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How to Use the FCC Geo MCP in Mastra AI

Run FCC Geo coordinate lookups inside Mastra AI workflows with automatic retries and zero authentication overhead.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

Connect FCC Geo MCP to Mastra AI

Create your Vinkius account to connect FCC Geo 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.

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Resolve Census blocks in Mastra AI workflows

`get_census_block_by_lat_lon` integrates directly into Mastra AI agents to resolve FIPS codes during multi-step background tasks. When an agent receives coordinates, it triggers this tool to map the location to its exact US Census Block and County. You can chain this tool inside a Mastra workflow to trigger downstream actions based on the returned county. For instance, if the FIPS code matches a specific regulatory region, the workflow branches to notify the correct local field engineer.

Automate telecom zone checks with Mastra agents

`get_fcc_areas_by_lat_lon` allows Mastra AI agents to determine regional licensing boundaries like PEAs and CMAs automatically. If the public FCC API experiences high latency, Mastra's workflow engine uses exponential backoff to retry the coordinate lookup. This ensures your automated licensing checks do not fail due to temporary network hiccups. The agent handles the coordinate query, catches any transport errors, and outputs the validated telecom boundaries to your database.

Deploy FCC Geo lookups with human-in-the-loop approval

You configure `get_census_block_by_lat_lon` and `get_fcc_areas_by_lat_lon` with Mastra's `requireToolApproval` setting to prevent unauthorized queries. This ensures your agent pauses and requests developer confirmation before fetching regulatory data for sensitive coordinates. By routing these tools through a single Mastra MCP client, you manage access control at the workflow level. Your deployed agent runs securely on any cloud platform while maintaining strict boundaries around coordinate resolution.

Setup guide

Set up FCC Geo MCP in Mastra AI

Prerequisites

  • Node.js 18+ and a TypeScript project
  • @mastra/mcp + @mastra/core packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Configure the MCPClient

    Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All FCC Geo tools become native Mastra tools.

  4. 4

    Run with any model

    Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "fcc-geo-mcp-client",
  servers: {
    "fcc-geo-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "FCC Geo Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to FCC Geo tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent FCC Geo 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 FCC Geo. 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 FCC Geo MCP in Mastra AI

Install `@mastra/mcp@latest` and instantiate a new `MCPClient` pointing to your Vinkius server URL. Call `mcpClient.listTools()` and spread the resulting tools directly into your Mastra AI agent configuration. This exposes `get_census_block_by_lat_lon` and `get_fcc_areas_by_lat_lon` to the agent's execution context.
Yes, you can use Mastra AI workflows to branch execution based on the FIPS codes returned by `get_census_block_by_lat_lon`. For example, your workflow can check the county FIPS and route the process to a different agent if the coordinate falls within a specific telecom licensing zone.
Mastra AI manages rate limiting by wrapping `get_fcc_areas_by_lat_lon` calls in its built-in retry engine. If the public endpoints throttle your coordinate lookups, the client automatically backs off and retries the request. This keeps your automated telecom zoning workflows running without manual intervention.
No, both tools operate completely keyless. You can query `get_fcc_areas_by_lat_lon` directly through the server, as Vinkius manages the underlying transport and connectivity to the public FCC data endpoints without exposing you to authentication overhead.
Your latitude and longitude coordinate inputs are processed strictly in memory on an ephemeral Vinkius V8 Isolate. The MCP Server does not persist your coordinates or log the lookups. Once the FCC API returns the census block or telecom boundary, the coordinate data is permanently deleted from execution memory.

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