"Testing Kubernetes Network Policies" matching MCP servers:

Enables AI assistants to read IT asset management, ITSM, and network inventory data from Alloy Navigator via its REST API, supporting object queries, activity logs, and reference-value lookups using OAuth2 application credentials.

Enables full CRUD operations on Zendesk admin configurations like triggers, automations, macros, views, SLA policies, groups, ticket fields, forms, and webhooks, with a preview-confirm guard for destructive changes.

Enables AI agents to manage phone numbers, send/receive SMS, and place voice calls through natural language, connecting to the phone network via the AgentPhone API.

Enables AI agents to query, and when writes are enabled operate, an ISP management platform in natural language, including subscriber lookup, internet profiles, work orders, technicians, and network status. It runs locally against the platform’s public API with an API key, defaults to read-only, and redacts personal contact and document fields from agent-visible responses.

Publish, schedule, moderate your social inbox, and pull analytics across every major network directly from any AI assistant, via Eclincher.

Enables managing fictional insurance policies through MCP, including creating, retrieving, and updating policies, querying coverage options, and processing claims.

Enables AI assistants to search and retrieve support tickets, add notes, close tickets, and access SLA policies through MCP tools, resources, and prompts over Streamable HTTP.

An MCP server for ISP management that enables agents to handle customer onboarding, billing, ticketing, network monitoring, and compliance (RICA/POPIA) via 20 tools.

Enables MCP clients to interact with ServiceNow instances for IT service management, CMDB, ITOM, and other domains via a governed skill catalog and runtime that enforces ACLs, business rules, and data policies.

Enables MCP clients such as Claude Desktop and Cursor to query bargain policies, search a local knowledge base, fetch server time, and delegate full e-commerce customer-service conversations to a complete agent graph that returns ready-to-send replies. Three tools work offline without an API key, while full agent delegation requires a configured LLM.

Exposes ConnectWise Platform APIs as MCP tools, enabling management of companies, contacts, devices, policies, patches, and tickets through natural language.

Enables authorized clients to invoke tenant-aware conversational assistant tools and resources over MCP, including durable conversations, agent configuration, connector policies, and PostgreSQL-backed data.

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 cross-border ecommerce support teams to analyze logistics exceptions, retrieve citable policies, draft bilingual customer replies, and create idempotent tickets under human confirmation.

Enables autonomous arbitration of refund and dispute cases by validating carrier proofs and policies through a deterministic, zero-dependency Python engine that integrates with MCP-compliant clients.

Enables autonomous refund and dispute arbitration by validating carrier proofs and policies, producing structured output dossiers with execution telemetry.

Exposes read-only knowledge base articles on returns, warranty and shipping policies alongside tools that search, retrieve and create real support tickets. This lets an LLM agent ground its answers in store policy without inventing information, and act on actual ticket data rather than simulated records.

Enables MCP-compatible clients to search TV products and knowledge, retrieve promotions, check fulfillment details, and look up after-sales policies while flagging high-risk cases for human transfer.

Enables AI agents to search HR policies, create IT support tickets, and send external emails with configurable security levels and human-in-the-loop validation.

Enables natural language queries over internal policy documents using RAG, and provides tools to search policies and check ticket status via MCP.