Sally MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Add Comment, Check Sally Health, Create Project, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Sally through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this App Connector for OpenAI Agents SDK
The Sally app connector for OpenAI Agents SDK is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="Sally Assistant",
instructions=(
"You help users interact with Sally. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Sally"
)
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 Sally MCP Server
Connect your Sally instance to any AI agent and take full control of your API-first project management through natural conversation.
The OpenAI Agents SDK auto-discovers all 12 tools from Sally through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Sally, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Projects — Create, list, and inspect projects with full metadata.
- Tasks — Full CRUD with priorities (P1-P4), statuses, labels, and assignees.
- Comments — Add comments to any task for collaboration and status updates.
- Kanban Board — Retrieve the aggregated board view showing tasks organized by status columns.
- Timesheets — Access timesheet reports with tracked hours and billing information.
- Profile — Verify your authenticated identity and workspace permissions.
The Sally MCP Server exposes 12 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.
All 12 Sally tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to Sally through Vinkius, your AI agent gets direct access to every tool listed below — spanning task-management, kanban, api-first, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Comments are visible to all project members. Add a comment to a task
Check Sally instance health
Create a new project
Optionally set priority (P1-P4), status, and labels. Create a new task in a project
Get the Kanban board view
Get the authenticated user profile
Get details of a specific project
Get full details of a specific task
Get timesheet report for the workspace or project
List all projects in the workspace
Optionally filter by project ID to see tasks for a specific project. List tasks, optionally filtered by project
Only provided fields are changed. Update an existing task
Connect Sally to OpenAI Agents SDK via MCP
Follow these steps to wire Sally into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the Sally MCP Server
OpenAI Agents SDK provides unique advantages when paired with Sally 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
Sally + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Sally MCP Server delivers measurable value.
Automated workflows: build agents that query Sally, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Sally, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Sally tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Sally to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Sally in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Sally immediately.
"List all projects in my Sally workspace."
"Create a P2 task 'Implement auth middleware' in project proj_abc123 with labels 'backend, security'."
"Show me the Kanban board for project proj_abc123."
Troubleshooting Sally MCP Server with OpenAI Agents SDK
Common issues when connecting Sally to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Sally + OpenAI Agents SDK FAQ
Common questions about integrating Sally 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.