Bring Workflow Automation
to OpenAI Agents SDK
Learn how to connect Activepieces to OpenAI Agents SDK and start using 32 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 Activepieces MCP Server?
Connect your Activepieces account to any AI agent to orchestrate complex automations and monitor your business workflows through natural language.
What you can do
- Flow Management — List, create, retrieve, and delete automation flows within your projects using
list_flowsandcreate_flow. - Execution Monitoring — Track flow runs, check statuses, and inspect detailed step results for debugging with
list_flow_runsandget_flow_run. - App Connections — Manage credentials and connections for external services like Slack, Discord, or Google Sheets via
list_app_connections. - Flow Operations — Apply structural changes or status updates to existing flows programmatically using
apply_flow_operation. - Organization — List and manage folders to keep your automation workspace tidy with
list_folders.
How it works
- Subscribe to this server
- Enter your Activepieces API Key
- Start orchestrating your automations from Claude, Cursor, or any MCP-compatible client
No more manual checking of execution logs or switching tabs to enable/disable flows. Your AI acts as a dedicated automation engineer.
Who is this for?
- DevOps & Automation Engineers — monitor flow health and trigger updates directly from the terminal or chat.
- Product Operations — manage app connections and verify data consistency across automated workflows.
- Marketing Teams — check the status of lead-gen flows and ensure integrations are running smoothly.
Built-in capabilities (32)
Add a custom piece to the platform
g., MOVE_ACTION, CHANGE_STATUS). Apply an operation to a flow
Configure Git sync for a project
Create a new flow
Create a new folder
Create a new project
Create a project release
Delete an app connection
Delete a flow by ID
Delete a folder
Delete a global connection
Remove a member from a project
Get a specific flow by ID
Get detailed execution data for a flow run
Get MCP server configuration for AI assistants
Invite a user to the platform or project
List app connections
List flow runs
List automation flows
List folders
List global connections
List members of a project
List projects
List records in a table
List internal data tables
List users
Rotate MCP token for a project
Update a folder name
Update project settings
Update a specific record
Supports SECRET_TEXT, OAUTH2, BASIC_AUTH, CUSTOM_AUTH, etc. Create or update an app connection
Create or update a global connection
Why OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 32 tools from Activepieces through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Activepieces, 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
Activepieces in OpenAI Agents SDK
Activepieces and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Activepieces 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.
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 Activepieces in OpenAI Agents SDK
The Activepieces 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 32 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.
* 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
Activepieces for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the Activepieces MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I check why a specific flow execution failed?
Yes. Use the get_flow_run tool with the Run ID to retrieve detailed execution data, including step results and error messages.
How do I update the status of an existing flow?
You can use the apply_flow_operation tool. It allows you to send an operation payload to change the flow's status or modify its structure.
Can I see which external apps are connected to my project?
Yes, the list_app_connections tool retrieves all credentials and connections configured for a specific Project ID.
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.
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.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
MCPServerStreamableHttp not found
Ensure you have the latest version: pip install --upgrade openai-agents
Agent not calling tools
Make sure your prompt explicitly references the task the tools can help with.
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