Agentic AI Integration
Connect my profile to your AI agent of choice.
Peter Bardenhagen's professional profile is available as an MCP (Model Context Protocol) server. Any AI agent — ChatGPT, Copilot, Claude, OpenClaw, Gemini, or Hermes — can analyse his CV, score job fit, generate cover letters, verify certifications, and book interviews directly.
- 8+
- MCP tools for CV analysis, job scoring, and booking
- 7
- AI agents supported with custom configurations
- 10
- Recruiter use cases automated through any agent
- 1
- Click to book — Outlook integration live now
Compatible agents
ChatGPT / OpenAI
Connect Peter Bardenhagen's professional MCP server to ChatGPT for seamless CV analysis, job-fit scoring, and interview booking through custom GPT actions.
MCP Configuration
{
"actions": [{
"url": "https://peter.bardenhagen.xyz/.well-known/ai-plugin.json"
}]
}System Prompt
You are helping a recruiter or hiring manager evaluate Peter Bardenhagen. Use the MCP server at https://peter.bardenhagen.xyz/api/agents to analyse his CV against job descriptions, generate cover letters, and book interviews.
Setup Instructions
- 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'
Recruiter Use Cases
- Analyse my CV against this job description
- Generate a targeted cover letter
- Prepare me for this interview
- Score my fit for this role
- Book an interview time
- Get a portfolio summary
- Check my references and certifications
- View my project portfolio by capability
- Find my rate card and availability
- View architecture certifications and credentials
Job-Fit Analysis Features
GitHub Copilot
GitHub Copilot can discover MCP endpoints through the well-known pattern. Use it to analyse Peter's profile, check job fit, or generate recruitment outreach content.
MCP Configuration
{
"mcpServers": {
"peter-bardenhagen": {
"url": "https://peter.bardenhagen.xyz/.well-known/ai-plugin.json"
}
}
}System Prompt
You can access Peter Bardenhagen's MCP server at https://peter.bardenhagen.xyz/api/agents. Use it to fetch profile data, analyse CV fit, and generate recruitment content.
Setup Instructions
- 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
Recruiter Use Cases
- Analyse my CV against this job description
- Generate a targeted cover letter
- Prepare me for this interview
- Score my fit for this role
- Book an interview time
- Get a portfolio summary
- Check my references and certifications
- View my project portfolio by capability
- Find my rate card and availability
- View architecture certifications and credentials
Job-Fit Analysis Features
Claude (Anthropic)
Claude connects to MCP servers via the MCP protocol. You can add Peter's profile server and use natural language to analyse fit, verify certifications, and schedule interviews.
MCP Configuration
{
"mcpServers": {
"peter-bardenhagen": {
"url": "https://peter.bardenhagen.xyz/.well-known/ai-plugin.json"
}
}
}System Prompt
You have access to the Peter Bardenhagen MCP server at https://peter.bardenhagen.xyz/api/agents. This provides tools to analyse CV fit, generate cover letters, prepare interview questions, verify certifications, and book time. When a recruiter asks about Peter, use these tools to provide structured, data-driven insights.
Setup Instructions
- 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'
Recruiter Use Cases
- Analyse my CV against this job description
- Generate a targeted cover letter
- Prepare me for this interview
- Score my fit for this role
- Book an interview time
- Get a portfolio summary
- Check my references and certifications
- View my project portfolio by capability
- Find my rate card and availability
- View architecture certifications and credentials
Job-Fit Analysis Features
OpenClaw
OpenClaw agents can discover and use this MCP server through its agent framework. Perfect for multi-agent recruitment workflows and automated candidate evaluation.
MCP Configuration
{
"mcpServers": {
"peter-bardenhagen": {
"url": "https://peter.bardenhagen.xyz/.well-known/ai-plugin.json"
}
}
}System Prompt
You can access the Peter Bardenhagen MCP server at https://peter.bardenhagen.xyz/api/agents. Use its tools to provide professional profile analysis, job-fit scoring, and booking integration.
