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Hybrid semantic search (dense vector + BM25) over local knowledge bases and codebases, exposed as MCP tools for AI agents to search and list knowledge bases.

Enables AI assistants to interact with HubSpot CRM data, creating contacts and companies with duplicate prevention, retrieving company activity, active contacts and companies, and recent conversation threads. Built-in FAISS vector storage, thread-level indexing, and embedding caching provide semantic search over previously retrieved data to overcome HubSpot API limits and improve response times.

Enables AI assistants to interact directly with HubSpot CRM data, creating contacts and companies, retrieving company activity, active contacts/companies, and recent conversation threads, and running semantic searches over previously retrieved data. Built-in vector storage and caching overcome HubSpot API limitations while improving response times.