Claid AI 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 Claid AI 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="Claid AI Assistant",
instructions=(
"You help users interact with Claid AI. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Claid AI"
)
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 Claid AI MCP Server
Connect your Claid AI account to any AI agent and take full control of your image enhancement workflows through natural conversation. Transform basic product shots into professional photography instantly.
The OpenAI Agents SDK auto-discovers all 8 tools from Claid AI through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Claid AI, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- AI Enhancement — Apply multiple enhancements like HDR adjustment, white balance, and polishing natively
- Resolution Upscaling — Increase image dimensions using specialized AI models for photos and digital art flawlessly
- Background Logistics — Remove or replace backgrounds with white or custom scenes securely
- Task Oversight — Monitor the status of async processing tasks and retrieve results flawlessly
- Canvas Control — Resize images to specific dimensions with intelligent fit/fill logic flawlessly
- Account Visibility — Retrieve core account information and monitor your AI usage quotas directly within your workspace
The Claid AI 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 Claid AI to OpenAI Agents SDK via MCP
Follow these steps to integrate the Claid AI 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 Claid AI
Why Use OpenAI Agents SDK with the Claid AI MCP Server
OpenAI Agents SDK provides unique advantages when paired with Claid AI 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
Claid AI + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Claid AI MCP Server delivers measurable value.
Automated workflows: build agents that query Claid AI, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Claid AI, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Claid AI tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Claid AI to resolve tickets, look up records, and update statuses without human intervention
Claid AI MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect Claid AI to OpenAI Agents SDK via MCP:
enhance_image
You can combine multiple operations like upscale, background removal, and HDR adjustment. Apply AI enhancements and edits to an image
get_claid_account_info
Retrieve core account and quota information
get_processing_task_details
Get the status and result of an async image processing task
list_available_ai_operations
List common AI operations supported by the Claid API
list_claid_collections
List image collections in your account
list_claid_webhooks
List configured webhooks for async notifications
remove_image_background
Quickly remove or replace the background of an image
upscale_image_resolution
Increase image resolution using AI models
Example Prompts for Claid AI in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Claid AI immediately.
"Upscale this product photo to high resolution: https://example.com/shoe.jpg"
"Remove the background from this image: https://example.com/model.jpg"
"What is the status of processing task 'task_98765'?"
Troubleshooting Claid AI MCP Server with OpenAI Agents SDK
Common issues when connecting Claid AI to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Claid AI + OpenAI Agents SDK FAQ
Common questions about integrating Claid AI 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 Claid AI 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 Claid AI to OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.