Compatible with every major AI agent and IDE
What is the 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.
What you can do
- Project Discovery — List and fetch detailed metadata, descriptions, and status updates for specific NASA technology projects using
list_projectsandget_project. - Funding & Opportunities — Search for open funding opportunities, check maximum funding amounts, and export data for analysis using
search_opportunitiesandexport_opportunities. - Organizational Insights — Identify participating organizations, their types, and roles in various programs via
list_organizationsandsearch_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.
How it works
- Subscribe to this server
- Enter your NASA API Key (obtained from api.nasa.gov)
- Start querying NASA's R&D database from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Researchers & Scientists — quickly find existing NASA research to avoid duplication and find collaboration points.
- Aerospace Engineers — stay updated on the latest technological advancements in propulsion, materials, and life support.
- Policy Makers & Analysts — track NASA's technology investments and program distributions across different organizations.
Built-in capabilities (29)
Export funding opportunities
Get the Swagger/OpenAPI specification for the API
Get enumerations for a specific field name
Get the maximum funding amount available
Refresh the user nonce for secure sessions
Get data for a specific opportunity
Get detailed information for a specific organization
Get detailed information for a specific program
Get detailed information about a specific technology project
Get the object schema for a specific type
Get a taxonomy root and its children
Get a full taxonomy in a tree format
List contacts in TechPort
List enumerations for various fields used in the API
List all funding opportunities
List available organization types
List organizations matching filters
List all programs
Requires updatedSince query parameter. List available technology project IDs
List taxonomy roots
List taxonomy nodes filtered by root ID, level, or code
Retrieve Destination Area recommendations for a project description
Retrieve taxonomy recommendations for a technology description
Search on a given object type using a query string
Search on an object type based on complex criteria
Conduct a search for all objects with all fields included
Search funding opportunities based on passed criteria
Search organizations based on provided criteria
Submit user feedback to the TechPort team
Why CrewAI?
When paired with CrewAI, NASA TechPort (Technology Projects) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call NASA TechPort (Technology Projects) tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
- —
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
- —
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
NASA TechPort (Technology Projects) in CrewAI
NASA TechPort (Technology Projects) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect NASA TechPort (Technology Projects) to CrewAI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for NASA TechPort (Technology Projects) in CrewAI
The NASA TechPort (Technology Projects) 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. All 29 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in CrewAI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
NASA TechPort (Technology Projects) for CrewAI
Every tool call from CrewAI to the NASA TechPort (Technology Projects) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can I find detailed information about a specific NASA project if I have its ID?
You can use the get_project tool by providing the specific projectId. The agent will return comprehensive metadata including the project's description, status, and lead organizations.
Is it possible to search for active funding opportunities for space technology?
Yes! Use the search_opportunities tool with your specific criteria. You can also use list_opportunities to see all current funding calls available in the TechPort system.
Can I see the entire NASA technology taxonomy structure?
Absolutely. Use the get_taxonomy_tree tool to retrieve the full hierarchical structure of NASA's technology areas, which helps in understanding how different projects are categorized.
How does CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.
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