Can I update stock for multiple products at once?

Yes! Use the `update_product_stock` tool. You can provide an array of SKU IDs and their new stock levels, and the agent will sync them across Channable.

How do I see orders from a specific marketplace like Amazon?

Use the `list_marketplace_orders` tool with your project ID. The agent will return all recent orders, and you can see the originating channel (e.g., Amazon, eBay) for each.

Where do I find my Channable API Token?

Log in to Channable, go to 'Company Settings' in the sidebar, and then select 'Channable API'. You can generate and copy your token from there.

Channable MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: Channable
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Channable through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Channable "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Channable?"
    )
    print(result.data)

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 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.

Pydantic AI validates every Channable tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Channable MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 8 tools from Channable with type-safe schemas

Why Use Pydantic AI with the Channable MCP Server

Pydantic AI provides unique advantages when paired with Channable through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Channable integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Channable connection logic from agent behavior for testable, maintainable code

Channable + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Channable MCP Server delivers measurable value.

Type-safe data pipelines: query Channable with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Channable tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Channable and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Channable responses and write comprehensive agent tests

Channable MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect Channable to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting Channable to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Channable + Pydantic AI FAQ

Common questions about integrating Channable MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Channable MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.