How to Use the SuiteDash MCP in LlamaIndex

Q: How do I use SuiteDash and LlamaIndex to track company details?

You index the output from listcompanies and getcompanydetails. This allows you to query historical records about corporate entities, making past data searchable for your RAG application.

Q: Does LlamaIndex help with task management in SuiteDash?

Yes. By indexing the results of listtasks and getschemametadata, you can ask specific questions about task requirements or field definitions, turning raw data into usable knowledge.

Q: What financial data types are available with SuiteDash and LlamaIndex?

You can index the details from both listinvoices and listdeals. This lets you build a unified knowledge base covering billing history and past sales potential.

Q: How does SuiteDash integrate with LlamaIndex for contacts?

You run listcontacts to capture the data, then index it. Your agent can then query this indexed contact information later to answer questions about specific individuals.

Build RAG applications grounded in SuiteDash data using LlamaIndex.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect SuiteDash MCP to LlamaIndex

Create your Vinkius account to connect SuiteDash to LlamaIndex 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 SuiteDash with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Search Past Deals and Contacts

Don't just look at the latest data. By indexing results from `list_deals` or `list_contacts`, you build a knowledge base of every past interaction. You can then query this index with natural language—for instance, 'What was the deal size for Acme Corp last year?' The LLM grounds its answer in your actual API data, eliminating hallucinations and keeping everything verifiable against SuiteDash records.

Query Historical Invoicing Records

Need to understand why a client paid what they did six months ago? Index the outputs of `list_invoices` and `get_company_details`. You can ask questions like, 'What services were billed in Q2?' and LlamaIndex will answer using those specific invoice records. This turns your entire financial history into a searchable knowledge source.

Retrieve Project Metadata by Natural Language

Instead of running `list_projects` and sifting through tables, you index the project metadata using `get_project_details`. You can then ask, 'What are the key deliverables for the North Star initiative?' and get a precise answer. This makes complex organizational data instantly accessible via semantic search.

Setup guide

Set up SuiteDash MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all SuiteDash MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to SuiteDash tools.",
)
response = await agent.run("List recent SuiteDash data")

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 SuiteDash. 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 SuiteDash 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 SuiteDash MCP in LlamaIndex

You index the output from `list_companies` and `get_company_details`. This allows you to query historical records about corporate entities, making past data searchable for your RAG application.

Yes. By indexing the results of `list_tasks` and `get_schema_metadata`, you can ask specific questions about task requirements or field definitions, turning raw data into usable knowledge.

You can index the details from both `list_invoices` and `list_deals`. This lets you build a unified knowledge base covering billing history and past sales potential.

You run `list_contacts` to capture the data, then index it. Your agent can then query this indexed contact information later to answer questions about specific individuals.

The system touches Contacts, Companies, Projects, Deals, Tasks, and Invoices. You can index any combination of these records for deep historical querying.

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