Activepieces MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 32 tools to Add Piece, Apply Flow Operation, Configure Git Repo, and more

Name: Activepieces
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Activepieces through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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The Activepieces MCP Server for OpenAI Agents SDK is a standout in the Productivity category — giving your AI agent 32 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python

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="Activepieces Assistant",
            instructions=(
                "You help users interact with Activepieces. "
                "You have access to 32 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Activepieces"
        )
        print(result.final_output)

asyncio.run(main())

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

About Activepieces MCP Server

Connect your Activepieces account to any AI agent to orchestrate complex automations and monitor your business workflows through natural language.

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.

What you can do

Flow Management — List, create, retrieve, and delete automation flows within your projects using list_flows and create_flow.
Execution Monitoring — Track flow runs, check statuses, and inspect detailed step results for debugging with list_flow_runs and get_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.

The Activepieces MCP Server exposes 32 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 32 Activepieces tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Activepieces through Vinkius, your AI agent gets direct access to every tool listed below — spanning workflow-automation, no-code, business-process, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

add

Add piece on Activepieces

Add a custom piece to the platform

apply

Apply flow operation on Activepieces

g., MOVE_ACTION, CHANGE_STATUS). Apply an operation to a flow

configure

Configure git repo on Activepieces

Configure Git sync for a project

create

Create flow on Activepieces

Create a new flow

create

Create folder on Activepieces

Create a new folder

create

Create project on Activepieces

Create a new project

create

Create project release on Activepieces

Create a project release

delete

Delete app connection on Activepieces

Delete an app connection

delete

Delete flow on Activepieces

Delete a flow by ID

delete

Delete folder on Activepieces

Delete a folder

delete

Delete global connection on Activepieces

Delete a global connection

delete

Delete project member on Activepieces

Remove a member from a project

get

Get flow on Activepieces

Get a specific flow by ID

get

Get flow run on Activepieces

Get detailed execution data for a flow run

get

Get mcp server on Activepieces

Get MCP server configuration for AI assistants

invite

Invite user on Activepieces

Invite a user to the platform or project

list

List app connections on Activepieces

List app connections

list

List flow runs on Activepieces

List flow runs

list

List flows on Activepieces

List automation flows

list

List folders on Activepieces

List folders

list

List global connections on Activepieces

List global connections

list

List project members on Activepieces

List members of a project

list

List projects on Activepieces

List projects

list

List records on Activepieces

List records in a table

list

List tables on Activepieces

List internal data tables

list

List users on Activepieces

List users

rotate

Rotate mcp token on Activepieces

Rotate MCP token for a project

update

Update folder on Activepieces

Update a folder name

update

Update project on Activepieces

Update project settings

update

Update record on Activepieces

Update a specific record

upsert

Upsert app connection on Activepieces

Supports SECRET_TEXT, OAUTH2, BASIC_AUTH, CUSTOM_AUTH, etc. Create or update an app connection

upsert

Upsert global connection on Activepieces

Create or update a global connection

Connect Activepieces to OpenAI Agents SDK via MCP

Follow these steps to wire Activepieces into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 32 tools from Activepieces

Why Use OpenAI Agents SDK with the Activepieces MCP Server

OpenAI Agents SDK provides unique advantages when paired with Activepieces 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

Activepieces + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Activepieces MCP Server delivers measurable value.

Automated workflows: build agents that query Activepieces, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Activepieces, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Activepieces tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Activepieces to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Activepieces in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Activepieces immediately.

"List all active automation flows in project 'proj_123'."

"Show me the last 5 runs for flow ID 'flow_1'."

"Create a new flow named 'Customer Support Sync' in project 'proj_123'."

Troubleshooting Activepieces MCP Server with OpenAI Agents SDK

Common issues when connecting Activepieces to OpenAI Agents SDK through Vinkius, and how to resolve them.

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.

Activepieces + OpenAI Agents SDK FAQ

Common questions about integrating Activepieces MCP Server with OpenAI Agents SDK.

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.

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