janssen/claude-memory/project_mcp_emaily.md

name, description, metadata

name	description	metadata
project-mcp-emaily	MCP server "emaily" - fulltext nad 9 schrankami z Microsoft Graph importu (~268k emailu)	node_type type originSessionId memory project 49aa480f-6667-4832-b091-08f333c27872

MCP server emaily v mcp_emaily.py, registrovan v U:\janssen\.mcp.json jako emaily.

Architektura paralelni s project_mcp_soubory:

• Mongo emaily.<mailbox> (z parse_emails_graph_v1.4.py) = body_html / body_text + headers + recipients + attachments[]
• PG MongoEmaily.emails (z enrich_fulltext_emails_v1.1.py) = plain text + tsvector index

Pipeline opraveny 2026-06-03: v1.3 parseru ukladal plain-text emaily JEN jako prvnich 2000 znaku do body_preview a zbytek zahazoval (17 672 emailu, 6.2% korpusu). v1.4 uklada plne plain-text telo do noveho pole body_text. Pro stare zaznamy: refetch_text_bodies_v1.0.py - prochazi Mongo, refetchne z Graph API jen tam kde body_html i body_text chybi (cca 80 min pro 17.7k emailu). Enrich v1.1 ma fallback poradi html -> body_text -> body_preview.

9 schranek, ~268k emailu celkem: vladimir.buzalka@buzalka.cz, vbuzalka@buzalka.cz, ordinace@buzalkova.cz, alica.buzalkova@buzalka.cz, mbuzalkova@buzalka.cz, jan.luxemburk@luxemburk.cz, vbuzalka@its.jnj.com, jarmila.kusinova@buzalka.cz, michaela.buzalkova@buzalka.cz

Index tsv pokryva: subject + sender_email + sender_name + to_addrs + cc_addrs + attachments_summary + body. Takze search najde i emaily kde slovo je jen v predmetu nebo jmene odesilatele.

MCP tools:

• ping, list_mailboxes - prehled korpusu
• search(query, mailbox?, since?, until?, folder_contains?, sender_contains?, has_attachments?, limit) - HLAVNI fulltext (websearch_to_tsquery), <<...>> snippet
• read_email(message_id, mailbox?, offset/length/around_match, include_html?) - cely email, slice nebo okno
• by_sender(sender, mailbox?, since?, has_attachments?) - regex na sender_email/name
• recent_emails(mailbox?, days, folder_contains?, has_attachments?) - by received_at
• conversation_thread(conversation_id) - cele Outlook vlakno chronologicky
• find_attachment(name_contains, mailbox?, since?) - hledani podle nazvu prilohy
• top_senders(mailbox?, since?) - kdo me nejvic email

Why: Mongo uz mela emaily (body_html), uzivatel se ptal jestli se musi znovu stahovat - nemusi. Stacilo z HTML udelat plain text pres BeautifulSoup a zaindexovat v PG.

How to apply:

• Pred prvnim plnym importem 268k emailu spustit: python U:\janssen\EmailsImport\enrich_fulltext_emails_v1.0.py (~80 min). Pro test --limit 500 --mailbox X.
• Sdileny TS config soubory (simple + unaccent) takze diakritika a case insensitive.
• Pri reset/zmene parseru: bump EXTRACTOR_VERSION -> preparsuje vse.
• Pri dotazu na "co poslal/posilam X" pouzivat by_sender namisto search - rychlejsi a vyhne se false matchum v tele.