Domo MCP Server for LlamaIndexGive LlamaIndex instant access to 6 tools to Add User To Group, Create Group, Create User, and more
GDPR Free for SubscribersLlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Domo as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this MCP Server for LlamaIndex
The Domo MCP Server for LlamaIndex 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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Domo. "
"You have 6 tools available."
),
)
response = await agent.run(
"What tools are available in Domo?"
)
print(response)
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.
LlamaIndex agents combine Domo tool responses with indexed documents for comprehensive, grounded answers. Connect 6 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex
When LlamaIndex 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 LlamaIndex via MCP
Follow these steps to wire Domo into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Domo MCP Server
LlamaIndex provides unique advantages when paired with Domo through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Domo tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Domo tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Domo, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Domo tools were called, what data was returned, and how it influenced the final answer
Domo + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Domo MCP Server delivers measurable value.
Hybrid search: combine Domo real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Domo to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Domo for fresh data
Analytical workflows: chain Domo queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Domo in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Domo to LlamaIndex through Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDomo + LlamaIndex FAQ
Common questions about integrating Domo MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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