Setup Instructions
- Open OpenClaw and navigate to MCP Server configuration
- Add new MCP server with discovery URL
- URL: https://peter.bardenhagen.xyz/.well-known/ai-plugin.json
- OpenClaw will discover profile analysis and booking tools
- Ask: 'Analyse Peter Bardenhagen's credentials for a CTO role'
Recruiter Use Cases
- Analyse my CV against this job description
- Generate a targeted cover letter
- Prepare me for this interview
- Score my fit for this role
- Book an interview time
- Get a portfolio summary
- Check my references and certifications
- View my project portfolio by capability
- Find my rate card and availability
- View architecture certifications and credentials
Job-Fit Analysis Features
Google Gemini / AI Studio
Google Gemini and AI Studio can connect via function calling. Configure a custom tool pointing to the MCP endpoint for seamless recruitment workflow integration.
MCP Configuration
{
"actions": [{
"url": "https://peter.bardenhagen.xyz/.well-known/ai-plugin.json",
"type": "mcp"
}]
}System Prompt
You have access to Peter Bardenhagen's professional MCP server. Use the tool definitions at https://peter.bardenhagen.xyz/api/agents to analyse his professional fit, generate outreach content, and help recruiters make informed decisions.
Setup Instructions
- 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'
Recruiter Use Cases
- Analyse my CV against this job description
- Generate a targeted cover letter
- Prepare me for this interview
- Score my fit for this role
- Book an interview time
- Get a portfolio summary
- Check my references and certifications
- View my project portfolio by capability
- Find my rate card and availability
- View architecture certifications and credentials
Job-Fit Analysis Features
Hermes (Nous Research)
Hermes natively supports MCP server discovery and tool use. Connect directly for full access to Peter's profile, CV analysis, job-fit scoring, and booking integration.
MCP Configuration
{
"mcpServers": {
"peter-bardenhagen": {
"url": "https://peter.bardenhagen.xyz/.well-known/ai-plugin.json"
}
}
}System Prompt
You have access to the Peter Bardenhagen MCP server. Use its tools for CV analysis, job-fit scoring, cover letter generation, interview preparation, certification verification, rate card access, and booking integration. Provide clear, structured responses to recruitment-related queries.
Setup Instructions
- Open Hermes and navigate to agent configuration
- Add the MCP server: https://peter.bardenhagen.xyz/.well-known/ai-plugin.json
- Hermes will auto-discover all 8+ available tools
- Ask: 'Analyse Peter Bardenhagen for this role and book an interview'
Recruiter Use Cases
- Analyse my CV against this job description
- Generate a targeted cover letter
- Prepare me for this interview
- Score my fit for this role
- Book an interview time
- Get a portfolio summary
- Check my references and certifications
- View my project portfolio by capability
- Find my rate card and availability
- View architecture certifications and credentials
Job-Fit Analysis Features
Generic MCP Client
Any MCP-compatible client can connect to this server. The discovery endpoint provides full tool definitions, and the API is CORS-enabled with open access.
MCP 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_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.
Setup Instructions
- 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
Recruiter Use Cases
- Analyse my CV against this job description
- Generate a targeted cover letter
- Prepare me for this interview
- Score my fit for this role
- Book an interview time
- Get a portfolio summary
- Check my references and certifications
- View my project portfolio by capability
- Find my rate card and availability
- View architecture certifications and credentials
Job-Fit Analysis Features
MCP Playground
Connect any MCP-compatible agent using these endpoints
/https://peter.bardenhagen.xyz/.well-known/ai-plugin.jsonAuto-discover all tools and capabilitieshttps://peter.bardenhagen.xyz/api/agentsMain MCP server endpointhttps://peter.bardenhagen.xyz/api/agents?action=profileFull JSON profile for agent consumptionhttps://peter.bardenhagen.xyz/api/agents?action=toolsComplete tool definitionsMCP URL
Point your phone's AI agent to the MCP discovery endpoint