"Permission requirements to create and edit issues in Jira using MCP" matching MCP servers:

Enables LLMs to interact with Jira Cloud through the official REST API v3, supporting operations like creating issues, searching with JQL, fetching issue details, and managing transitions.

Connects AI assistants to Jira Service Management instances, providing 40 tools for managing service desks, requests, comments, customers, organizations, queues, SLA, approvals, and attachments.

Enables configuration of Jira Service Management Cloud via natural language, supporting request types, custom fields, forms, and more.

Enables AI-driven customer support ticket processing, including classification, response generation, and automated email sending and Google Sheets logging.

Run free live audience Q&A and polls from your agent: start an AskOne room, add and launch a poll, approve or hide questions and mark them answered, close the room, then read the questions as a FAQ draft and get the results. Free AI moderation. Uses an organization API token from askone.org

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

Soprano Connect MCP Server enables you to build AI agents that can communicate, engage customers, and manage communications workflows through the Soprano Connect platform using the Model Context Protocol (MCP).

This MCP server provides a single read-only tool to query official CPFL (electric utility) bill download data via a hosted, prepaid service without requiring platform credentials.

Enables AI assistants to query and operate a help desk and service desk through MCP over HTTP, including tickets, requester communications, internal notes, attachments, stage and SLA history, time entries, clients, requesters, desks, knowledge base, contracts, and billing/satisfaction reports.

Enables managing a company's Reclame Aqui complaints using the Company Area account, including listing complaints, reading details, checking reputation, and replying to consumers.

Enables AI assistants to search tickets, manage tags, create tickets, inspect automations, and more in Zendesk.

Enables searching, retrieving, creating, and updating issues and tickets in DevRev using natural language.

An MCP server that enables interaction with Twilio Frontline API for customer communication workflows, auto-generated using AG2's MCP builder.

Enables Claude to make outbound phone calls through Vapi API, supporting any call type and language with features like call initiation, result polling, and structured data extraction.

Enables AI agents to safely operate HubSpot CRM contacts, deals, and pipelines via MCP, with caching, idempotency, audit trails, and robust error handling.

Enables AI agents to prompt users for input directly within the chat UI using MCP's elicitation capabilities, allowing for interactive multi-turn conversations without leaving the conversation interface.

Provides MSP support tools (ticket search, draft response, KB search, update) with a deterministic security guardrail that refuses to draft responses for security tickets based on content scanning, even if mislabeled.

Enables AI agents to discover and call Xyte's device management API endpoints with typed validation, supporting fleet investigation, ticket management, and routine operations through natural language.