How to Use the Dog CEO MCP in LangChain

Q: Can I trace Dog CEO image requests in LangSmith with LangChain?

Yes, every call to getdogbybreed or getrandomdogimage shows up in your LangSmith dashboard. You see the exact input parameters, response times, and output URLs.

Q: How does LangChain handle nested breeds from the Dog CEO API?

The listdogbreeds tool returns a structured dictionary of breeds and sub-breeds. Your LangChain agent parses this JSON directly to find specific sub-breeds before requesting images.

Chain dog breed intelligence and image fetching directly into your LangChain agents with this MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Dog CEO MCP to LangChain

Create your Vinkius account to connect Dog CEO to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Dog CEO with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Chain breed queries using LangChain agents

The `list_dog_breeds` tool pulls the entire taxonomy of dog breeds into your active LangChain run. Your agent reads this list, selects a breed, and passes it to the next step in the chain without hardcoded logic. By feeding this output directly into your other tools, your agent builds dynamic pet-care workflows. You track the raw JSON payloads and tool execution paths in LangSmith to see exactly how the breed list feeds into your downstream tasks.

Trace breed image lookups in LangSmith

The `get_dog_by_breed` tool retrieves a random image URL for any specific breed your LangChain agent requests. This lets your agent resolve user queries about specific dogs by looking up the correct breed first and then pulling the image. LangSmith tracks the exact latency of these API calls so you can monitor performance issues. The agent decides when to trigger the lookup based on the user's intent, making your chains highly responsive to conversational cues.

Resolve random images via MultiServerMCPClient

The `get_random_dog_image` tool pulls a random dog image URL into your LangChain multi-server setup. You combine this server with other endpoints under a single client to build mixed-domain agents. Your agent routes queries to this tool when users ask for visual inspiration. Because the MCP client handles transport details, your LangChain code stays focused on managing the prompt templates and chain state.

Setup guide

Set up Dog CEO MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Dog CEO tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "dog-ceo-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent Dog CEO transactions"
    })
    print(result["messages"][-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Dog CEO. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Dog CEO now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Dog CEO MCP in LangChain

Install the mcp adapters, import MultiServerMCPClient, and pass the endpoint. Call get_tools to load get_dog_by_breed and the other tools directly into your agent constructor.

Yes, every call to get_dog_by_breed or get_random_dog_image shows up in your LangSmith dashboard. You see the exact input parameters, response times, and output URLs.

The list_dog_breeds tool returns a structured dictionary of breeds and sub-breeds. Your LangChain agent parses this JSON directly to find specific sub-breeds before requesting images.

Yes. You register the dog tools alongside your database tools in LangChain. The agent uses list_dog_breeds to verify a breed before querying your local database for inventory.

This MCP server only processes the breed names you request and returns public dog image URLs. It never accesses your LangChain prompt history or proprietary training data, keeping your operational logs private.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript