Can the AI understand the raw tabular data of my spreadsheet?

Yes. When you call the `get_sheet_details` tool, the server returns the spreadsheet's metadata, including all column names, types (e.g., date, dropdown), and rows. The AI maps the internal IDs together to form a highly accurate contextual grid of your project.

Does my agent need to use a sheet ID?

No manual hunting needed! While the underlying tool does require a sheet ID, you can just tell your bot, 'Find our Onboarding Spreadsheet and read the rows'. The AI will first scan via `list_sheets`, match the textual name to the ID, and then naturally pull the targeted entity.

How do I list folders within a workspace?

Your AI agent will act autonomously. Ask it to 'check our Engineering workspace' and it will first fetch its workspace ID and intelligently map the nested sub-folders and sheets stored inside. You can instruct it to keep going deeper as needed.

Smartsheet MCP Server for LlamaIndex 6 tools — connect in under 2 minutes

Name: Smartsheet
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 6 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Smartsheet as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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 Smartsheet. "
            "You have 6 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Smartsheet?"
    )
    print(response)

asyncio.run(main())

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* 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 Smartsheet MCP Server

Connect your Smartsheet account to any AI agent and empower your team to query project configurations, internal spreadsheets, and custom reports seamlessly. Interact with your organization's grids through natural language without ever switching tabs.

LlamaIndex agents combine Smartsheet tool responses with indexed documents for comprehensive, grounded answers. Connect 6 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

Project Navigation — Easily map out your hierarchical structures calling list_workspaces and list_folders to find correct document locations
Sheet Deep-Dives — Browse all your active spreadsheets using list_sheets and extract raw rows/columns instantly via get_sheet_details
Reporting Overviews — Retrieve saved tabular aggregations automatically calling list_reports across all configured company sheets
Identity Profiling — Test the connectivity and query authorized scopes by requesting the internal get_current_user tool

The Smartsheet MCP Server exposes 6 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 Smartsheet to LlamaIndex via MCP

Follow these steps to integrate the Smartsheet 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 6 tools from Smartsheet

Why Use LlamaIndex with the Smartsheet MCP Server

LlamaIndex provides unique advantages when paired with Smartsheet through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Smartsheet tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Smartsheet tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Smartsheet, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Smartsheet tools were called, what data was returned, and how it influenced the final answer

Smartsheet + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Smartsheet MCP Server delivers measurable value.

Hybrid search: combine Smartsheet real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Smartsheet 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 Smartsheet for fresh data

Analytical workflows: chain Smartsheet queries with LlamaIndex's data connectors to build multi-source analytical reports

Smartsheet MCP Tools for LlamaIndex (6)

These 6 tools become available when you connect Smartsheet to LlamaIndex via MCP:

get_current_user

Retrieves information about the current Smartsheet user

get_sheet_details

Retrieves details for a specific sheet

list_folders

Lists all folders

list_reports

Lists all reports

list_sheets

Lists all sheets available in Smartsheet

list_workspaces

Lists all workspaces in Smartsheet

Example Prompts for Smartsheet in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Smartsheet immediately.

"List all sheets available in my Smartsheet account."

"Retrieve the details and rows for the 'Release Candidate Tracker' sheet."

"Summarize all our workspaces in a markdown table."

Troubleshooting Smartsheet MCP Server with LlamaIndex

Common issues when connecting Smartsheet to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Smartsheet + LlamaIndex FAQ

Common questions about integrating Smartsheet MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Smartsheet tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.