How to Use the HigherGov MCP in Mastra AI

Q: How do I configure Mastra AI to use HigherGov?

Install @mastra/mcp. Initialize the MCPClient with the HigherGov server URL, call listTools(), and spread them into your Mastra Agent's tool array.

Q: Can Mastra AI retry failed HigherGov searches?

Yes. If a searchbyid call times out, Mastra automatically retries based on your configured backoff settings. You don't write custom error handling.

Q: How do I chain HigherGov MCP Server tools in a Mastra AI workflow?

You set up sequential steps. Step one calls listagencies to get an agency ID. Step two takes that ID and feeds it into getagency to pull the budget data.

Q: Does the HigherGov MCP Server require manual tool approval?

You can enforce it. Mastra supports requireToolApproval. If your agent decides to pull 500 documents via getdocuments, you can force a manual check before it executes the loop.

Q: How does Mastra AI handle data privacy with HigherGov?

The system reads public solicitation details from getopportunity and federal grant amounts from getgrant. Vinkius hosts the server in a zero-trust environment. The execution environment spins up just for your workflow step and destroys itself immediately after the data returns.

Build resilient GovCon proposal workflows using Mastra AI and the HigherGov MCP Server.

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Connect HigherGov MCP to Mastra AI

Create your Vinkius account to connect HigherGov 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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Setup HigherGov with Mastra AI

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Build resilient contract tracking workflows

`list_opportunities` forms the start of your daily pipeline scan. Mastra AI triggers this tool every morning to pull new federal solicitations matching your criteria. If the fetch fails due to a network timeout, Mastra's built-in exponential backoff retries the call automatically. You route the successful results into conditional branches. If an opportunity exceeds a specific dollar threshold, the workflow calls `get_documents` to download the RFP files. If it falls below the threshold, the system logs it and stops.

Automate competitor analysis with Mastra AI

`get_awardee` pulls the past performance data of incumbent vendors on recompete bids. Your agent takes an opportunity ID, identifies the current contract holder, and fetches their federal win history. You define the exact steps in a Mastra AI workflow. If the incumbent has a strong track record, you trigger `list_contracts` to map out their other active vehicles. The framework handles the sequence, ensuring step two only fires after step one returns valid JSON. You build a machine that maps out competitor footprints while you sleep.

Track grant funding pipelines

`list_grants` retrieves active federal funding awards across specific sectors. Your workflow grabs these records and passes the IDs to `get_grant` for the deep dive. You pull the exact obligation amounts and period of performance dates. Mastra lets you wrap these calls in human-in-the-loop approvals. Before the agent generates a summary report of the top 50 grants, it pauses. You review the selected IDs, approve the batch, and the workflow resumes to format the final output.

Setup guide

Set up HigherGov 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

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

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All HigherGov tools become native Mastra tools.
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: "highergov-mcp-client",
  servers: {
    "highergov-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent HigherGov transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by HigherGov. 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 HigherGov MCP in Mastra AI

Install `@mastra/mcp`. Initialize the `MCPClient` with the HigherGov server URL, call `listTools()`, and spread them into your Mastra Agent's tool array.

Yes. If a `search_by_id` call times out, Mastra automatically retries based on your configured backoff settings. You don't write custom error handling.

You set up sequential steps. Step one calls `list_agencies` to get an agency ID. Step two takes that ID and feeds it into `get_agency` to pull the budget data.

You can enforce it. Mastra supports `requireToolApproval`. If your agent decides to pull 500 documents via `get_documents`, you can force a manual check before it executes the loop.

The system reads public solicitation details from `get_opportunity` and federal grant amounts from `get_grant`. Vinkius hosts the server in a zero-trust environment. The execution environment spins up just for your workflow step and destroys itself immediately after the data returns.

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