"semantic-release" matching MCP servers:

Enables LLMs to search and retrieve Autotask tickets, companies, and contacts using advanced semantic search and AI-powered reranking.

Enables AI assistants to interact with HubSpot CRM data, providing tools for managing contacts and companies, retrieving activity and conversations, and performing semantic search with vector storage and caching for improved performance.

Enables AI agents to operate a personal CRM by reading relationship context and writing back. Provides 80 tools for daily briefings, semantic search, person digests, suggested actions, interaction logging, and full CRUD across contacts, notes, tasks, reminders, calls, gifts, journal entries, addresses, relationships, places, debts, documents, and life events.

Enables semantic search of Salesforce case summaries using embeddings, accessible via MCP tools and REST API.

Enables AI assistants to directly access and manage HubSpot CRM data, including contacts, companies, and conversations, with semantic search and caching for improved performance.

Enables AI assistants to interact with HubSpot CRM data by creating contacts and companies, retrieving activity and recent conversations, and performing semantic search across previously retrieved records with built-in caching and vector storage.

Enables AI assistants to access and manage HubSpot CRM data, including contacts, companies, activity, conversations, and semantic search over cached interactions while improving response times via built-in vector storage and caching.

Enables AI assistants to interact with HubSpot CRM data, including contacts, companies, and engagement information, with semantic search over previously retrieved data and built-in caching/vector storage to improve response times.

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 activity and conversations, and performing semantic search over stored interactions while using vector storage and caching for faster responses.

Enables AI assistants to interact with HubSpot CRM data, including creating contacts and companies, retrieving active records and recent conversations, and performing semantic search over previously retrieved HubSpot data through built-in 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 create and retrieve contacts, companies, activity, and conversation threads directly in a CRM account through natural-language prompts. Includes built-in vector storage and caching for semantic search over previously retrieved data, improving response times despite API limitations.

A demo MCP server with two governed systems (pipeline semantic layer and predictive model) for querying and scoring professional services opportunities with cross-system governance.

Enables AI assistants to interact with HubSpot CRM data for creating contacts and companies, retrieving company activity, active contacts and companies, recent conversations, and performing semantic search across previously retrieved data with built-in vector storage and caching.

Enables AI assistants to interact with HubSpot CRM data by creating and retrieving contacts, companies, activity, and conversations, while supporting semantic search over previously retrieved data. Built-in vector storage and caching help improve performance and work around API limitations.

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 for contacts, companies, activity, conversations, and semantic search, with built-in 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.