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 Pydantic AI 6 tools — connect in under 2 minutes

Name: Smartsheet
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 6 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Smartsheet through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Smartsheet "
            "(6 tools)."
        ),
    )

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

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.

Pydantic AI validates every Smartsheet tool response against typed schemas, catching data inconsistencies at build time. Connect 6 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Smartsheet MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

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 with type-safe schemas

Why Use Pydantic AI with the Smartsheet MCP Server

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Smartsheet integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Smartsheet connection logic from agent behavior for testable, maintainable code

Smartsheet + Pydantic AI Use Cases

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

Type-safe data pipelines: query Smartsheet with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Smartsheet tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Smartsheet and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Smartsheet responses and write comprehensive agent tests

Smartsheet MCP Tools for Pydantic AI (6)

These 6 tools become available when you connect Smartsheet to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Smartsheet + Pydantic AI FAQ

Common questions about integrating Smartsheet MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your Smartsheet MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.