"Customer Service Solutions for Doctors" matching MCP servers:

Validates customer information completeness by checking caller-provided data against required fields, returning present and missing fields.

Enables querying customers by name with a React UI for pagination, details, external company search, and safe customer creation after explicit confirmation.

Enables AI agents to read and create customers, jobs, estimates, invoices, calendar tasks, equipment, technicians, and reference data through the documented Service Fusion REST API, handling OAuth 2.0 and pagination automatically.

Simulates a multi-tenant customer support backend with tools for profile, order, ticket, and refund management, demonstrating security controls like tenant isolation, role-based access, and input validation.

Enables AI-powered customer support with real-time access to CRM, ticketing, and communication tools via MCP, supporting context-aware conversations and automated actions.

Provides interactive tools to explore AFAS customer data and employee leave information, including bubble charts, leave balance reports, and detailed leave cards.

A safe Python MCP server modeled on a Java reference, providing tools to create and search customers, create pending orders, list customer orders, and run health checks.

Provides deterministic mock customer health, product usage, and recommended playbook data via three MCP tools for a Customer Success Orchestrator demo.

Unified MCP server providing business data APIs for Indian users, orders, and business metrics, deployable via Vercel.

Integrates with Service Desk Plus Cloud API to enable AI assistants perform CRUD operations on service desk entities, including request management, technician management, and email communication.

Connects AI agents to Yuki accounting via SOAP API, enabling management of administrations, relations, invoices, transactions, and documents through natural language.

Official Cursor plugin enabling natural-language management of your SideShift company—discovering creators, managing campaigns and contracts, communicating with your network, and inspecting analytics through a secure OAuth-linked MCP server.

An MCP server that exposes Filevine matter management and Lead Docket intake APIs as natural-language-callable tools, enabling legal teams to query, update, and create projects and leads directly from Claude.

Finds, filters, and verifies local-business leads on demand; every returned email carries a verification receipt (verifier, verdict, timestamp). Credit-based with per-key spend budgets; 25 free validated leads at signup.

Live LinkedIn data for AI agents: 44 tools for profiles, companies, jobs, posts, people search, job-change signals and email finding. Hosted remote server (streamable HTTP) - your agent never touches your own LinkedIn account. 300 free credits on signup, no card. Dockerfile in repo bridges stdio clients to the hosted endpoint via mcp-remote.

Freento MCP is a native Magento 2 extension that implements the Model Context Protocol (MCP) — an open standard for connecting AI assistants to external data sources. This server acts as a secure, direct bridge between your Adobe Commerce / Magento 2 store and LLM-powered assistants (like Claude, ChatGPT, and others), allowing you to manage and audit your store using natural language.

Build custom CRMs and Customer Hubs as code you own. Eleven skills take a business goal to checked-in source: modules that generate their own migration, service, REST resource and Admin screens; deterministic workflows; versioned policies; audit and trace. The approval boundary is a merged test, not a prompt instruction.

Enables AI agents to query customer churn risk, MRR at risk, and customer health profiles from Retain, and take actions like adding notes and marking alerts contacted.

Enables AI-assisted field service management through the Service Fusion API, including job lookup, customer management, dispatch, invoicing, and equipment tracking.

Enables searching and retrieving customer bookings and payment details from Bookeo using natural language.