"Troubleshooting and debugging errors" matching MCP servers:

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.

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.

Enables AI to read live weather data and manage a persistent to-do list through MCP tools, demonstrating both read and write capabilities without API keys.

A comprehensive MCP server providing advanced Redmine project analytics, web automation via Playwright, and iTunes music integration. It enables detailed tracking of sprint metrics, bug counts, and team performance through a token-optimized tool architecture.

Provides AI clients with per-project todo management and persistent context notes via MCP, enabling task tracking and resume summaries.

A collection of MCP servers for Slack, Jira, Confluence, and release coordination to automate QA workflows and daily release status reporting.

A schema-aware MCP server for Redmine that validates issue writes against workflow graphs and custom field schemas to prevent errors, with tools for issue lifecycle, time tracking, wiki pages, and more.

Automates error tracking workflow by finding code owners in Bitbucket, retrieving related pull requests, and creating assigned JIRA tickets for code errors.

Provides comprehensive tools for interacting with the Shortcut API, enabling developers to manage stories, comments, projects, and analyze Loom videos for debugging insights.

A game development MCP server with 950+ curated docs across 29 engines and 5 power tools for scaffolding, debugging, design, and scope tracking. It connects to any AI supporting the Model Context Protocol.

Enables intelligent analysis of regression test failures and automatic discovery of solutions in JIRA. Analyzes test logs using AI-driven algorithms and matches errors with relevant JIRA issues through natural language interactions.

AI-powered website feedback and visual bug reporting MCP server that lets AI coding assistants access Vynix projects, annotations, and create GitHub issues with rich debugging context.

Connects AI assistants to ITM Platform for searching projects, inspecting budgets, creating tasks, logging risks and issues, and updating project details via natural language.

Enables interaction with Linear resources through an MCP interface, offering functionality for issue management and resource retrieval with rate limiting and error handling support.

Connects your Ashby recruiting data to Claude, enabling natural language queries and management of candidates, applications, jobs, interviews, offers, and team information.

A stdio MCP server that lets an AI assistant read and manage a self-hosted Donetick instance, including chores, recurrence, assignment, completions, activity history, circle members, and projects.

Enables AI assistants like Claude, ChatGPT, and Copilot to query live Jobber data—clients, jobs, quotes, invoices, revenue, and schedule—using natural language, with read-only access and careful API budget management.

Create visual whiteboards, diagrams, flowcharts, and project plans from AI conversations. 17 MCP tools for board management, element creation, and real-time collaboration.

MCP server to operate self-hosted Redmine from Claude Code, enabling project and issue management, search, and metadata retrieval via natural language.