"A generic RESTful API request tool for testing and integration" matching MCP servers:

Enables Boneyard to call authenticated, stateless Streamable HTTP tools for searching tickets and adding ticket comments, with caller context, attribution, and bounded results.

Enables secure interaction with Request Tracker (RT) for ticket management, including search, creation, updates, resolution, time tracking, and workflow automation.

Enables Claude Code to read and write issues on the Testing Platform via natural language, including listing projects, filtering issues, creating and updating issues, and adding comments.

Enables Jira integration with dynamic configuration, time logging, task creation, issue updates, and bulk imports through natural language.

Enables async-first working practices by providing tools to draft decision docs, convert meetings to async artifacts, score status updates, and triage sync vs async tasks. It also offers reference tools for the Open and Async book's principles and coaching prompts.

Enables AI agents to break down complex tasks into manageable pieces using a structured JSON format with task tracking, context preservation, and progress monitoring capabilities.

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.

MCP server enabling AI agents to interact with OpenProject API v3 for project management, including creating and managing work packages, projects, comments, time entries, boards, and user dashboards.

MCP server for Todoist API integration, allowing management of tasks, projects, sections, labels, and comments through natural language.

MCP server enabling interaction with ServiceNow API for managing incidents, CMDB, change management, and other ServiceNow operations via natural language.

An MCP server that talks directly to Jira Cloud REST API v3 using static credentials and exposes tools for discovering customfield IDs, resolving account IDs, and updating issue fields including ADF JSON.

Enables AI assistants to manage Tempo timesheets and perform write operations such as create, update, delete, submit, approve, reject, reopen, and recall, with user confirmation safeguards.

Enables AI clients to create and manage tasks via a local REST API by converting natural language into HTTP requests through the Model Context Protocol.

A Model Context Protocol server that enables Large Language Models to interact with ClickUp workspace tasks and data, allowing creation and retrieval of tasks through natural language.

MCP for Azure DevOps Boards is a MCP server that lets your favourite AI browse, query and update Azure DevOps work items as if it were a project manager. Written in Rust and optimized for tokens usagem, It runs via stdio or HTTP mode and uses standard Azure authentication with az login.

A comprehensive Model Context Protocol server for YouTrack integration, providing extensive tools for issue tracking, project management, workflow automation, and team collaboration.

Enables AI-powered project management by connecting Claude to Planka kanban boards via 75+ MCP tools for creating, updating, and managing projects, boards, lists, and cards.

Enables Claude to manage a personal todo list in Notion, with capabilities to add, view, and complete tasks.

Enables AI assistants to read and manage YouGile boards, including projects, columns, tasks, and comments.

Captures comprehensive context about development issues and facilitates human assistance through structured API-based help requests.