"Using Jira MCP to comment on subtasks, read descriptions, and create a test plan" 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.

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

A ServiceNow MCP server that enables natural language management of incidents via the Table API, with tools to create, read, update, search, comment on, and resolve incidents.

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 interaction with WhatsApp Business tools and services through a unified API.

Enables MCP clients to manage Tines cases via the Cases v2 API, supporting create, read, update, close, and comment operations. Runs in a container via podman/docker and defaults to read-only for safety.

Enables interaction with Dialpad's tools and services through a unified API, allowing users to manage communications via natural language.

Provides a standardized interface for interacting with Retell's tools and services through a unified API.

Enables AI agents to search, fetch, create, update, comment on, and resolve ServiceNow incidents using the caller's own bearer token, so all actions respect the token owner's ServiceNow ACLs.

MCP server exposing ServiceNow, Jira, and PagerDuty as unified tools for AI agents, enabling incident management, issue tracking, and on-call operations.

Enables AI assistants to connect to a Flow Master workspace and perform project, task, ticket, board, relationship, tag, and comment operations under the user's own account and permissions.

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

Comment moderation, multilingual sentiment analysis, and Influence (constructive comment generation) for any article. Wraps the SentiSift API.

A small MCP server that lets AI agents create, search, and update ServiceNow incidents through the Table API.

Enables AI agents to audit and analyze Zendesk instances through a read-only MCP interface, providing tools for triggers, automations, analytics, and cross-reference queries.

Enables AI agents to create, query, search, and manage Movidesk tickets directly via natural language.

A Model Context Protocol (MCP) server that connects AI assistants like Claude to your Chatwoot instance. Manage customer conversations, read messages, send replies, and filter by date ranges -- all through natural language.