ArcGIS MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect ArcGIS through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 ArcGIS "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in ArcGIS?"
)
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 ArcGIS MCP Server
Connect your ArcGIS account to any AI agent and take full control of your location and spatial intelligence through natural conversation.
Pydantic AI validates every ArcGIS tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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
- Geocoding & Reverse Geocoding — Convert street addresses to coordinates instantly or discover the closest address to a specific longitude/latitude pair
- Batch Geocoding — Process bulk batches of up to 1000 geographical addresses in a single AI operation
- Route Solving — Calculate the optimal route between multiple stops, complete with turn-by-turn directions, travel time, and precise distances
- Vehicle Routing — Solve complex Vehicle Routing Problems (VRP) to optimize fleets and logistics deliveries
- Service Area Analysis — Calculate drive-time, walk-time, or travel-distance polygons reachable from a specific facility
- Origin-Destination Matrices — Compute travel constraints and cost matrices between multiple origins and tracking destinations
The ArcGIS MCP Server exposes 10 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 ArcGIS to Pydantic AI via MCP
Follow these steps to integrate the ArcGIS 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 10 tools from ArcGIS with type-safe schemas
Why Use Pydantic AI with the ArcGIS MCP Server
Pydantic AI provides unique advantages when paired with ArcGIS 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 ArcGIS integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your ArcGIS connection logic from agent behavior for testable, maintainable code
ArcGIS + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the ArcGIS MCP Server delivers measurable value.
Type-safe data pipelines: query ArcGIS with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple ArcGIS tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query ArcGIS and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock ArcGIS responses and write comprehensive agent tests
ArcGIS MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect ArcGIS to Pydantic AI via MCP:
batch_geocode_addresses
Addresses must be provided as an ArcGIS-compatible JSON array string. Geocode a bulk batch of up to 1000 addresses
calculate_od_matrix
Calculate travel time and distances between multiple origins and destinations
calculate_service_area
Facilities specified as lon,lat. Calculate drive-time, walk-time, or travel-distance service areas
find_address_candidates
Use this to turn text addresses into latitude and longitude. Find an address or place using ArcGIS Geocoding
find_address_country
g., USA, BRA, FRA). Ensures results are geographically bounded. Find an address filtered by a specific country
reverse_geocode
Coordinate format must be lon,lat (e.g. -117.19,34.05). Discover the closest address to a specific location (lon,lat)
solve_nav_route
Point sequence must be provided as lon,lat;lon,lat. Returns detailed turn-by-turn directions, travel time, and distance. Find the best route between two or more locations
solve_vehicle_routing
Takes an ArcGIS Orders JSON mapping string detailing the stops. Solve a Vehicle Routing Problem (VRP) for a fleet
suggest_geocoding
Use this to help users select valid addresses before performing a full geocode request. Get autocomplete suggestions for partial addresses or place names
suggest_location_bias
Get autocomplete suggestions biased towards a specific location
Example Prompts for ArcGIS in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with ArcGIS immediately.
"What is the closest address to coordinates -117.19, 34.05?"
"Find the optimal driving route visiting stops -122.4,37.7 and -122.5,37.8."
"Resolve the coordinate location for 'Central Park' but restrict the search strictly to the USA."
Troubleshooting ArcGIS MCP Server with Pydantic AI
Common issues when connecting ArcGIS to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiArcGIS + Pydantic AI FAQ
Common questions about integrating ArcGIS 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.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect ArcGIS with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect ArcGIS to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.