Domo MCP Server for LangChainGive LangChain instant access to 6 tools to Add User To Group, Create Group, Create User, and more
GDPR Free for SubscribersLangChain is the leading Python framework for composable LLM applications. Connect Domo 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 for LangChain
The Domo MCP Server for LangChain is a standout in the Brain Trust category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport 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({
"domo": {
"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 Domo, 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 Domo MCP Server
Connect your Domo instance to any AI agent to streamline user administration and group management through natural language.
LangChain's ecosystem of 500+ components combines seamlessly with Domo through native MCP adapters. Connect 6 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
- User Administration — Create new users with specific roles (Admin, Privileged, Participant), update existing profiles, or remove users from the system.
- Group Management — Create organizational groups to manage access at scale.
- Membership Control — Seamlessly add or remove users from specific Domo groups to maintain security and collaboration standards.
The Domo MCP Server exposes 6 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 6 Domo tools available for LangChain
When LangChain connects to Domo through Vinkius, your AI agent gets direct access to every tool listed below — spanning user-administration, data-governance, analytics, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Add user to group on Domo
Add a user to a Domo group
Create group on Domo
Create a new Domo group
Create user on Domo
Optionally sends an invite email. Create a new Domo user
Delete user on Domo
Delete a Domo user
Remove user from group on Domo
Remove a user from a Domo group
Update user on Domo
Update an existing Domo user
Connect Domo to LangChain via MCP
Follow these steps to wire Domo into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Domo MCP Server
LangChain provides unique advantages when paired with Domo through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Domo 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 Domo queries for multi-turn workflows
Domo + LangChain Use Cases
Practical scenarios where LangChain combined with the Domo MCP Server delivers measurable value.
RAG with live data: combine Domo tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Domo, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Domo tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Domo tool call, measure latency, and optimize your agent's performance
Example Prompts for Domo in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Domo immediately.
"Create a new Domo user for Alice Smith (alice@company.com) as a 'Privileged' user."
"Update user ID 55021 to have the job title 'Senior Analyst' and location 'New York'."
"Add user 10293 to the 'Data Science' group (ID 9982)."
Troubleshooting Domo MCP Server with LangChain
Common issues when connecting Domo to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersDomo + LangChain FAQ
Common questions about integrating Domo 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?
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