Claid AI MCP Server for AutoGen 8 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Claid AI as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="claid_ai_agent",
tools=tools,
system_message=(
"You help users with Claid AI. "
"8 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Claid AI tools. Connect 8 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Claid AI MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 8 tools from Claid AI automatically
Why Use AutoGen with the Claid AI MCP Server
AutoGen provides unique advantages when paired with Claid AI through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Claid AI tools to solve complex tasks
Role-based architecture lets you assign Claid AI tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Claid AI tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Claid AI tool responses in an isolated environment
Claid AI + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Claid AI MCP Server delivers measurable value.
Collaborative analysis: one agent queries Claid AI while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Claid AI, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Claid AI data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Claid AI responses in a sandboxed execution environment
Claid AI MCP Tools for AutoGen (8)
These 8 tools become available when you connect Claid AI to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Claid AI to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Claid AI + AutoGen FAQ
Common questions about integrating Claid AI MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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 AutoGen
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.