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

Q: How do I set up the NASA TechPort (Technology Projects) MCP Server in Pydantic AI?

Install the framework with pip install "pydantic-ai-slimmcp" and initialize MCPToolset with your Vinkius HTTP endpoint. Pass the toolset directly to your agent's toolsets parameter to start querying getproject safely.

Q: How do I find projects that have been updated recently?

Your agent can call listprojects and pass the mandatory updatedSince query parameter to retrieve only the technology records that have changed since your last sync.

Build type-safe Python agents that validate NASA's aerospace projects and funding data at runtime using Pydantic AI.

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Connect NASA TechPort (Technology Projects) MCP to Pydantic AI

Create your Vinkius account to connect NASA TechPort (Technology Projects) 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.

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Setup NASA TechPort (Technology Projects) with Pydantic AI

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Validate NASA aerospace data at runtime with Pydantic AI

This MCP server enforces strict type safety on every NASA R&D record your Python agent processes. When your agent calls `get_project` or `list_projects`, the framework validates the incoming JSON against strict schemas, instantly catching missing fields or unexpected types. If NASA's public API returns an unexpected data structure, your agent fails loudly before bad data can corrupt your local database. This type-safe approach prevents silent failures when tracking mission-critical aerospace projects.

Enforce strict schemas on complex R&D taxonomies

The NASA TechPort (Technology Projects) MCP Server provides deep taxonomic trees that Pydantic AI validates at the model level. Your agent can query `get_taxonomy_tree` or `list_taxonomy_nodes` and map the results directly to type-safe Python classes. You can use `predict_trex` or `predict_drex` to classify commercial technologies, knowing that the recommended taxonomy nodes are validated against the official `get_schema` definitions before your code executes them.

Parse government funding opportunities without silent errors

Your agent tracks federal grants safely by running all procurement tools through Pydantic AI's type-validation engine. Tools like `list_opportunities` and `get_opportunity` return structured data that your code can rely on for automated reporting. Even complex financial values from `get_max_funding_amount` are cast to exact Python types, eliminating rounding errors. This level of correctness is vital when you are building automated pipelines to bid on federal aerospace contracts.

Setup guide

Set up NASA TechPort (Technology Projects) 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 deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with 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 call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "nasa-techport-technology-projects-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to NASA TechPort (Technology Projects) tools.",
)

result = await agent.run("List recent NASA TechPort (Technology Projects) transactions")
print(result.output)

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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 Pydantic AI

Install the framework with `pip install "pydantic-ai-slim[mcp]"` and initialize `MCPToolset` with your Vinkius HTTP endpoint. Pass the toolset directly to your agent's `toolsets` parameter to start querying `get_project` safely.

The framework raises a validation error immediately at runtime, preventing your agent from processing corrupt or incomplete project data. This ensures your downstream databases remain clean.

Yes. The framework is model-agnostic, meaning you can connect your validated NASA toolset to local models, Anthropic, OpenAI, or Gemini depending on your project's security requirements.

Your agent can call `list_projects` and pass the mandatory `updatedSince` query parameter to retrieve only the technology records that have changed since your last sync.

The server runs in a secure, ephemeral V8 isolate that handles authentication tokens out-of-band. Because it only reads public NASA project portfolios, taxonomy trees, and grant opportunities, your local agent's proprietary prompts and system instructions never touch external servers.

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