3,400+ MCP servers ready to use
Vinkius

Smartsheet MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Add Sheet Rows, Get My Profile, Get Sheet Details, and more

Built by Vinkius GDPR 12 Tools SDK

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

Ask AI about this App Connector for Pydantic AI

The Smartsheet app connector for Pydantic AI is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 "
            "(12 tools)."
        ),
    )

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

asyncio.run(main())
Smartsheet
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 to automate your enterprise work management and collaboration orchestration. Smartsheet provides a powerful platform for tracking projects and data, and this integration allows you to retrieve sheet metadata, manage rows, and search through workspaces through natural conversation.

Pydantic AI validates every Smartsheet tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through 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

  • Sheet & Data Orchestration — List all managed sheets and retrieve detailed profile metadata, including columns and structural definitions programmatically.
  • Row Lifecycle Management — Add, update, and delete rows within your sheets with full control over cell data directly from the AI interface.
  • Workspace & Report Control — Access and monitor your workspaces and reports to maintain a clear overview of your projects via natural language.
  • Search & Discovery Intelligence — Search through specific sheets to quickly find the information you need and retrieve filtered data results.
  • Operational Monitoring — Access user profiles and monitor system health to ensure reliable data synchronization between Smartsheet and your AI workflows.

The Smartsheet MCP Server exposes 12 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.

All 12 Smartsheet tools available for Pydantic AI

When Pydantic AI connects to Smartsheet through Vinkius, your AI agent gets direct access to every tool listed below — spanning work-management, spreadsheet-automation, task-tracking, 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.

add_sheet_rows

Rows must be provided as a JSON array. Append new rows

get_my_profile

Get user info

get_sheet_details

Get sheet data

get_workspace_details

Get workspace info

list_available_reports

List filtered reports

list_platform_users

List company users

list_sheet_columns

List sheet fields

list_sheets

List Smartsheet sheets

list_workspaces

List project workspaces

remove_sheet_row

Delete a row

search_within_sheet

Find data in sheet

update_sheet_rows

Rows must be provided as a JSON array with IDs. Modify existing rows

Connect Smartsheet to Pydantic AI via MCP

Follow these steps to wire Smartsheet into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install Pydantic AI

Run pip install pydantic-ai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 12 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.

01

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

02

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

03

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

04

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.

01

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

02

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

03

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

04

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

Example Prompts for Smartsheet in Pydantic AI

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

01

"List all active sheets in my Smartsheet account."

02

"Show me all active project sheets with their task completion rates and upcoming deadlines."

03

"Create a new project sheet from the Agile Sprint template and add the engineering team as collaborators."

Troubleshooting Smartsheet MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Smartsheet + Pydantic AI FAQ

Common questions about integrating Smartsheet MCP Server with Pydantic AI.

01

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.
02

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.
03

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.