Channable MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Channable through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="Channable Assistant",
instructions=(
"You help users interact with Channable. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Channable"
)
print(result.final_output)
asyncio.run(main())
* 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 Channable MCP Server
Connect your Channable account to any AI agent and orchestrate your marketplace order management and stock synchronization through natural conversation. Streamline how you sell across Amazon, eBay, bol.com, and more.
The OpenAI Agents SDK auto-discovers all 8 tools from Channable through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Channable, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Order Fulfillment — List and retrieve details for orders from all connected marketplaces natively
- Stock Synchronization — Update product stock levels across all channels to prevent overselling flawlessly
- Shipment Tracking — Update order statuses and send tracking information back to marketplaces securely
- Returns Oversight — List and manage customer returns directly from your chat interface flawlessly
- Project Visibility — Access and monitor multiple projects and connected channels in real-time
- Commerce Intelligence — Retrieve detailed order metadata and project summaries directly within your workspace
The Channable MCP Server exposes 8 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Channable to OpenAI Agents SDK via MCP
Follow these steps to integrate the Channable MCP Server with OpenAI Agents SDK.
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 8 tools from Channable
Why Use OpenAI Agents SDK with the Channable MCP Server
OpenAI Agents SDK provides unique advantages when paired with Channable 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
Channable + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Channable MCP Server delivers measurable value.
Automated workflows: build agents that query Channable, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Channable, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Channable tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Channable to resolve tickets, look up records, and update statuses without human intervention
Channable MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect Channable to OpenAI Agents SDK via MCP:
get_order_details
Get detailed information for a specific order
get_project_summary
Get summary details for a specific project
list_channable_projects
List all projects for the company
list_connected_channels
List connected marketplace channels for a project
list_customer_returns
List customer returns for a specific project
list_marketplace_orders
List orders from connected marketplaces for a project
list_order_shipments
List shipments and tracking info for a project
update_product_stock
Update stock levels for products in a project
Example Prompts for Channable in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Channable immediately.
"Show me the last 10 orders from all marketplaces."
"Update stock for SKU 'TSHIRT-L-RED' to 25 units in project 123."
"List all active channels for project 456."
Troubleshooting Channable MCP Server with OpenAI Agents SDK
Common issues when connecting Channable to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Channable + OpenAI Agents SDK FAQ
Common questions about integrating Channable MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
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?
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?
Connect Channable with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Channable to OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
