GitScrum MCP Server for OpenAI Agents SDK 16 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect GitScrum 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 Assistant",
instructions=(
"You help users interact with GitScrum. "
"You have access to 16 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from GitScrum"
)
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 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
The OpenAI Agents SDK auto-discovers all 16 tools from GitScrum through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries GitScrum, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
The GitScrum MCP Server exposes 16 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 to OpenAI Agents SDK via MCP
Follow these steps to integrate the GitScrum 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 16 tools from GitScrum
Why Use OpenAI Agents SDK with the GitScrum MCP Server
OpenAI Agents SDK provides unique advantages when paired with GitScrum 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 + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the GitScrum MCP Server delivers measurable value.
Automated workflows: build agents that query GitScrum, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries GitScrum, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through GitScrum tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query GitScrum to resolve tickets, look up records, and update statuses without human intervention
GitScrum MCP Tools for OpenAI Agents SDK (16)
These 16 tools become available when you connect GitScrum to OpenAI Agents SDK via MCP:
create_project
Create a new project
create_workspace
Create a new workspace
find_project
Find a project by name
get_me
Get authenticated user profile
get_project
Get project details
get_task
Get task details by UUID
get_workspace
Get workspace details
list_labels
List labels in a project
list_project_members
List members in a project
list_projects
List projects in a workspace
list_tasks
Filter by status (todo, in-progress, done). Essential for understanding project scope and workload. List tasks in a project
list_workflows
List workflows (columns) in a project
list_workspaces
List all GitScrum workspaces
my_role
Get my role in the workspace
project_stats
Get project statistics
workspace_stats
Get workspace statistics
Example Prompts for GitScrum in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with GitScrum immediately.
"Show me all the workspaces I have access to on GitScrum."
"Create a new project called 'Mobile App v2' in the acme-eng workspace with a description."
"What labels are available in the web-app project?"
Troubleshooting GitScrum MCP Server with OpenAI Agents SDK
Common issues when connecting GitScrum to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
GitScrum + OpenAI Agents SDK FAQ
Common questions about integrating GitScrum 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 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 to OpenAI Agents SDK
Get your token, paste the configuration, and start using 16 tools in under 2 minutes. No API key management needed.
