AI Assistant & MCP¶
The Blueprint offers two ways to use AI when working with the documentation: a built-in chatbot on the website and an MCP server for direct integration with AI assistants like Claude.
Search bar vs. chatbot
The search bar (top right) searches by keyword and returns a list of pages. The chatbot (bottom right) understands your question and formulates an answer — including sources. Use the search bar when you know what you're looking for; use the chatbot when you have a question.
Blueprint Assistant (chatbot)¶
The chatbot is available in the bottom-right corner of every page. Click the speech bubble icon to open it.
What can you ask?¶
The assistant searches the full Blueprint documentation and answers questions about:
- Phases, activities and deliverables
- Templates and checklists
- Governance, roles and decision-making
- EU AI Act and compliance requirements
- Methods, patterns and anti-patterns
Example questions:
- "What are the required deliverables at Gate 2?"
- "How do I classify the risk level of my AI system?"
- "Which steps belong to the Fast Lane?"
- "What does the EU AI Act require for high-risk systems?"
Language¶
The assistant automatically detects whether you write in Dutch or English and responds in the same language.
Limitations¶
Focused on the Blueprint
The chatbot only answers questions about the Blueprint documentation. General AI questions or project-specific details from your own context are outside its knowledge base.
- Maximum 30 questions per minute per user
- Answers are always based on the published documentation
MCP Server (for Claude and AI editors)¶
The Blueprint provides an MCP server (Model Context Protocol) that gives AI assistants like Claude direct access to the documentation as a knowledge source.
Endpoint: https://ai-delivery.io/mcp
Transport: streamable-http
Use in Claude Desktop¶
Add the following to your Claude Desktop configuration (claude_desktop_config.json):
{
"mcpServers": {
"blueprint": {
"type": "http",
"url": "https://ai-delivery.io/mcp"
}
}
}
File location per platform:
| Platform | Path |
|---|---|
| macOS | ~/Library/Application Support/Claude/claude_desktop_config.json |
| Windows | %APPDATA%\Claude\claude_desktop_config.json |
| Linux | ~/.config/Claude/claude_desktop_config.json |
Use in Cursor or other MCP clients¶
Add the server as an HTTP MCP server with URL https://ai-delivery.io/mcp.
Use in Claude Code (CLI)¶
claude mcp add blueprint --transport http https://ai-delivery.io/mcp
Verify the connection:
claude mcp list
Agent workflows¶
The MCP server offers guided multi-step workflows in addition to standalone lookup tools. The AI assistant orchestrates the steps and asks you for input between them.
| Workflow | How to trigger | What you get |
|---|---|---|
| Project Setup | "Help me set up a new AI project" | Type A/B classification → risk pre-scan → pre-filled Project Charter |
| Gate Review | "Help me prepare for Gate 2" | Evidence gap check → Guardian-ready Go/No-Go summary |
| Template Advisor | "Which templates do I need as PM in phase 3?" | Recommended templates with context pre-filled |
| Compliance | "Is my system compliant with the EU AI Act?" | Risk category classification → article-referenced checklist |
Standalone tools¶
The server also exposes individual tools for direct lookups:
- Search documentation for relevant sections
- Retrieve templates and checklists by name
- Look up terminology, phase guidance, and risk frameworks
Full tool reference → — all 31 tools with parameters and examples.
Example prompts for Claude:
"Use the Blueprint MCP server and help me set up my fraud detection project."
"Find the Gate 3 checklist for my project using the Blueprint."
"Check if my AI hiring system is EU AI Act compliant."
Technical details¶
| Component | Details |
|---|---|
| Chatbot API | https://ai-delivery.io/api/ |
| MCP server | https://ai-delivery.io/mcp |
| Embeddings | all-MiniLM-L6-v2 (local, ONNX) |
| Generation | Ollama Cloud (gemma3:12b-cloud) |
| Vector database | ChromaDB |
| Index | 924 NL chunks + 920 EN chunks |