"Executing code in a sandbox environment" matching MCP servers:

A versatile MCP server providing tools for arithmetic operations, n8n webhook integration, and access to a customer support playbook resource. It also includes specialized prompt templates for converting webinar transcripts into engaging blog posts.

Provides a versatile MCP server with calculator tools, webhook integration for n8n workflows, a customer support playbook resource, and a webinar-to-blog prompt template.

Laya-MLX as an MCP server (and plain-HTTP API). It answers typed decisions — choose an option / score a rubric / is this true? — on your own machine (Apple Silicon / MLX), with no cloud and ~10ms after warm-up. Not a chatbot. No token-by-token text, no JSON that can break. One forward pass returns a structured answer you can branch on. Ideal for routing, triage, classification, lead scoring, and g

Fetches category data from a Q&A service API and returns a markdown summary grouped by category.

Enables AI agents to interact with State Farm insurance for quotes, policy management, claims, payments, and more.

Enables managing WhatsApp Business accounts through natural language, including sending messages, managing contacts, and querying conversations.

Enables AI agents to interact with the Teladoc telehealth platform to search for providers, book virtual appointments, and manage prescriptions. It also supports secure messaging and access to past visit history through the Model Context Protocol.

A read-only hospitality-focused MCP server that enables users to retrieve reservation details, listing briefs, and guest conversation contexts from Hostaway. It simplifies hospitality workflows by providing specialized tools for searching threads and viewing reservation data through natural language interfaces.

An MCP server that enables AI agents to interact with GEICO insurance services, including getting quotes, managing policies, filing claims, making payments, retrieving ID cards, requesting roadside assistance, and reporting accidents.

Enables reading Apple App Store customer reviews, publishing developer responses, and deleting them via the App Store Connect API with a narrow Customer Support role.

Enables small-business AI assistants to answer customer questions about hours, offerings, FAQs, staff, and booking from a single business.yaml config, with industry-specific tools and guardrails.

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.

MCP server for managing and composing customer replies for a phone and computer repair shop, with built-in templates and WhatsApp link generation. Supports Arabic and English.

Enables AI assistants to answer customer questions from a shop's own product catalog, FAQs, and policy documents, with read-only access and cited answers.

Books professional home cleaning services anywhere in metropolitan France end-to-end (coverage check, firm quote, booking creation, URSSAF "avance immédiate" enrollment, status polling). End users pay only 50% via SEPA direct debit thanks to the URSSAF immediate tax credit advance — no card payment required.

MCP server for ManageEngine ServiceDesk Plus that lets AI agents list, search, create, update, and manage help desk tickets and technical notes in real-time.

Manage WhatsApp Business templates and send messages from Claude, ChatGPT, Cursor, VS Code Copilot, or any MCP-compatible client — powered by the Meta Cloud API.

Enables monitoring, reporting, and resolving of customer support tickets through a set of read-oriented tools and a human-approved status update, using synthetic data generated locally via Ollama and stored in BigQuery.

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 assistants like Cursor to manage customer support tickets in SQLite through MCP tools, supporting creation, retrieval, search, and updates via natural language.