Bring Sprint Planning
to Pydantic AI
Create your Vinkius account to connect GitScrum Sprints to Pydantic AI and start using all 15 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 Sprints MCP Server?
What you can do
- Sprint lifecycle — create, update, delete, and inspect sprints with precise date ranges and configurations
- Performance analytics — access sprint KPIs, detailed statistics, progress tracking, and velocity metrics in real-time
- Visual reports — retrieve burndown, burnup, performance, and distribution chart data for any sprint
- Backlog management — list and create user stories, browse epics, and view tasks filtered by sprint
- Cross-workspace visibility — list sprints across all workspaces for portfolio-level oversight
How it works
- Subscribe to the GitScrum Sprints integration from the marketplace
- Enter your GitScrum API token and company slug
- Ask your agent to review sprint progress, analyze velocity trends, or plan the next iteration — works in Claude, Cursor, and any MCP client
Your agent delivers sprint analytics and agile insights without requiring manual dashboard navigation.
Who is this for?
- Scrum masters — review sprint KPIs and progress during standups and retrospectives
- Engineering managers — track velocity trends and team throughput across sprints
- Product owners — manage user stories and epics while monitoring delivery cadence
Built-in capabilities (15)
List sprints across all workspaces
Create a new sprint
Create a user story
Get sprint details
Get task details by UUID
List epics in a project
List sprints in a project
Use the sprint_slug filter to see only tasks belonging to a specific sprint. Filter by status (todo, in-progress, done). List tasks in a project, optionally filtered by sprint
List user stories in a project
Get sprint KPIs
Get detailed sprint metrics
Get current sprint progress
Resource: burndown, burnup, performance, types, efforts, member_distribution, task, type_distribution. Get sprint reports with charts
Get sprint statistics
Update an existing sprint
Why Pydantic AI?
Pydantic AI validates every GitScrum Sprints tool response against typed schemas, catching data inconsistencies at build time. Connect 15 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your GitScrum Sprints integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your GitScrum Sprints connection logic from agent behavior for testable, maintainable code
GitScrum Sprints in Pydantic AI
Why run GitScrum Sprints with Vinkius?
The GitScrum Sprints 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 15 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 Sprints using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
GitScrum Sprints and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect GitScrum Sprints to Pydantic AI 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 Sprints for Pydantic AI
Every request between Pydantic AI and GitScrum Sprints 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 show me the burndown chart data for the current sprint?
Yes! Use sprint_reports with the resource set to 'burndown'. Your agent returns the ideal versus actual burn-down data points, so you can visualize or analyze sprint health instantly. You can also request 'burnup', 'performance', or 'member_distribution' reports.
Can I see what tasks are in a specific sprint?
Absolutely. Use list_tasks with the sprint_slug filter to see only tasks belonging to that sprint. You can further filter by status (todo, in-progress, done) to focus on what matters. Then use get_task to drill into any specific task for full details.
Does this integration support sprint velocity and metrics tracking?
Yes. Use sprint_metrics for detailed velocity, throughput, and efficiency data. Combined with sprint_kpis for high-level indicators and sprint_stats for task distribution analysis, you get a complete performance picture across any sprint.
How does Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your GitScrum Sprints MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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