Rows MCP Server for Pydantic AIGive Pydantic AI instant access to 11 tools to Append Values To Table, Create Spreadsheet, Delete Spreadsheet, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Rows 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 Rows app connector for Pydantic AI 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 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 Rows "
"(11 tools)."
),
)
result = await agent.run(
"What tools are available in Rows?"
)
print(result.data)
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 Rows MCP Server
Connect your Rows.com account to any AI agent and take full control of your spreadsheet-based data orchestration and collaborative workflows through natural conversation. Rows provides a modern spreadsheet platform with built-in integrations, and this integration allows you to retrieve row metadata, update cell values, and perform complex data queries directly from your chat interface.
Pydantic AI validates every Rows tool response against typed schemas, catching data inconsistencies at build time. Connect 11 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
- Spreadsheet & Table Orchestration — List all managed spreadsheets and retrieve detailed metadata, including table structures programmatically.
- Data Value Intelligence — Access and monitor range values to retrieve real-time spreadsheet data directly from the AI interface.
- Cell Lifecycle Management — Update and append values to specific ranges to ensure your records are always synchronized via natural language.
- Folder & Organization Control — List and search through your folders to maintain a clear overview of your digital workspace.
- Operational Monitoring — Track system activity and manage spreadsheet metadata using simple AI commands to streamline your business workflows.
The Rows MCP Server exposes 11 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 11 Rows tools available for Pydantic AI
When Pydantic AI connects to Rows through Vinkius, your AI agent gets direct access to every tool listed below — spanning spreadsheets, data-queries, collaborative-data, 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 new rows to a table
Create a new spreadsheet
Delete a spreadsheet
Get details for a specific folder
Get detailed cell objects
g., A1:B5). Get values from a specific range
Get metadata for a spreadsheet
Get Rows workspace details
List workspace folders
List your Rows spreadsheets
Overwrite values in a range
Connect Rows to Pydantic AI via MCP
Follow these steps to wire Rows into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the Rows MCP Server
Pydantic AI provides unique advantages when paired with Rows 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 Rows integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Rows connection logic from agent behavior for testable, maintainable code
Rows + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Rows MCP Server delivers measurable value.
Type-safe data pipelines: query Rows with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Rows tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Rows and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Rows responses and write comprehensive agent tests
Example Prompts for Rows in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Rows immediately.
"List all spreadsheets in my Rows workspace."
"Show me all spreadsheets in my workspace and pull the latest data from the Sales Dashboard."
"Create a new spreadsheet called Q3 Planning and populate it with department budget data."
Troubleshooting Rows MCP Server with Pydantic AI
Common issues when connecting Rows to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiRows + Pydantic AI FAQ
Common questions about integrating Rows MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.