"CRM" matching MCP servers:

Extends AI agents with tools to manage agents, query datastores, and handle CRM scenarios via the Chatvolt API.

Enables AI assistants to interact with HubSpot CRM data by creating and retrieving contacts, companies, and recent activity, while providing semantic search over stored conversations with vector storage and caching.

Enables AI assistants to interact with HubSpot CRM data, including creating contacts and companies, retrieving recent activities and conversations, and performing semantic search over previously retrieved data. It uses built-in vector storage and caching to work around API limitations and improve response times.

Enables AI assistants to interact with HubSpot CRM data through tools for contacts, companies, activity, conversations, and semantic search, with vector storage and caching to improve response times.

Enables AI assistants to interact with HubSpot CRM data, including contacts, companies, engagement, conversations, and semantic search over previously retrieved data, with vector storage and caching to overcome API limitations and improve response times.

Enables AI assistants to interact with HubSpot CRM data, including contacts, companies, and engagement data. It provides built-in vector storage and caching to support semantic search and faster responses.

Enables AI assistants to interact with HubSpot CRM data, including creating and searching contacts and companies, retrieving activity and conversations, and using vector storage for semantic search across prior interactions.

Enables AI assistants to interact with HubSpot CRM data, including contacts, companies, engagement activity, and conversation threads, with built-in vector storage and caching for semantic search and improved response times.

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.

Enables AI assistants to interact with HubSpot CRM data, including contacts, companies, and engagement information, while using vector storage and caching to overcome API limits and improve response times.

Enables AI assistants to interact with CRM contacts, companies, activity, and conversations, and to perform semantic search across previously retrieved data.

Enables AI assistants to interact with HubSpot CRM data for creating and retrieving contacts, companies, activity, and conversations, with built-in vector storage and caching for faster semantic search.

Enables AI assistants to interact with HubSpot CRM data, including creating contacts and companies, retrieving recent activities and conversations, and semantically searching previously retrieved data with built-in caching and vector storage.