Bring Task Management
to AutoGen
Learn how to connect Sally to AutoGen and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
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)
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
Why AutoGen?
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Sally tools. Connect 12 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Sally tools to solve complex tasks
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Role-based architecture lets you assign Sally tool access to specific agents. a data analyst queries while a reviewer validates
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Human-in-the-loop support: agents can pause for human approval before executing sensitive Sally tool calls
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Code execution sandbox: AutoGen agents can write and run code that processes Sally tool responses in an isolated environment
Sally in AutoGen
Sally and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Sally to AutoGen 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.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Sally in AutoGen
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 AutoGen 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.
* 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
How Vinkius secures
Sally for AutoGen
Every tool call from AutoGen to the Sally MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
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.
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.
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.
How does AutoGen connect to MCP servers?
Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Sally tools during their conversation turns.
Can different agents have different MCP tool access?
Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.
Does AutoGen support human approval for tool calls?
Yes. Configure human-in-the-loop mode so agents pause and request approval before executing sensitive MCP tool calls.
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Install: pip install "autogen-ext[mcp]"