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Why this server?
This server provides tools to interact with Folderr's API, specifically for managing and communicating with Folderr Assistants, which can act as AI customer service agents.
Why this server?
This server enables LLMs to interact with VoIPBin's VoIP services, supporting features like call management and chat functionality, which are relevant for building AI customer service solutions.
Why this server?
This server facilitates the invocation of AI models from providers like Anthropic, OpenAI, and Groq, enabling users to manage and configure large language model interactions seamlessly, a fundamental component for an AI customer service.
Why this server?
A Model Context Protocol (MCP) server that provides real-time, interactive AI chat with Selector AI. This can be used to create a customer service experience.
Why this server?
This server provides integration with ERPNext/Frappe API. It enables AI assistants to interact with ERPNext data and functionality through the Model Context Protocol, useful for accessing customer information.
Why this server?
Provides integration with Atlassian products through the Model Context Protocol, allowing users to interact with JIRA tickets and Confluence pages; can be useful to connect to existing customer support workflows.
Why this server?
An MCP server implementation that integrates Claude with Salesforce, enabling natural language interactions with Salesforce data and metadata, for handling customer interactions and information.
Why this server?
Enables Claude to interact with HubSpot CRM for sales analysis and insights, providing tools for managing contacts, deals, companies, and retrieving sales analytics data; useful for customer relationship management in an AI context.
Why this server?
A versatile Model Context Protocol server that enables AI assistants to manage calendars, track tasks, handle emails, search the web, and control smart home devices; provides a foundation for a customer service agent.
Why this server?
Enables integration with ClickUp tasks, supporting resource management, task operations, workspace organization, and AI-powered task recommendations; relevant for workflow management within customer service contexts.