Onpipeline MCP Server for LlamaIndexGive LlamaIndex instant access to 11 tools to Create Crm Contact, Create Crm Deal, Create Crm Organization, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Onpipeline 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 App Connector for LlamaIndex
The Onpipeline app connector for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Onpipeline. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in Onpipeline?"
)
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 Onpipeline MCP Server
Connect your Onpipeline account to any AI agent and take full control of your sales orchestration and pipeline management through natural conversation. Onpipeline is a powerful and intuitive CRM designed for high-velocity sales teams, and this integration allows you to retrieve deal metadata, update customer records, and monitor organization history directly from your chat interface.
LlamaIndex agents combine Onpipeline tool responses with indexed documents for comprehensive, grounded answers. Connect 11 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
- Deal & Opportunity Orchestration — List all managed deals and retrieve detailed status metadata programmatically to ensure your sales pipeline is always synchronized.
- Contact & CRM Intelligence — Access and monitor your centralized database of persons and organizations directly from the AI interface to maintain high-fidelity customer profiles.
- Pipeline Discovery — Search through your sales stages and retrieve deal history via natural language to drive better forecasting efficiency.
- Lead Management Control — Create new deals, persons, and organization records using simple AI commands to reduce manual data entry.
- Operational Monitoring — Track system responses and manage organization-wide activity to ensure your sales workflows are always optimized.
The Onpipeline MCP Server exposes 11 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.
All 11 Onpipeline tools available for LlamaIndex
When LlamaIndex connects to Onpipeline through Vinkius, your AI agent gets direct access to every tool listed below — spanning onpipeline, sales-crm, pipeline-api, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a new contact
Create a new deal
Create a new organization
Get details for a specific contact
Get details for a specific deal
List all CRM activities
List CRM contacts (persons)
List all sales deals
List calendar events
List CRM organizations (companies)
List all sales pipelines
Connect Onpipeline to LlamaIndex via MCP
Follow these steps to wire Onpipeline into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the 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 Onpipeline MCP Server
LlamaIndex provides unique advantages when paired with Onpipeline through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Onpipeline tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Onpipeline tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Onpipeline, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Onpipeline tools were called, what data was returned, and how it influenced the final answer
Onpipeline + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Onpipeline MCP Server delivers measurable value.
Hybrid search: combine Onpipeline real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Onpipeline 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 Onpipeline for fresh data
Analytical workflows: chain Onpipeline queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Onpipeline in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Onpipeline immediately.
"List all my current deals in Onpipeline."
"Show me all sales pipelines and their current stage breakdown."
"Get the full details and activity history for deal ID d_4521."
Troubleshooting Onpipeline MCP Server with LlamaIndex
Common issues when connecting Onpipeline to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpOnpipeline + LlamaIndex FAQ
Common questions about integrating Onpipeline MCP Server with LlamaIndex.