Bring Workspace Management
to CrewAI
Create your Vinkius account to connect GitScrum to CrewAI and start using all 16 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 MCP Server?
What you can do
- Browse workspaces — list all your organizational workspaces and retrieve details for each one
- Manage projects — list, create, and inspect projects with full metadata including members and settings
- Configure workflows — view and manage Kanban column definitions and workflow templates
- Organize with labels — list, create, and update color-coded labels to categorize work
- Access your profile — retrieve the authenticated user's profile across all workspaces
How it works
- Subscribe to the GitScrum integration from the marketplace
- Generate a personal API token in GitScrum Settings → API and enter it along with your company slug
- Start asking your AI agent to explore workspaces, create projects, or configure boards — works in Claude, Cursor, and any MCP-compatible client
Your agent becomes your command center for the organizational backbone of GitScrum.
Who is this for?
- Engineering managers — quickly audit workspace structure and project configurations without switching tabs
- Team leads — set up new projects with workflows and labels in seconds via natural language
- Developers — inspect project settings and member lists during planning sessions
Built-in capabilities (16)
Create a new project
Create a new workspace
Find a project by name
Get authenticated user profile
Get project details
Get task details by UUID
Get workspace details
List labels in a project
List members in a project
List projects in a workspace
Filter by status (todo, in-progress, done). Essential for understanding project scope and workload. List tasks in a project
List workflows (columns) in a project
List all GitScrum workspaces
Get my role in the workspace
Get project statistics
Get workspace statistics
Why CrewAI?
When paired with CrewAI, GitScrum becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call GitScrum 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
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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 in CrewAI
Why run GitScrum with Vinkius?
The GitScrum 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 16 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 using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
GitScrum and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect GitScrum 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 for CrewAI
Every request between CrewAI and GitScrum 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 list all workspaces and drill into specific project details?
Absolutely. Use list_workspaces to browse all your organizational workspaces, then list_projects to see every project within a workspace. Your agent returns full metadata including member counts, settings, and creation dates — all without leaving your conversation.
I need to set up a new project with custom workflows and labels — can I do it all conversationally?
Yes. Tell your agent to create the project, then ask it to configure the workflow columns and create color-coded labels. The agent chains create_project, list_workflows, and create_label tools automatically to set up your board exactly as you describe it.
Does this integration let me modify or delete projects?
This core integration focuses on workspace exploration, project creation, and configuration management — including workflows and labels. For task-level operations like CRUD, subtasks, and checklists, use the dedicated GitScrum Tasks integration. All actions respect your GitScrum account permissions.
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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