"JetBrains YouTrack issue and project tracking tool" matching MCP servers:

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

An MCP server that enables interacting with YouTrack through natural language, covering issues, comments, projects, time tracking, agile boards, and more via the YouTrack REST API.

MCP server for comprehensive YouTrack integration, enabling issue management, work tracking, search, and knowledge base operations.

A comprehensive Model Context Protocol server that provides AI agents with 44 tools to manage JetBrains YouTrack issues, sprints, and projects via the REST API. It supports full YouTrack query language and works with both Cloud and Server instances for complete project management integration.

Enables AI assistants to interact with JetBrains YouTrack 2025.2 for managing issues, sprints, dependencies, time tracking, and knowledge base content. Supports CRUD operations, bulk commands, analytics with Gantt charts and critical path analysis, and covers ~80% of the YouTrack REST API.

Enables automatic GitHub issue creation from Git diffs. Generates structured issue templates with summaries, technical notes, and appropriate labels based on code changes.

Enables supervised creation of tracking stack resources—WhatConverts accounts/profiles, GA4 properties, and GTM containers—with dry-run-by-default writes, duplicate-name refusal, rate limiting, and an append-only action log.

Enables natural language time tracking through Claude with markdown file storage. Supports multi-company tracking, flexible time parsing, auto-calculated summaries, and commitment warnings all through conversational input.

Enables AI-powered GitHub issue management by converting natural-language bug reports into structured issues, detecting duplicates via semantic analysis, and requiring human approval before creating issues on GitHub.

Enables AI coding agents to file and track issues, plan epics with steps, comment as they work, and hand decisions back to the user through a local Markdown- and YAML-backed issue tracker.

A minimal MCP server that enables AI assistants to manage a kanban issue board. It provides tools for listing, creating, updating, and deleting issues with support for both local development and team deployments.

Provides tools for managing project knowledge graphs, enabling structured representation of projects, tasks, milestones, resources, and team members.

Read-only MCP server that fetches a single Jira issue by key and returns its title, description, comments, attachment summary, and image attachments.

A production-ready MCP server for Google Tag Manager, GA4 Measurement Protocol, DataLayer schema validation, Meta CAPI auditing, and tracking code snippet generation.

A tool discovery MCP server that integrates with Azure DevOps wikis and code-graph-rag to match natural language goals to tools, enabling tool composition and proxy testing.

Enables LLMs to read and write local user data, generate fake users via sampling, and interact with structured prompts and resources.

MCP server for creating, listing, inspecting, and validating tracking plans for ecommerce and lead-generation businesses, with JSON storage and TypeScript implementation.

Allows tracking of parcel deliveries across various carriers using the 17track.net API, with automatic or manual carrier detection.

Enables interaction with Jira through OAuth 2.0 to create and manage issues directly from MCP-compatible clients. It supports secure authentication and local token caching to facilitate automated task management within Jira projects.

Enables coding agents in different editors and MCP clients to share messages, project context, notes, task ownership, handoffs, and advisory file claims through a local SQLite-backed coordination server. Supports MCP stdio, MCP Streamable HTTP, a JSON HTTP API, and a local CLI for multi-project agent collaboration.

Enables AI agents to query a repository's verified semantic model, including capabilities, ownership, contracts, constraints, impact, health, and verification status, without re-deriving project facts. It exposes read-only tools for inspecting, reasoning about, and verifying the provenance-tracked surface.

MCP server for Linear that enables creating, searching, updating, and commenting on issues, as well as accessing issues, teams, and user data. Integrates with Claude Desktop and other MCP clients.

Track ocean containers across 200+ shipping lines by container, bill of lading, or booking number — live milestones, vessel positions, ETAs, and demurrage & detention free time.

A local, provider-neutral MCP server for repository-scoped issue handling. It provides a guarded interface to Linear, GitHub Issues, GitHub Projects v2, and Jira Cloud, with preview/apply safety and host-local configuration.

Provides agents with tools to score a page's AI readiness, check which AI crawlers robots.txt blocks, and assess passage citability—all performed locally.

Enables AI clients to read structured project context and propose task changes that require explicit human approval, with scoped permissions, idempotency, and a full audit trail.

Turns any OpenAPI spec into a single-tool MCP server where the model writes JavaScript against a typed api object in a QuickJS sandbox, so multi-step tasks run in one round trip and only the final result reaches context. Credentials, rate limiting, retries, write gating and audit logging stay on the host, outside the sandbox.

A simple MCP server built with MCPize providing hello and echo tools for demonstration purposes.

Enables AI assistants to manage GitHub issues using deterministic priority scoring and concurrency-safe locking. It supports a structured eight-phase workflow from issue selection through pull request review to ensure consistent prioritization and progress tracking.

A self-hosted remote MCP server for cross-model AI session handoff, allowing users to start a project in one AI assistant and continue in another via shared project logs, files with version history, and full-text search, all stored in a single SQLite file on their own server.