Grid MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Check Api Health, Create New Operational Record, Get Authenticated User Profile, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Grid 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 Grid app connector for Pydantic AI is a standout in the Erp Operations 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
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 Grid "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in Grid?"
)
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 Grid MCP Server
Connect your WorkOnGrid account to any AI agent and take full control of your field operations and operational data management through natural conversation.
Pydantic AI validates every Grid 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
- Worksheet Orchestration — List all operational worksheets and retrieve detailed technical metadata and structures programmatically
- Field Data Capture — Create, update, and search for records within your worksheets to track inspections, asset status, and team productivity
- Operational Visibility — Monitor analytical dashboards and manage team member access to maintain high-fidelity oversight of your workflows
- Asset Tracking — List and manage supported asset types to ensure precise inventory management and field record accuracy
- System Monitoring — Check API health and manage outbound webhooks directly through your agent for reliable operational automation
The Grid 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 Grid tools available for Pydantic AI
When Pydantic AI connects to Grid through Vinkius, your AI agent gets direct access to every tool listed below — spanning field-operations, data-digitization, worksheet-management, 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.
Verify Grid API connectivity
g., a new inspection report) into a specific worksheet. Add a new record to a worksheet
Get authenticated user info
Get details for a specific worksheet
List active webhooks
List available dashboards
List all operational worksheets
List common asset categories
List organization users
List records from a worksheet
Delete a record from a worksheet
Modify an existing operational record
Connect Grid to Pydantic AI via MCP
Follow these steps to wire Grid 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 Grid MCP Server
Pydantic AI provides unique advantages when paired with Grid 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 Grid integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Grid connection logic from agent behavior for testable, maintainable code
Grid + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Grid MCP Server delivers measurable value.
Type-safe data pipelines: query Grid with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Grid tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Grid and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Grid responses and write comprehensive agent tests
Example Prompts for Grid in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Grid immediately.
"List all active worksheets in my Grid account."
"Add a maintenance record to 'ws_456' for 'Excavator EX01'."
"Show me the latest dashboard status for field operations."
Troubleshooting Grid MCP Server with Pydantic AI
Common issues when connecting Grid to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiGrid + Pydantic AI FAQ
Common questions about integrating Grid 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.