How to Use the NASA TechPort (Technology Projects) MCP in Mastra AI

Q: How can I build a Mastra AI agent to find organizations working on specific tech within NASA TechPort (Technology Projects)?

Your agent's workflow would use the searchorganizations tool with specific keywords. Mastra AI's engine can handle pagination and retries automatically, collecting a complete list of relevant organizations for further analysis.

Q: Can my agent use conditional logic based on funding amounts?

Absolutely. The workflow can call getmaxfundingamount or parse the funding from getproject. Then, you can use Mastra AI's conditional branching to decide the next step, like 'if funding > $1M, then run detailed analysis'.

Q: What's the best way for a Mastra AI agent to explore the NASA TechPort (Technology Projects) taxonomy?

Start with listtaxonomies to get the root categories. Then, create a workflow that recursively calls listtaxonomynodes to map out the branches you care about. This builds a targeted map of NASA's R&D structure.

Q: How does this MCP Server help my Mastra AI agent export data from NASA TechPort (Technology Projects) for offline analysis?

Your workflow can use searchobjectalldata to gather comprehensive project or opportunity information. The final step in the workflow would be to call exportopportunities or format the collected data and send it to a database or storage bucket.

Build failure-proof agents that analyze NASA's R&D portfolio. Mastra AI handles retries and complex logic, so your workflows just run.

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Connect NASA TechPort (Technology Projects) MCP to Mastra AI

Create your Vinkius account to connect NASA TechPort (Technology Projects) 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 NASA TechPort (Technology Projects) with Mastra AI

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Automate Grant Monitoring Workflows

Build a Mastra AI workflow that runs on a schedule, calls `list_opportunities`, and checks for new grants matching your criteria. Mastra's engine handles the `search_opportunities` call, and its built-in retry logic means a temporary NASA API glitch won't kill your process. It just works. If a new opportunity is found, you can chain another step to call `get_opportunity` for details, then use a different tool to send a notification to your team. This entire sequence is a single, deployable workflow.

Chain Complex R&D Analysis with Mastra AI

Don't just fetch data; analyze it. Your Mastra agent can first call `get_taxonomy_tree` to get the lay of the land. Then, it can conditionally loop through specific nodes, calling `list_projects` for each one to find the most active research areas. If a project looks interesting, the workflow can automatically branch: call `get_project` for deep details and `list_contacts` to identify key personnel. Mastra's state management keeps track of everything, so you can build analyses that would be a nightmare to script by hand.

Maintain Data Integrity with API Schemas

Your agent can use the `get_api_spec` or `get_schema` tools to check the data structure of NASA's API before making a call. This is crucial for long-running, autonomous workflows that need to adapt to upstream API changes. Mastra AI can use this schema information to validate responses. If NASA changes a field in the `get_organization` response, your workflow can flag the change and notify an admin instead of just failing silently. It's about building resilient systems.

Setup guide

Set up NASA TechPort (Technology Projects) 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 NASA TechPort (Technology Projects) 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: "nasa-techport-technology-projects-mcp-client",
  servers: {
    "nasa-techport-technology-projects-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent NASA TechPort (Technology Projects) 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 NASA TechPort. 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 NASA TechPort (Technology Projects) MCP in Mastra AI

Your agent's workflow would use the `search_organizations` tool with specific keywords. Mastra AI's engine can handle pagination and retries automatically, collecting a complete list of relevant organizations for further analysis.

Absolutely. The workflow can call `get_max_funding_amount` or parse the funding from `get_project`. Then, you can use Mastra AI's conditional branching to decide the next step, like 'if funding > $1M, then run detailed analysis'.

Start with `list_taxonomies` to get the root categories. Then, create a workflow that recursively calls `list_taxonomy_nodes` to map out the branches you care about. This builds a targeted map of NASA's R&D structure.

Your workflow can use `search_object_all_data` to gather comprehensive project or opportunity information. The final step in the workflow would be to call `export_opportunities` or format the collected data and send it to a database or storage bucket.

The server processes public NASA TechPort data like project abstracts, program names, and contact roles. Mastra AI connects via a Vinkius URL which uses a single token for authentication. Each tool call is executed in a dedicated, memory-safe sandbox that is destroyed after the request.

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