Bring Bpm
to AutoGen
Learn how to connect Zeev to AutoGen and start using 11 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Zeev MCP Server?
What you can do
- List and manage your pending tasks in real-time.
- Start new process requests with custom form data.
- Complete tasks and make decisions directly from your AI agent.
- Delegate tasks to other team members and track process history.
How it works
- Get your Zeev domain and API Key from your profile settings.
- Enter your credentials in Vinkius platform.
- Start chatting with your Zeev agent to manage your workflows.
Who is it for?
- Process managers looking for automated workflow control.
- Operations teams needing quick task execution.
- Developers integrating BPM into their AI-driven applications.
Built-in capabilities (11)
Cancel an active process request
Start a new process request in Zeev
Delegate a task to another user
Finish/Complete a Zeev task
Get current user information
Get details of a process definition
Get details of a specific process request
Get details of a specific Zeev task
List available process definitions
List process requests (instances) in Zeev
List pending tasks in Zeev
Why AutoGen?
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Zeev tools. Connect 11 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.
- —
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Zeev tools to solve complex tasks
- —
Role-based architecture lets you assign Zeev tool access to specific agents. a data analyst queries while a reviewer validates
- —
Human-in-the-loop support: agents can pause for human approval before executing sensitive Zeev tool calls
- —
Code execution sandbox: AutoGen agents can write and run code that processes Zeev tool responses in an isolated environment
Zeev in AutoGen
Zeev and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Zeev 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 | 4,000+ 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 Zeev in AutoGen
The Zeev 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 11 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
Zeev for AutoGen
Every tool call from AutoGen to the Zeev MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I start any process using the AI agent?
Yes, as long as you have the process ID and the required initial form data.
Is it possible to delegate tasks to specific users?
Yes, you can use the delegate_task tool by providing the Task ID and the target User ID.
Can I see the history of a request?
Yes, the get_request tool provides details including the current status and history of the instance.
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 Zeev 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.
McpWorkbench not found
Install: pip install "autogen-ext[mcp]"
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