8 MCP Tools · 45+ Coding Agents · Any Platform

AI agent architecture
from strategy to production

Generate multi-agent blueprints with 5-year ROI projections in minutes. Export as Agent Skills for Claude Code, Codex, Cursor, and 45+ other coding agents. Deploy to ServiceNow, Salesforce, or any enterprise platform.

Discover · Blueprint · Launch

How It Works

From understanding your business to deploying AI agents in production

1DISCOVER

Capture business context in a structured profile.

Industry, org size, tech stack, current processes, strategic goals. This grounds all pipeline output in your operational reality. Takes minutes, not the weeks a consulting engagement requires.

ORG PROFILE
2DISCOVER

Surface 5-12 prioritized AI agent opportunities.

LLM pipeline scores each opportunity by impact, feasibility, and strategic alignment. No guesswork. You see exactly which workflows benefit most from multi-agent automation and why.

010203OPPORTUNITIES
3BLUEPRINT

Generate architecture with 5-year ROI projections.

Each use case gets a full blueprint: agent team (3-15 agents), orchestration pattern, integration points, tool definitions, and a deterministic business case with implementation costs and payback period.

DATAAGENTskills · tools · memoryOUTPUTPROJECTED ROITARGET↑ 340%
4LAUNCH

Export as Agent Skills. Deploy to any platform.

Download blueprints as Agent Skills directories (SKILL.md + 8 reference files). Your coding agent (Claude Code, Codex, Cursor) reads the skill and handles vendor-specific implementation. Monitor live performance against ROI targets.

AGENTSYS 01SYS 02SYS 03LIVEDEPLOYED
What We Deliver

Platform Capabilities

6-stage pipeline, 8 MCP tools, 45+ agent compatibility, vendor-agnostic export

01

6-Stage LLM Pipeline

Automated generation across 6 stages: Business Profile, AI Readiness (6 dimensions), Use Cases (5-12 per org), Technical Blueprint, Business Case (5-year ROI), and Implementation Plan. Minutes, not months.

02

8 MCP Tools for Coding Agents

MCP server with 8 tools: list_blueprints, get_blueprint, get_business_case, get_implementation_plan, get_use_case, get_implementation_spec, get_business_profile, download_blueprint. Install via npx agentblueprint.

03

Agent Team Visualization

Interactive visualizer maps 3-15 agent teams with triggers, tools, workflows, guardrails, and orchestration patterns (routing, pipeline, orchestrator-workers). Understand the architecture before you build it.

04

Agent Skills Export

Export blueprints as Agent Skills directories (SKILL.md + references/). Open standard consumed by Claude Code, Codex, Cursor, Copilot, Windsurf, and 45+ other coding agents. The agent handles implementation.

05

Vendor-Agnostic Output

Deploy to ServiceNow, Salesforce, or any enterprise platform. No lock-in. Blueprints define agent teams, integration points, and data flows independent of vendor. Your coding agent translates to platform-specific config.

06

Living Blueprints, Not Reports

Blueprints update as your business context changes. Performance monitoring tracks agents against ROI targets post-deployment. Coding agents write back operational data, keeping the blueprint current.

FAQ

Frequently Asked Questions

Agent Blueprint is an enterprise AI advisory platform with 8 MCP tools that generate multi-agent architectures for coding agents. It produces 6 pipeline artifacts (Business Profile, AI Readiness, Use Cases, Technical Blueprint, Business Case with 5-year ROI, Implementation Plan) and exports them as vendor-agnostic Agent Skills consumable by 45+ coding agents including Claude Code, Codex, Cursor, and Copilot.

Agent Blueprint runs a multi-stage LLM pipeline: (1) Capture business context via structured profile, (2) Assess AI readiness across 6 dimensions, (3) Generate prioritized use cases scored by impact and feasibility, (4) Produce technical blueprints defining agent teams, orchestration patterns, and integration points, (5) Calculate 5-year ROI with payback period, (6) Generate phased implementation plan. Output is machine-readable Agent Skills format, not PDFs.

Agent Blueprint serves two audiences: (1) Enterprise teams deploying 3+ AI agents across multiple workflows who need architecture planning before build, and (2) Coding agents (Claude Code, Codex, Cursor) that need structured blueprints to implement multi-agent systems. Use it when you have complex agent orchestration needs, not for single chatbot deployments.

Install via npm: npx agentblueprint. The MCP server provides 8 tools (list_blueprints, get_blueprint, get_business_case, get_implementation_plan, get_use_case, get_implementation_spec, get_business_profile, download_blueprint). Requires an API key from app.agentblueprint.ai/settings/api-tokens. Works with any MCP-compatible agent via stdio transport.

7 open-source Agent Skills available via npx skills add agent-blueprint/agent-blueprint-skills. Includes 4 foundation skills (agent-fundamentals, servicenow-ai-agents, agent-deployment, research-agent) and 3 blueprint patterns (IT Service Desk Triage with 5 agents, Procurement RFx Processing with 6 agents, Customer Onboarding with 5 agents). Apache 2.0 licensed. Compatible with 45+ coding agents.

Agent Blueprint automates what consultants do manually. Traditional AI consulting takes 6-12 weeks and costs $150K-500K for strategy alone. Agent Blueprint generates equivalent output (architecture, ROI, implementation plan) in minutes via LLM pipeline. Output is machine-readable and directly consumable by coding agents. Blueprints are living documents that update as your business context changes, not frozen deliverables.

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Want to see how AI agents could work in your business? Get in touch and we'll walk you through it.

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