"Creating custom experimental images in Docker" matching MCP servers:

Enables full CRUD operations on HubSpot custom objects, complementing the official server that only handles standard objects.

Enables interaction with Salesforce data and services via custom MCP tools, including account analytics, opportunity queries, case creation, and AI agent invocation.

Enables AI agents to manage GoHighLevel sub-account CRM data, including contacts, custom fields, tags, workflows, and calendar configurations through natural language.

Enables governed course, batch, fee, lead, and callback management for two AI chat apps with centralized authentication, RBAC, audit logging, and a prepare→confirm write gate.

Enables reading operations, searching clients, and creating leads in SingleOps, the US green-industry field-service platform, through natural language commands.

Connects AI assistants to ServiceTitan with a default catalog of 264 read-only tools for CRM, dispatch, accounting, reporting, and analytics. Supports focused discovery profiles; write operations are experimental and require explicit opt-in.

A remote MCP server that connects Claude to a Twenty CRM workspace, enabling users to interact with CRM objects (People, Companies, Opportunities, and custom objects) through schema-driven tools for querying, creating, updating, and deleting records.

Enables querying and creating clients, service orders, collaborators, service requests, equipment, and other resources from the Field Control API directly in conversations with Claude.

Enables AI agents to interact with Tabella's CRM data through tools for listing objects, querying records, and creating/updating records, with changes visible in the UI in real time.

Wraps the Zoho CRM API v6 to enable listing, retrieving, searching, and creating records in Zoho CRM modules.

Enables AI agents to read and write leads, contacts, companies, tasks, notes, pipelines, tags, custom fields, users, events, conversations, and catalogs in the conversation-first sales CRM through its official v4 API, including a raw API call tool for any endpoint.

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.

MCP server that lets AI validate and create sales funnels (pipelines, stages, custom fields) in Kommo CRM, supporting multiple client accounts with explicit confirmation before writing.

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 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 Salesforce lead and permission set management through natural language. Supports creating leads, creating permission sets, and assigning permission sets to users via the Model Context Protocol.

Enables reading and creating invoices, and looking up customers and items in QuickBooks Online via natural language.

Enables AI assistants to read and write HubSpot CRM data, including creating contacts and companies with duplicate prevention, retrieving active records, company activity, and recent conversations. Built-in vector storage and caching add semantic search across previously retrieved data while working around HubSpot API limitations.

Enables AI assistants to interact with HubSpot CRM data through tools for creating and retrieving contacts, companies, activities, and conversations, plus semantic search over previously retrieved data. Built-in vector storage and caching help overcome API limitations and improve response times.