"Workflow for handling a Jira ticket and creating a GitHub Pull Request" matching MCP servers:

Local MCP server for A-share stock trading via Tonghuashun, offering account/position queries, buy/sell/cancel orders with risk controls and forced user confirmation; currently simulated with a reserved interface for real broker channels.

Transforms free-text feature requests into well-formed tickets for Jira, GitHub, GitLab, and Linear, handling clarification, formatting, and duplicate detection while leaving the actual submission to the caller.

A lightweight, powerful, and flexible workflow engine that executes tasks defined in YAML configuration files.

Enables AI agents to create private GitHub issues for decisions, send email alerts, wait for human comments, and parse replies so work can resume. Supports guided setup and MCP integration without requiring separate AI API keys or an always-on cloud server.

Enables automatic HTTP requests (GET, POST, PUT, DELETE, etc.) with JSON validation and proxy support. Supports custom headers, request bodies, and environment variable configuration for seamless API integration.

Enables deterministic, resumable workflow automation through DAG step graphs, boolean gate branching, automatic parallel execution, and in-step agent loops with sandboxed file and command tools.

A Model Context Protocol server that enables ChatGPT and other AI assistants to directly interact with JIRA issues, currently offering the ability to retrieve issue details.

MCP to Connect JIRA by NodeJs

A TypeScript-based MCP server that enables AI assistants to execute HTTP requests with full control over methods, headers, and body content. It facilitates seamless interaction with web APIs and endpoints through a versatile tool that handles automatic JSON formatting and response truncation.

Enables control and interaction with Jira through the Jira Command Line interface, allowing users to manage Jira tasks and operations through natural language commands.

Guides agents through structured workflows with predefined steps, allowing for flexible execution via instructions and tool calls.

Enables intelligent workflow automation for JD's FOP platform, supporting PRD analysis, code generation, and flowchart creation with smart retrieval optimization and standardized file naming rules.

A Model Context Protocol (MCP) server for programmatically creating and managing n8n workflows.

Enables Claude Code to browse, create, edit, and publish Pulse workflows by exposing workflow operations as MCP tools.

An MCP server that enables AI assistants to interact with JIRA, allowing for querying issue details, creating and updating work items, and managing attachments through a standardized interface.

Enables AI applications to manage JIRA issues, workflows, and tasks through a standardized MCP interface, facilitating real-time updates and seamless interaction with JIRA's API.

Self-hosted MCP server that enables reading, sending, and automating Proton Mail via Bridge, with optional SimpleLogin alias management.

Enables headless Jira Cloud automation via MCP: create issues and subtasks, read and JQL-search issues, inspect agile boards and swimlanes, move issues through workflows, and add comments and attachments.

Enables AI assistants to manage n8n automation workflows through natural language commands, including creating, executing, monitoring, and organizing workflows with full CRUD operations and execution management.

Enables creating, inspecting, validating, publishing, and debugging VibeX DAG Workflows as source files, with run control and safe revision management.