Integrate GitScrum Sprints with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiAll sprints on GitScrum Sprints
List sprints across all workspaces
Create sprint on GitScrum Sprints
Create a new sprint
Create user story on GitScrum Sprints
Create a user story
Get sprint on GitScrum Sprints
Get sprint details
Get task on GitScrum Sprints
Get task details by UUID
List epics on GitScrum Sprints
List epics in a project
List sprints on GitScrum Sprints
List sprints in a project
List tasks on GitScrum Sprints
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 on GitScrum Sprints
List user stories in a project
Sprint kpis on GitScrum Sprints
Get sprint KPIs
Sprint metrics on GitScrum Sprints
Get detailed sprint metrics
Sprint progress on GitScrum Sprints
Get current sprint progress
Sprint reports on GitScrum Sprints
Resource: burndown, burnup, performance, types, efforts, member_distribution, task, type_distribution. Get sprint reports with charts
Sprint stats on GitScrum Sprints
Get sprint statistics
Update sprint on GitScrum Sprints
Update an existing sprint
Security & Code Integrity Audit
Every tool in the GitScrum Sprints MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
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 the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
What can AI Agents do with GitScrum Sprints?
The GitScrum Sprints integration provides structured, LLM-friendly schemas for reliable tool execution within your agentic workflows.
Autonomous sprint planning Strategies
The GitScrum Sprints server supports direct MCP connections for sprint planning. This provides Claude with the required permissions to execute productivity functions.
Cursor Copilot for agile methodology
Deploy the GitScrum Sprints toolkit to manage agile methodology. The integration offers robust endpoints for ChatGPT to control productivity settings.
GitScrum Sprints. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Explore More MCP Servers
View all →
Fireworks AI
6 toolsEmpower LLM applications via Fireworks AI — perform ultra-fast chat completions, generate embeddings and images, and transcribe audio directly from any AI agent.
Marqeta
31 toolsIssue cards, manage users, and process payments via Marqeta's modern card issuing platform.
Contrast Security
10 toolsEquip your AI with Contrast Security AppSec data to monitor applications and hunt critical vulnerabilities directly via chat.
Moody's
8 toolsCredit ratings and risk analysis — access issuer ratings, issue details, and rating actions via Moody's.