"Semantic Scholar" 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.

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.

An MCP server that provides AI agents with database tools for querying customer profiles and financial audit data, featuring semantic caching and automatic cache invalidation via webhooks to optimize performance and token usage.

Exposes Odoo 19 ERP as MCP tools, enabling AI agents to query and act on CRM data (leads, semantic search) via natural language without custom integration.