Add Knowledgebase MCP server — persistent memory for Claude conversations
PostgreSQL-backed knowledge store with hybrid search: - Full-text search via tsvector (always available) - Semantic reranking via Voyage AI embeddings + Python cosine similarity - Tables: kb_memories, kb_sessions, kb_messages - Tools: store_memory, store_conversation, search, get_context, get_recent, stats Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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- [Graph email import](project_graph_email_import.md) — import JNJ emailů do schránky vladimir.buzalka@buzalka.cz přes Graph API
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- [Memory sync přes Giteu](setup_memory_sync.md) — paměť je v `claude-memory/` v janssen repu, junction + git push synchronizuje mezi PC
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- [MCP soubory](project_mcp_soubory.md) — MCP server nad PG fulltextem + Mongo metadaty pro soubory studií (search/read/duplicates/by_author/...)
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- [Knowledgebase MCP](project_knowledgebase_mcp.md) — persistentní paměť konverzací/znalostí; PG+tsvector+cosine; nástroje: get_context/store_memory/store_conversation/search
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- [MCP emaily](project_mcp_emaily.md) — MCP server nad PG fulltextem + Mongo emailů z Graph importu (9 schránek, ~268k mailů; search/read_email/by_sender/conversation_thread/find_attachment/...)
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- [Python-runner pipeline](project_python_runner.md) — Docker kontejner na Unraidu, email pipeline 2×/den, auto-install deps, report z reports@buzalka.cz
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- [Claude Code learning path](project_claude_learning.md) — Level 2 Intermediate, mezery: Skills/Subagenty/Hooks/Print mode, tutoriál v `claude-howto/`
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