Claid AI MCP Server for LangChain 8 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Claid AI through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"claid-ai": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Claid AI, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Claid AI through native MCP adapters. Connect 8 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Claid AI MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 8 tools from Claid AI via MCP
Why Use LangChain with the Claid AI MCP Server
LangChain provides unique advantages when paired with Claid AI through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Claid AI MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Claid AI queries for multi-turn workflows
Claid AI + LangChain Use Cases
Practical scenarios where LangChain combined with the Claid AI MCP Server delivers measurable value.
RAG with live data: combine Claid AI tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Claid AI, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Claid AI tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Claid AI tool call, measure latency, and optimize your agent's performance
Claid AI MCP Tools for LangChain (8)
These 8 tools become available when you connect Claid AI to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Claid AI to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersClaid AI + LangChain FAQ
Common questions about integrating Claid AI MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.