How to Use the ArcGIS Alternative MCP in Pydantic AI
Enforce strict runtime validation for GIS data using Pydantic AI and this MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect ArcGIS Alternative MCP to Pydantic AI
Create your Vinkius account to connect ArcGIS Alternative to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Validate coordinate data with Pydantic AI
The `geocode_address` tool transforms messy string inputs into structured longitude and latitude pairs with confidence scores. Because your framework validates every response against strict Pydantic models, a missing coordinate field triggers an immediate, loud error instead of silently corrupting your database. Once the location is verified, `search_places` finds nearby amenities like hotels or restaurants within a defined radius. You get back a clean list of names, distances, and categories that perfectly match your predefined schemas, regardless of whether you run OpenAI or a local model.
Calculate exact routes and terrain changes
Feeding semicolon-separated coordinates into the `get_route` tool generates turn-by-turn directions, total distances, and travel times. Your agent can request specific travel modes like trucking or walking, and the framework ensures the returned geometry string is properly formatted before saving it. Terrain analysis relies on `get_elevation` to pull altitude metrics in meters for specific coordinate pairs. If the API returns a string instead of a float for the elevation value, Pydantic AI stops the execution cold, preventing math errors downstream in your application.
Translate raw GPS pings into street names
Your system can pass raw device coordinates to the `reverse_geocode` tool and get back the nearest physical address and place name. Fleet management tools rely on this exact output to map vehicle locations to actual streets without hallucinating nonexistent intersections. For rendering the final output, `get_basemap_styles` provides valid style IDs and thumbnail URLs for your frontend maps. The unified `MCPToolset` setup connects to the external server via Streamable HTTP, guaranteeing that your agent always has access to the latest map layers.
Set up ArcGIS Alternative MCP in Pydantic AI
Prerequisites
- Python 3.10+ installed
-
pydantic-ai-slim[fastmcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install Pydantic AI with FastMCP
Run
pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith your Vinkius URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports. - 3
Create and run your agent
Pass the toolset to
Agent(toolsets=[toolset])and callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"arcgis-alternative-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to ArcGIS Alternative tools.",
)
result = await agent.run("List recent ArcGIS Alternative transactions")
print(result.output) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ArcGIS. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about ArcGIS Alternative MCP in Pydantic AI
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