MCP server for managing test cases, cycles, and results in Zephyr Scale on self-hosted Jira. Enables AI agents to create, search, update, and delete test artifacts through natural language.
AI job search and job application tracker. Search live jobs by title, location, salary, date posted, and remote or on-site, and see each one checked on real data: pay against market rates, ghost-job signals, visa sponsorship history, and how well it matches your resume. Check how hiring software reads your resume, track applications, set follow-up reminders, and get email alerts.
Enables AI agents to read-only inspect an OmniFocus database, retrieving exact tasks and projects, Inbox roots, complete project hierarchies, tags, dates, notes and workload or review overviews. All access is read-only and bounded, with no mutation, write tools or sync triggers.
Gives local coding agents safe, read-only access to an existing Jira instance through MCP over stdio, keeping Jira credentials out of the LLM. It exposes tools for reading issues, comments, linked items, JQL search results, assigned open issues, and project metadata.
An MCP server that enables AI agents to drive Zephyr for Jira (Server/Data Center) test management via ZAPI. It exposes operations for test cycles, folders, executions, test steps, step results, and ZQL search over stdio for use with any MCP client.
Enables employees, approvers, and admins to register and manage time, view balances, cases, employees, and planning through Visma Intempus, with per-user scoping and fail-closed identity.
Enables AI assistants like Claude to interact with Lychee Redmine project management systems through API integration, allowing natural language access to project data and operations.
A TypeScript-based server that enables Cursor editor to interact with Jira tickets for viewing, creating, commenting on, and updating tickets directly from the editor.
Enables interaction with QA Studio test management platform directly from Claude, allowing users to manage projects, create test runs, view test results, create test cases, and submit manual test results through natural language.
An open-source Model Context Protocol server that enables interaction with the Linear API to manage issues, teams, and comments. It allows users to create, update, and search for issues while accessing workspace users and workflow states.
This server implementation allows AI assistants to interact with Asana's API, enabling users to manage tasks, projects, workspaces, and comments through natural language requests.
A Model Context Protocol server that provides seamless integration with Coroot observability platform, enabling monitoring of applications, analysis of performance metrics, examination of logs and traces, and management of infrastructure through Coroot's comprehensive API.