"Customer service information for Tunaiku" matching MCP servers:

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

Enables an AI assistant to answer customer-success questions by synthesizing simulated billing, support ticket, and product usage data into composite churn-risk scores, bands, and plain-language explanations for fictional accounts. It exposes raw-data tools, a synthesis tool, and a methodology resource so users can list at-risk accounts or get a per-account health summary.

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.

Enables retrieval of customer records and triggering refunds via MCP tools, supporting both stdio and streamable HTTP transports.

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

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.

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.

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.

Enables AI clients to securely interact with Salesforce data using natural language, translating prompts into structured queries for analysis, reporting, and business insights.

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.

Enables AI assistants to securely access and interact with Odoo data through natural language, supporting full CRUD operations, OAuth 2.1 and API key authentication, and granular per-model permissions.

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.

Enables AI clients to securely access and query Zoho CRM data using natural-language prompts, returning structured results for analysis and reporting. It supports sales pipeline tracking, lead analysis, team performance reporting, and other CRM use cases through self-hosted deployment.

Enables AI agents to manage a fictional B2B workspace SaaS (Tessera) with tools for ticketing, invoicing, customer management, and trial extensions, featuring a human-in-the-loop confirm pattern for safety.