FIG. A0OverviewAnnex A

Model Context Protocol · Agentic AI

Connect my profile to your AI agent.

My CV is published as an MCP (Model Context Protocol) server. Point ChatGPT, GitHub Copilot, Claude, Gemini or any MCP client at it to analyse my experience against a role, score fit, draft a cover letter, check certifications or book a meeting.

Protocol: MCP · JSON over HTTPS
Discovery: /.well-known/ai-plugin.json
API base: /api/agents
Access: Open, CORS-enabled

Try the console Connect a client

Server at a glance TBL-01
Tools	9
Resources	3
Prompts	3
Client set-ups	5
Booking	Outlook, via book_interview

FIG. A1

What an agent can do

9 tools

Every tool answers about me, not the person asking. Paste a job description into your assistant and it will call these for you.

get_profile
Full professional profile: experience, skills and certifications.
analyse_cv
Analyse Peter’s CV against a job description.
score_job_fit
Score Peter’s fit for a specific role.
generate_cover_letter
Draft a targeted cover letter for a role and company.
interview_prep
Interview preparation material for a role and company.
get_portfolio
Project portfolio grouped by capability area.
verify_certifications
List and verify professional certifications.
get_rate_card
Current rate card and availability.
book_interview
Direct link to book time with Peter in Outlook.

FIG. A2

Connect a client

5 set-ups

ChatGPT / OpenAI

Connect to Peter Bardenhagen's CV data via the MCP server. ChatGPT can analyse his solution architecture qualifications, cloud certifications, career history, and produce structured job-fit assessments using his full professional profile.

Configuration

{
  "actions": [{
    "url": "https://peter.bardenhagen.xyz/.well-known/ai-plugin.json"
  }]
}

System prompt

You have access to Peter Bardenhagen's professional MCP server at https://peter.bardenhagen.xyz/api/agents. Use it to retrieve his CV data, certifications, experience history, portfolio projects, and rate card. When asked about Peter's qualifications, use the server tools to provide structured, fact-based answers drawn from his actual career data.

Setup

Open ChatGPT and navigate to 'Explore GPTs' → 'Create a GPT'
Go to 'Configure' → 'Actions' and enable the MCP/Plugin toggle
Set the plugin URL to: https://peter.bardenhagen.xyz/.well-known/ai-plugin.json
Save and test by asking: 'Analyse Peter Bardenhagen's fit for a Solution Architect role'

GitHub Copilot

GitHub Copilot can discover Peter's CV MCP endpoint through the well-known pattern. Use it to check his enterprise architecture certifications, cloud credentials, and career timeline directly in your development workflow.

Configuration

{
  "mcpServers": {
    "peter-bardenhagen": {
      "url": "https://peter.bardenhagen.xyz/.well-known/ai-plugin.json"
    }
  }
}

System prompt

You can access Peter Bardenhagen's professional profile via MCP at https://peter.bardenhagen.xyz/api/agents. Use it to fetch CV data, analyse qualifications against role requirements, and answer questions about his career history.

Setup

Open VS Code / GitHub Copilot Chat
Configure MCP server in your Copilot settings
Add the server URL: https://peter.bardenhagen.xyz/.well-known/ai-plugin.json
Ask: 'Analyse Peter Bardenhagen against this job description' with the JD pasted

Claude (Anthropic)

Claude connects to MCP servers via the MCP protocol. Add Peter's CV server to access his full career data — solution architecture experience, cloud platform expertise, AI certifications, and education — directly through natural language queries.

Configuration

{
  "mcpServers": {
    "peter-bardenhagen": {
      "url": "https://peter.bardenhagen.xyz/.well-known/ai-plugin.json"
    }
  }
}

System prompt

You have access to the Peter Bardenhagen CV MCP server at https://peter.bardenhagen.xyz/api/agents. This provides tools to retrieve his professional profile, certifications, experience history, and portfolio data. When users ask about Peter's background, use these tools to provide accurate, structured responses from his actual career data.

Setup

Open Claude and go to Settings → MCP Servers
Click 'Add MCP Server' and paste the URL
URL: https://peter.bardenhagen.xyz/.well-known/ai-plugin.json
Claude will auto-discover all available tools and prompts
Try: 'Score Peter's fit for this architecture role and prepare interview questions'

Google Gemini / AI Studio

Google Gemini and AI Studio can connect via function calling. Configure a custom tool pointing to Peter Bardenhagen's CV MCP endpoint to access his professional qualifications, solution architecture experience, and technology certifications.

Configuration

{
  "actions": [{
    "url": "https://peter.bardenhagen.xyz/.well-known/ai-plugin.json",
    "type": "mcp"
  }]
}

System prompt

You have access to Peter Bardenhagen's professional CV MCP server at https://peter.bardenhagen.xyz/api/agents. Use the tool definitions to retrieve his profile data, analyse career fit, and answer questions about his qualifications with structured data from his actual career history.

Setup

Open Google AI Studio or Gemini Advanced
Create a custom tool or action pointing to the MCP endpoint
URL: https://peter.bardenhagen.xyz/.well-known/ai-plugin.json
Enable function calling to auto-use the defined tools
Test: 'Analyse Peter's CV for this job description'

Generic MCP Client

Any MCP-compatible client can connect to Peter Bardenhagen's CV data server. The discovery endpoint exposes all tool definitions — CV analysis, certification verification, experience lookup, and rate card retrieval — with CORS-enabled open access.

Configuration

Server URL: https://peter.bardenhagen.xyz/.well-known/ai-plugin.json
API Base: https://peter.bardenhagen.xyz/api/agents

Tools available: analyse_cv, generate_cover_letter,
score_job_fit, interview_prep, book_interview,
get_profile,
get_portfolio, verify_certifications, get_rate_card

System prompt

Connect to https://peter.bardenhagen.xyz/api/agents for MCP-compatible access to Peter Bardenhagen's professional profile and CV data.

Setup

Open your MCP-compatible client
Add a new server pointing to the discovery URL
URL: https://peter.bardenhagen.xyz/.well-known/ai-plugin.json
The client will auto-discover all tools and prompts

FIG. A3

Live console

MCP playground

Ask the agent about my profile, certifications or fit for a role.

MCP Playground

Live Agent Test Panel

Test Peter's MCP Agent

Ask anything about Peter's background, skills, certifications, or use the example questions below to see how the MCP server responds.

FIG. A4

Voice assistant

Audio

Record a question, or play the scripted demo to hear the assistant talk through my background.

AI CV Assistant

AI Voice CV Agent

FIG. A4 · INSTRUMENT

Peter’s AI CV Assistant

Queries this profile’s CV record by voice — qualifications, engagement history, certifications, or any entry in the document.

FIG. A5

Contact

Prefer a conversation to an agent?

Book via Outlook [email protected] Download CV (.docx)