3,400+ MCP servers ready to use
Vinkius
O

Bring Task Management
to OpenAI Agents SDK

Learn how to connect Sally to OpenAI Agents SDK and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Add CommentCheck Sally HealthCreate ProjectCreate TaskGet BoardGet ProfileGet ProjectGet TaskGet Timesheet ReportList ProjectsList TasksUpdate Task
Use with Your AI Agent
Ask AI about this MCP Server
ChatGPT Claude Perplexity

What is the Sally MCP Server?

Connect your Sally instance to any AI agent and take full control of your API-first project management through natural conversation.

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.

How it works

1. Subscribe to this server
2. Enter your Sally API key, instance URL, and workspace slug
3. Start managing projects from Claude, Cursor, or any MCP client

Who is this for?

  • Project Managers — create tasks, track progress, and review board status through AI commands.
  • AI Developers — automate agent-driven task management in a system designed for human+agent collaboration.
  • Operations Teams — monitor project velocity and timesheet data without switching tools.

Built-in capabilities (12)

add_comment

Comments are visible to all project members. Add a comment to a task

check_sally_health

Check Sally instance health

create_project

Create a new project

create_task

Optionally set priority (P1-P4), status, and labels. Create a new task in a project

get_board

Get the Kanban board view

get_profile

Get the authenticated user profile

get_project

Get details of a specific project

get_task

Get full details of a specific task

get_timesheet_report

Get timesheet report for the workspace or project

list_projects

List all projects in the workspace

list_tasks

Optionally filter by project ID to see tasks for a specific project. List tasks, optionally filtered by project

update_task

Only provided fields are changed. Update an existing task

Why OpenAI Agents SDK?

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.

  • —

    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

O
See it in action

Sally in OpenAI Agents SDK

AI Agent→Vinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Sally and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect Sally to OpenAI Agents SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Use with Your AI Agent View step-by-step setup guide for OpenAI Agents SDK →
Enterprise Security

Why teams choose Vinkius for Sally in OpenAI Agents SDK

The Sally 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in OpenAI Agents SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Use with Your AI Agent View full Sally details →
Sally
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures Sally for OpenAI Agents SDK

Every tool call from OpenAI Agents SDK to the Sally MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can I create a task with priority, labels, and status in one step?

Yes! Use create_task with the project ID, title, priority (P1-P4), status name, and comma-separated labels. The task is created instantly with all metadata.

02

How do I view my Kanban board from the AI agent?

Use get_board to retrieve the aggregated board data. Optionally pass a project ID to scope it to a specific project. Tasks are grouped by their status columns.

03

Does Sally require a hosted instance or cloud account?

Sally is a self-hosted, API-first project management system. You need your own Sally instance URL, an API key (atpm_ prefix), and your workspace slug to connect.

04

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.

05

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.

06

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

07

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

08

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.