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NASA TechPort (Technology Projects) MCP Server for Pydantic AIGive Pydantic AI instant access to 29 tools to Export Opportunities, Get Api Spec, Get Enum, and more

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Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect NASA TechPort (Technology Projects) through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Ask AI about this MCP Server for Pydantic AI

The NASA TechPort (Technology Projects) MCP Server for Pydantic AI is a standout in the The Unthinkable category — giving your AI agent 29 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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python
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to NASA TechPort (Technology Projects) "
            "(29 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in NASA TechPort (Technology Projects)?"
    )
    print(result.data)

asyncio.run(main())
NASA TechPort (Technology Projects)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
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Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About NASA TechPort (Technology Projects) MCP Server

Connect to NASA TechPort to explore the agency's comprehensive resource for technology project data. This MCP server allows AI agents to navigate thousands of active and completed NASA research initiatives, providing deep insights into the future of aerospace and space exploration.

Pydantic AI validates every NASA TechPort (Technology Projects) tool response against typed schemas, catching data inconsistencies at build time. Connect 29 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

  • Project Discovery — List and fetch detailed metadata, descriptions, and status updates for specific NASA technology projects using list_projects and get_project.
  • Funding & Opportunities — Search for open funding opportunities, check maximum funding amounts, and export data for analysis using search_opportunities and export_opportunities.
  • Organizational Insights — Identify participating organizations, their types, and roles in various programs via list_organizations and search_organizations.
  • Taxonomy Navigation — Explore the NASA technology roadmap through structured taxonomy trees and nodes using get_taxonomy_tree.
  • Program Analysis — Retrieve detailed information about NASA programs and their associated technology portfolios with list_programs.

The NASA TechPort (Technology Projects) MCP Server exposes 29 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 29 NASA TechPort (Technology Projects) tools available for Pydantic AI

When Pydantic AI connects to NASA TechPort (Technology Projects) through Vinkius, your AI agent gets direct access to every tool listed below — spanning nasa, space-tech, r-and-d, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

export

Export opportunities on NASA TechPort (Technology Projects)

Export funding opportunities

get

Get api spec on NASA TechPort (Technology Projects)

Get the Swagger/OpenAPI specification for the API

get

Get enum on NASA TechPort (Technology Projects)

Get enumerations for a specific field name

get

Get max funding amount on NASA TechPort (Technology Projects)

Get the maximum funding amount available

get

Get nonce on NASA TechPort (Technology Projects)

Refresh the user nonce for secure sessions

get

Get opportunity on NASA TechPort (Technology Projects)

Get data for a specific opportunity

get

Get organization on NASA TechPort (Technology Projects)

Get detailed information for a specific organization

get

Get program on NASA TechPort (Technology Projects)

Get detailed information for a specific program

get

Get project on NASA TechPort (Technology Projects)

Get detailed information about a specific technology project

get

Get schema on NASA TechPort (Technology Projects)

Get the object schema for a specific type

get

Get taxonomy on NASA TechPort (Technology Projects)

Get a taxonomy root and its children

get

Get taxonomy tree on NASA TechPort (Technology Projects)

Get a full taxonomy in a tree format

list

List contacts on NASA TechPort (Technology Projects)

List contacts in TechPort

list

List enums on NASA TechPort (Technology Projects)

List enumerations for various fields used in the API

list

List opportunities on NASA TechPort (Technology Projects)

List all funding opportunities

list

List organization types on NASA TechPort (Technology Projects)

List available organization types

list

List organizations on NASA TechPort (Technology Projects)

List organizations matching filters

list

List programs on NASA TechPort (Technology Projects)

List all programs

list

List projects on NASA TechPort (Technology Projects)

Requires updatedSince query parameter. List available technology project IDs

list

List taxonomies on NASA TechPort (Technology Projects)

List taxonomy roots

list

List taxonomy nodes on NASA TechPort (Technology Projects)

List taxonomy nodes filtered by root ID, level, or code

predict

Predict drex on NASA TechPort (Technology Projects)

Retrieve Destination Area recommendations for a project description

predict

Predict trex on NASA TechPort (Technology Projects)

Retrieve taxonomy recommendations for a technology description

search

Search object on NASA TechPort (Technology Projects)

Search on a given object type using a query string

search

Search object advanced on NASA TechPort (Technology Projects)

Search on an object type based on complex criteria

search

Search object all data on NASA TechPort (Technology Projects)

Conduct a search for all objects with all fields included

search

Search opportunities on NASA TechPort (Technology Projects)

Search funding opportunities based on passed criteria

search

Search organizations on NASA TechPort (Technology Projects)

Search organizations based on provided criteria

submit

Submit feedback on NASA TechPort (Technology Projects)

Submit user feedback to the TechPort team

Connect NASA TechPort (Technology Projects) to Pydantic AI via MCP

Follow these steps to wire NASA TechPort (Technology Projects) into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install Pydantic AI

Run pip install pydantic-ai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 29 tools from NASA TechPort (Technology Projects) with type-safe schemas

Why Use Pydantic AI with the NASA TechPort (Technology Projects) MCP Server

Pydantic AI provides unique advantages when paired with NASA TechPort (Technology Projects) through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your NASA TechPort (Technology Projects) integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your NASA TechPort (Technology Projects) connection logic from agent behavior for testable, maintainable code

NASA TechPort (Technology Projects) + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the NASA TechPort (Technology Projects) MCP Server delivers measurable value.

01

Type-safe data pipelines: query NASA TechPort (Technology Projects) with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple NASA TechPort (Technology Projects) tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query NASA TechPort (Technology Projects) and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock NASA TechPort (Technology Projects) responses and write comprehensive agent tests

Example Prompts for NASA TechPort (Technology Projects) in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with NASA TechPort (Technology Projects) immediately.

01

"List all NASA technology projects that have been updated since 2024-01-01."

02

"Show me the full details for NASA project ID 94566."

03

"Search for funding opportunities related to 'autonomous robotics'."

Troubleshooting NASA TechPort (Technology Projects) MCP Server with Pydantic AI

Common issues when connecting NASA TechPort (Technology Projects) to Pydantic AI through Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

NASA TechPort (Technology Projects) + Pydantic AI FAQ

Common questions about integrating NASA TechPort (Technology Projects) MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your NASA TechPort (Technology Projects) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

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