a project with requirements and wants AWS service…
Agent
Use this agent when the user needs Azure-specific technology research using the Microsoft Learn MCP server to match project requirements to Azure services, architecture patterns, Well-Architected guidance, and Security Benchmark controls. Examples: Context: User has a project with requirements and wants Azure service…
Agent
Use this agent when the user needs to discover external data sources — APIs, datasets, open data portals, and commercial data providers — to fulfil project requirements. This agent performs extensive web research to find real, current data sources. Examples: Context: User has a project with requirements and wants to…
Agent
Use this agent when the user wants to transform existing project artifacts into a structured framework with phased organization, an overview document, and an executive guide. This agent reads all project artifacts and synthesises them into a coherent framework structure. Examples: Context: User has multiple artifacts…
Agent
Use this agent when the user needs Google Cloud-specific technology research using the Google Developer Knowledge MCP server to match project requirements to Google Cloud services, architecture patterns, Architecture Framework guidance, and Security Command Center controls. Examples: Context: User has a project with…
Agent
Use this agent when the user wants to search UK government repositories using natural language queries. This agent provides general-purpose semantic search across 24,500+ government repos via govreposcrape. Examples: Context: User wants to find how government teams implemented something user: "/arckit:gov-code-search…
Agent
Use this agent when the user wants to understand what UK government has built in a domain — mapping organisations, technology patterns, standards, and maturity levels. Examples: Context: User wants to understand the government landscape for a domain user: "/arckit:gov-landscape Map the government landscape for health…
Agent
Use this agent when the user wants to discover reusable UK government open-source code before building from scratch. This agent searches 24,500+ government repositories via govreposcrape and assesses candidates for reusability. Examples: Context: User has a project and wants to check for existing government code user…
Agent
Use this agent when the user needs to research UK funding opportunities for a project, including government grants (UKRI, Innovate UK, NIHR, DSIT), charitable foundations (Wellcome, Nesta), social impact funding, and accelerator programmes. This agent performs extensive web research autonomously. Examples: Context…
Agent
Use this agent when the user needs technology and service market research for a project, including build vs buy analysis, vendor evaluation, TCO comparison, and UK Government Digital Marketplace search. This agent performs extensive web research autonomously. Examples: Context: User has a project with requirements and…
Command
Set ADM scope, architecture vision, drivers, constraints, and success criteria.
Command
Document architectural decisions with options analysis and traceability.
Command
Design AI agent architecture — patterns, tool contracts, memory, orchestration, guardrails.
Command
Design AI agent governance — oversight models, approval workflows, audit requirements, compliance mapping.
Command
Design multi-agent integration — inter-agent contracts, message protocols, shared state, failure isolation.
Command
Catalog existing AI agents with capabilities, security classification, and oversight level.
Command
Assess AI agent program maturity across design, governance, security, integration, and operations.
Command
Design AI agent security — sandboxing, permissions, injection defences, output validation.
Command
Assess UK Government AI Playbook compliance for responsible AI deployment.
Command
Perform comprehensive governance quality analysis across architecture artifacts (requirements, principles, designs, assessments).
Command
Catalog existing applications with strategic fit scoring, dependencies, and lifecycle status.