"New Relic" matching MCP servers:

Enables triage of GitHub issues by fetching and filtering issues, checking claim status, and listing new open issues across a watch-list.

Enables HR and managers to create role-based task templates, turn them into dated checklists per new hire, track task owners and due dates, and sign off with a preserved record.

Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.

Enables HR to onboard new hires by copying position templates into personalized roadmaps with working-day deadlines, tracking task completion, and automatically finalizing records when all tasks are done.

Provides Jira Cloud integration for AI agents, enabling them to search issues with JQL, retrieve detailed issue information, and create new tickets. It supports multiple Jira configurations and provides tools for managing attachments and comments through natural language.

MCP server for tracking decision logs and open questions in AI-assisted projects, offering tools to fetch context, list decisions and open items, and draft new decisions.

A basic MCP server that exposes a to-do list, letting users read tasks, add new tasks, mark them complete, and generate a daily summary.

Enables MCP clients to interact with Jira for managing tasks, including fetching assigned issues and creating new tasks. It supports retrieving detailed task information and filtering by project or status using the Jira API.

Enables querying Jira issues using JQL and creating new issues programmatically via natural language.

An MCP server that enables users to manage CodebaseHQ tickets and track project activity through natural language. It supports searching tickets, viewing discussions, and performing updates such as creating new tickets or changing assignments and statuses.

A Model Context Protocol (MCP) server that integrates with Atlassian Jira to search issues, retrieve details, access comments, create new issues, and update issues.

An MCP server that assists with the orchestration of new software projects by applying standardized templates and best practices in design patterns and software architecture.

Extends AI assistants with specialized tools for Cox Automotive workflows, connecting IDEs and clients to Rally, GitHub Enterprise, New Relic, Salesforce, and more through the Model Context Protocol.

Managed Code Plugin for Cursor IDE providing integration with Atlassian products (JIRA, Confluence, BitBucket), enabling developers to search for tasks, create new issues, view documentation, and manage code repositories directly from the IDE.

A Model Context Protocol server that enables interaction with Shortcut (formerly Clubhouse) project management tool, allowing users to view and search projects, stories, epics, and objectives, as well as create new items through natural language.

An MCP server that automates HR onboarding tasks including employee management, email, ticketing, meeting scheduling, and leave management, enabling AI agents to handle new-hire workflows from a single prompt.

Connect AI assistants to Kanera project management. Search and manage work across boards and workspaces, including cards, assignments, due dates, checklists, comments, attachments, personal notes, priorities, automations, activity history, reporting, and portfolio insights. Kanera MCP also supports creating new workspaces and boards from templates.

Enables AI systems to interact with JIRA through natural language, allowing users to retrieve issue details, create new tickets, search using JQL, and access project information.

Enables integration with Google Tasks API to create and manage tasks through OAuth 2.0 authentication. Supports listing task lists and creating new tasks with automatic token refresh.

Enables git-versioned project state for AI sessions, capturing decisions, constraints, and rejected paths with confidence and provenance. It provides a deterministic resume context so new sessions continue without losing direction or re-proposing rejected work.