MCP Dev Summit Companion

An MCP server for MCP Dev Summit North America 2026. Ask your AI assistant natural language questions about the full conference program — 145 sessions, 144 speakers, 52 sponsors — and manage a personal schedule, session notes, and connections.

"What talks on Thursday cover agent orchestration?"
"Tell me about the keynote speakers from Anthropic."
"What's happening right now?"
"Build me a schedule that doesn't conflict."

Install

Via mpak (recommended):

mpak bundle pull @nimblebraininc/mcp-dev-summit

Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "mcp-dev-summit": {
      "command": "python",
      "args": ["-m", "mcp_dev_summit.server"]
    }
  }
}

Manual (Python 3.13+, requires uv):

git clone https://github.com/NimbleBrainInc/mcp-dev-summit
cd mcp-dev-summit
uv sync
python -m mcp_dev_summit.server

Tools

Conference data

Tool	Description
`find_sessions`	Search sessions by topic, speaker, track, day, or time range
`get_day_schedule`	Full schedule for a day, grouped by time slot
`whats_on`	What's happening now or up next (Eastern Time)
`find_speaker_profiles`	Speaker search with bio, topics, and session list
`browse_sponsors`	Sponsor directory by tier with booth activities

Personal schedule (local)

Tool	Description
`create_bookmark` / `list_bookmarks` / `delete_bookmark`	Save sessions to your schedule
`create_note` / `list_notes` / `update_note`	Capture session takeaways
`create_connection` / `list_connections`	Track people you meet
`my_schedule`	Your personal timeline with conflict detection
`check_conflicts`	Find overlapping bookmarked sessions
`daily_briefing`	Morning summary: today's sessions, action items, follow-ups
`post_conference_report`	Post-event summary with key takeaways

Data model

6 entities with JSON schemas in schemas/:

Entity	Kind	Description
`session`	Reference	All sessions, keynotes, and workshops
`speaker`	Reference	Speaker profiles with bios and photos
`sponsor`	Reference	Sponsors by tier
`bookmark`	Personal	Your saved sessions
`note`	Personal	Session notes
`connection`	Personal	People you met

Reference data seeds automatically on first run from seed/. Personal data is stored locally in workspace/ and never leaves your machine.

Development

Requires Python 3.13+ and uv.

uv sync --group dev
make run          # stdio mode
make run-http     # HTTP mode (port 8000)
make test         # run tests
make check        # format + lint + typecheck + test

License

MIT

Synapse MCP Dev Summit

README