GitScrum Sprints MCP Server for OpenAI Agents SDK 15 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect GitScrum Sprints through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="GitScrum Sprints Assistant",
instructions=(
"You help users interact with GitScrum Sprints. "
"You have access to 15 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from GitScrum Sprints"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About 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
The OpenAI Agents SDK auto-discovers all 15 tools from GitScrum Sprints through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries GitScrum Sprints, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
The GitScrum Sprints MCP Server exposes 15 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect GitScrum Sprints to OpenAI Agents SDK via MCP
Follow these steps to integrate the GitScrum Sprints MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 15 tools from GitScrum Sprints
Why Use OpenAI Agents SDK with the GitScrum Sprints MCP Server
OpenAI Agents SDK provides unique advantages when paired with GitScrum Sprints through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
GitScrum Sprints + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the GitScrum Sprints MCP Server delivers measurable value.
Automated workflows: build agents that query GitScrum Sprints, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries GitScrum Sprints, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through GitScrum Sprints tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query GitScrum Sprints to resolve tickets, look up records, and update statuses without human intervention
GitScrum Sprints MCP Tools for OpenAI Agents SDK (15)
These 15 tools become available when you connect GitScrum Sprints to OpenAI Agents SDK via MCP:
all_sprints
List sprints across all workspaces
create_sprint
Create a new sprint
create_user_story
Create a user story
get_sprint
Get sprint details
get_task
Get task details by UUID
list_epics
List epics in a project
list_sprints
List sprints in a project
list_tasks
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
List user stories in a project
sprint_kpis
Get sprint KPIs
sprint_metrics
Get detailed sprint metrics
sprint_progress
Get current sprint progress
sprint_reports
Resource: burndown, burnup, performance, types, efforts, member_distribution, task, type_distribution. Get sprint reports with charts
sprint_stats
Get sprint statistics
update_sprint
Update an existing sprint
Example Prompts for GitScrum Sprints in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with GitScrum Sprints immediately.
"What's the progress of our current sprint in the web-app project?"
"Create a new sprint 'Sprint 15 — Payments' from April 14 to April 28."
"Show me the velocity metrics for the last completed sprint."
Troubleshooting GitScrum Sprints MCP Server with OpenAI Agents SDK
Common issues when connecting GitScrum Sprints to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
GitScrum Sprints + OpenAI Agents SDK FAQ
Common questions about integrating GitScrum Sprints MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect GitScrum Sprints with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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.
Connect GitScrum Sprints to OpenAI Agents SDK
Get your token, paste the configuration, and start using 15 tools in under 2 minutes. No API key management needed.