DealHub CPQ MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add DealHub CPQ as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import 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 DealHub CPQ. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in DealHub CPQ?"
)
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 DealHub CPQ MCP Server
Connect your DealHub account to any AI agent and take full control of your CPQ (Configure, Price, Quote) and sales workflows through natural conversation.
LlamaIndex agents combine DealHub CPQ tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the 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
- Quote Orchestration — Identify bounded CRM records and generate fresh CPQ sequences linked natively to your Salesforce or HubSpot blocks
- Live Playbook Access — Perform structural extraction of quote properties and retrieve secure tokenized URLs to drop users deeply into the Playbook editing flow
- Opportunity Tracking — List assigned ongoing deals and read specific synced custom fields mirroring your core CRM limits
- Deal Management — Provision highly-available deal shells and updateStage properties instantly across CPQ arrays
- Quote Status Auditing — Retrieve explicit cloud logs to parse if PDFs were viewed, signed, or rejected by customers in real-time
- CRM Synchronization — Force real-time data ingestion loops against SFDC or MS Dynamics providers to ensure absolute data consistency
The DealHub CPQ MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex 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 DealHub CPQ to LlamaIndex via MCP
Follow these steps to integrate the DealHub CPQ MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from DealHub CPQ
Why Use LlamaIndex with the DealHub CPQ MCP Server
LlamaIndex provides unique advantages when paired with DealHub CPQ through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine DealHub CPQ tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain DealHub CPQ tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query DealHub CPQ, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what DealHub CPQ tools were called, what data was returned, and how it influenced the final answer
DealHub CPQ + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the DealHub CPQ MCP Server delivers measurable value.
Hybrid search: combine DealHub CPQ real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query DealHub CPQ 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 DealHub CPQ for fresh data
Analytical workflows: chain DealHub CPQ queries with LlamaIndex's data connectors to build multi-source analytical reports
DealHub CPQ MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect DealHub CPQ to LlamaIndex via MCP:
create_opportunity
Provision a highly-available JSON Payload generating hard Customer bindings
create_quote
1/quote/create` generating a fresh CPQ sequence linked to a native CRM block. Identify bounded CRM records inside the Headless DealHub Platform
get_opportunity
Dispatch an automated validation check routing explicit Gateway history
get_quote_status
Retrieve explicit Cloud logging tracing explicit Vault limits
list_opportunities
Enumerate explicitly attached structured rules exporting active Billing
list_quotes
Identify precise active arrays spanning native Gateway auth
list_users
Identify precise active arrays spanning native Hold parsing
open_quote
Perform structural extraction of properties driving active Account logic
sync_crm
Irreversibly vaporize explicit validations extracting rich Churn flags
update_opportunity
Inspect deep internal arrays mitigating specific Plan Math
Example Prompts for DealHub CPQ in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with DealHub CPQ immediately.
"Create a new quote for opportunity 'opp_abc123' and customer 'Acme Corp'"
"What is the status of quote 'dh_quote_789'?"
"Sync opportunity 'opp_123' with Salesforce"
Troubleshooting DealHub CPQ MCP Server with LlamaIndex
Common issues when connecting DealHub CPQ to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDealHub CPQ + LlamaIndex FAQ
Common questions about integrating DealHub CPQ 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?
Connect DealHub CPQ with your favorite client
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Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect DealHub CPQ to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.