Bring Task Management
to CrewAI
Create your Vinkius account to connect GitScrum Tasks to CrewAI and start using all 28 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the GitScrum Tasks MCP Server?
What you can do
- Full task lifecycle — create, update, delete, and toggle completion on tasks with rich metadata including types, effort levels, and dates
- Advanced filtering — query tasks by status, sprint, user story, assignee, label, type, effort, workflow column, blocker flag, and date ranges
- Subtask management — list, link, unlink subtasks and discover related tasks across your project
- Checklists — add checklist items with sub-items and toggle completion for granular progress tracking
- Team coordination — assign and unassign members, duplicate tasks, move between projects, and set story points
- Comments — list, create, update, and delete task comments for rich collaboration context
How it works
- Subscribe to the GitScrum Tasks integration from the marketplace
- Enter your GitScrum API token and company slug
- Start managing tasks conversationally — ask your agent to create tasks, assign team members, or review today's workload in Claude, Cursor, or any MCP client
Your agent handles the complete task lifecycle so you never need to context-switch to the GitScrum UI.
Who is this for?
- Developers — create and check off tasks without leaving the IDE
- Scrum masters — assign tasks, set estimates, and manage sprint backlogs via natural language
- Product managers — filter and review task progress across multiple dimensions instantly
Built-in capabilities (28)
Assign a user to a task
Use parent_id to create sub-items. Add a checklist item to a task
Supports rich text content. Add a comment to a task
Create a new task
g., Chore, Tech Debt) with a hex color code. Create a new task type
Delete a comment
This action cannot be undone. Delete a task permanently
Duplicate a task
Get task details by UUID
g., WEB-42) instead of UUID. Get task by human-readable code
Link an existing task as a subtask
List checklists on a task
Comments support rich text. List comments on a task
List effort/priority levels
List subtasks of a task
) with their colors. List task types in a project
Filter by status (todo, in-progress, done), sprint, user_story, users, labels, type, effort, workflow, is_blocker, is_archived, unassigned, created_at (YYYY-MM-DD=YYYY-MM-DD), closed_at, per_page. List tasks with advanced filters
Move a task to a different project
Get all tasks assigned to me
Get tasks due today
Get tasks related to a task
Set story points / estimate for a task
Toggle a checklist item done/undone
Toggle task completion status
Remove a user from a task
Unlink a subtask
Edit an existing comment
Update an existing task
Why CrewAI?
When paired with CrewAI, GitScrum Tasks becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call GitScrum Tasks tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
- —
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
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Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
GitScrum Tasks in CrewAI
Why run GitScrum Tasks with Vinkius?
The GitScrum Tasks connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 28 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect GitScrum Tasks using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
GitScrum Tasks and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect GitScrum Tasks to CrewAI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
GitScrum Tasks for CrewAI
Every request between CrewAI and GitScrum Tasks is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
Can my AI agent find a specific task by its human-readable code like WEB-42?
Yes! Use the get_task_by_code tool with the task code (e.g., WEB-42). Your agent will return the full task details including description, assignees, workflow status, labels, sprint association, time estimates, and checklist progress — in seconds.
I want to quickly see what I need to work on today. Can the agent help?
Absolutely. Use my_today_tasks to see everything due today, or my_tasks for your full assignment list across all workspaces. The agent returns task titles, project context, due dates, and current workflow status — your daily standup briefing in one command.
Can the agent manage task assignments and checklists too?
Yes. Use assign_member and unassign_member to manage task assignments by username. For checklists, use create_checklist_item to add items (including nested sub-items via parent_id), and toggle_checklist_item to mark them done. The complete task lifecycle is covered — from creation to completion.
How does CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.
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