How to Use the Mapflow MCP in Mastra AI
Build reliable geospatial workflows in Mastra AI with automatic retries and conditional logic for satellite analysis.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Mapflow MCP to Mastra AI
Create your Vinkius account to connect Mapflow to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Automated geospatial pipeline recovery
Mastra AI agents use `create_processing` to initiate extraction. If a job fails due to a network hiccup, the framework automatically retries the call with exponential backoff. This ensures your city-scale analysis doesn't stop because of a minor connection drop. You get a consistent flow of vector data even when the underlying infrastructure hits a snag.
Conditional branching for imagery analysis
Set up workflows that check `get_processing_status` before moving to the next step. If the status returns an error, the agent can pivot to a different model using `list_models`. You define the logic once. The agent handles the decision-making process based on the real-time feedback from the processing server.
Human-in-the-loop validation
Configure your agents to require approval before finalizing a job result with `get_processing_result`. This prevents bad geospatial data from entering your production GIS database. It adds a layer of safety to your automation. You review the output, click approve, and the workflow continues without manual intervention.
Set up Mapflow MCP in Mastra AI
Prerequisites
- Node.js 18+ and a TypeScript project
-
@mastra/mcp+@mastra/corepackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install @mastra/mcp @mastra/coreplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Configure the MCPClient
Create an
MCPClientwith your Vinkius endpoint as aURLobject. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and inject tools
Call
mcpClient.listTools()and spread the result into your agent'stoolsobject. All Mapflow tools become native Mastra tools. - 4
Run with any model
Swap
openai("gpt-4o")for any AI SDK-compatible provider. Callagent.generate()and the agent routes tool calls through MCP automatically.
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";
const mcpClient = new MCPClient({
id: "mapflow-mcp-client",
servers: {
"mapflow-mcp": {
url: new URL(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
),
},
},
});
const agent = new Agent({
name: "Mapflow Agent",
model: openai("gpt-4o"),
instructions: "You have access to Mapflow tools.",
tools: {
...(await mcpClient.listTools()),
},
});
const result = await agent.generate(
"List recent Mapflow transactions"
);
console.log(result.text); Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mapflow. 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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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
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place for every integration
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Common questions about Mapflow MCP in Mastra AI
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