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njoerd114

kubecon-eu-mcp

by njoerd114

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
search_sessions

Search conference sessions by keyword, topic, speaker name, or technology.

Args: query: Search query (e.g., "eBPF", "security", "AI agents", "platform engineering"). day: Optional day filter: "monday", "tuesday", "wednesday", "thursday". track: Optional track filter (e.g., "Keynote", "Tutorial", "Breakout"). limit: Maximum number of results to return (default 20).

Returns: JSON array of matching sessions with title, speakers, time, room, and URL.

get_schedule

Get the full conference schedule for a specific day.

Args: day: Day name — "monday" (co-located), "tuesday", "wednesday", or "thursday".

Returns: JSON array of all sessions for that day, sorted by start time.

find_speaker

Find sessions by a specific speaker.

Args: name: Speaker name or partial name (e.g., "Lin Sun", "Bryce").

Returns: JSON array of sessions featuring the speaker.

find_parties

Find conference parties, happy hours, and social events.

Args: day: Optional day filter: "monday", "tuesday", "wednesday", "thursday". after: Optional time filter — only show events starting after this time (e.g., "6PM"). before: Optional time filter — only show events starting before this time (e.g., "10PM").

Returns: JSON array of parties with name, time, sponsor, location, and RSVP link.

plan_party_route

Plan an optimized party-hopping route for an evening.

Returns parties for the requested day sorted by time, with location details to help plan an efficient route through Amsterdam.

Args: day: Day name — "monday", "tuesday", "wednesday", or "thursday". preferences: Optional preferences like "networking", "food", "near venue", "open bar".

Returns: JSON with sorted party timeline and location context for route planning.

get_venue_info

Get venue details: address, rooms, maps, and transit information.

Returns: JSON with venue name, address, room list, map links, transit info, and parking.

get_hotel_info

Get conference hotel block information with rates and distances.

Returns: JSON array of hotels with name, address, rate, distance to venue, and availability.

get_travel_info

Get travel information: airport, transit, parking, and airline discounts.

Returns: JSON with airport details, public transport info, parking, and airline discount codes.

get_colocated_events

Get Monday's co-located events (ArgoCon, CiliumCon, Agentics Day, etc.).

Returns: JSON array of co-located events with name, duration, room, and requirements.

get_conference_overview

Get a high-level overview of the entire conference.

Returns: JSON with event name, dates, schedule at a glance, and useful links.

score_sessions

Get sessions ready for personalized scoring, with a scoring rubric.

Returns scorable sessions (logistics events filtered out) along with a structured scoring rubric. You (the AI agent) should apply the rubric to rank sessions for the attendee.

Scoring rubric is based on the kubecon-event-scorer project by Fredrik Carlsson.

Args: role: Attendee's job title (e.g., "Platform Engineer", "SRE", "Developer"). interests: Comma-separated interests (e.g., "eBPF, security, AI on Kubernetes"). day: Optional day filter: "monday", "tuesday", "wednesday", "thursday". experience_level: "beginner", "intermediate", "advanced", or "expert". priorities: Comma-separated goals (e.g., "evaluate service mesh tools, learn GitOps"). prefer_hands_on: Boost hands-on workshops and labs. prefer_deep_dives: Boost deep technical talks over intros. avoid_vendor_pitches: Penalize vendor-heavy marketing sessions. limit: Max sessions to return (default 30).

Returns: JSON with attendee profile, scoring rubric, and session list to score.

detect_conflicts

Detect scheduling conflicts among selected sessions.

Checks whether any of the provided sessions overlap in time, helping attendees resolve conflicts in their planned schedule.

Inspired by kubecon-event-scorer's conflict detection.

Args: session_uids: Comma-separated session UIDs to check for conflicts.

Returns: JSON with conflict pairs, overlap duration, and session details.

Prompts

Interactive templates invoked by user choice

NameDescription
plan_my_kubeconBuild a personalized KubeCon itinerary. Args: interests: Comma-separated topics (e.g., "security, platform engineering, eBPF"). role: Your role (e.g., "developer", "SRE", "platform engineer", "architect"). experience: Experience level — "beginner", "intermediate", or "advanced".
party_tonightPlan the perfect evening of conference parties. Args: day: Which evening — "monday", "tuesday", "wednesday", or "thursday". constraints: Optional constraints like "must be back by 11pm", "near venue", "with food".
first_timer_guideGet a first-timer's guide to KubeCon EU 2026.
whats_happening_nowFind out what's happening right now or next at the conference. Args: current_time: Current time in CET (e.g., "2:30 PM" or "14:30"). location: Optional — your current location at the venue.
create_profileCreate a personalized attendee profile for session scoring. Generates a profile in the kubecon-event-scorer format, then uses it to score and rank sessions. Args: background: Any background info (e.g., "I'm an SRE at Acme Corp, we run 50 clusters").

Resources

Contextual data attached and managed by the client

NameDescription
resource_overviewFull conference overview with dates, venue, and schedule at a glance.
resource_venueVenue details including rooms, maps, and transit.
resource_hotelsConference hotel block information.
resource_colocatedMonday's co-located events.

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