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peakmojo/mcp-hubspot

⭐ 128 Python added to this list on 2025-05-14 repository created 2024-12-27

HubSpot MCP Server connects an MCP client to a HubSpot account so a model can read and write CRM records directly. The tools concentrate on the operations that dominate day-to-day CRM use: retrieving and creating contacts and companies, and reading engagement data such as recent activity on a pipeline. Two implementation choices address HubSpot API constraints. A local cache reduces repeated calls for data that has not changed, which both speeds up responses and keeps usage inside rate limits. A FAISS vector store indexes previously retrieved records and interactions, so semantic search over past context is answered locally instead of by paging through the API — useful when a multi-step workflow needs to recall something fetched earlier in the same session. The server is written in Python and distributed as a Docker image on Docker Hub, with the HubSpot access token supplied as configuration; the README emphasises that setup is a single container run. Documented example prompts show the intended shape of use: pasting a LinkedIn profile and asking for matching contact and company records to be created, or asking for a summary of recent pipeline movement. It is MIT licensed. The audience is sales and revenue teams whose data lives in HubSpot and who want an assistant able to query and update it conversationally.

https://github.com/peakmojo/mcp-hubspot

mcphubspotcrmpythonfaissvector-searchcachingdocker