Bring Product Safety
to OpenAI Agents SDK
Learn how to connect CPSC (Consumer Product Safety Commission) to OpenAI Agents SDK and start using 1 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
Compatible with every major AI agent and IDE
What is the CPSC (Consumer Product Safety Commission) MCP Server?
Connect to the Consumer Product Safety Commission (CPSC) database to monitor product safety and recalls through natural conversation.
What you can do
- Recall Search — Search the entire database using keywords, product names, or specific recall numbers.
- Hazard Filtering — Identify products recalled for specific risks like fire, choking, or lead exposure.
- Manufacturer Tracking — Query recalls associated with specific brands or manufacturers.
- UPC & Model Verification — Check if a specific product model or UPC is under an active recall notice.
- Date Range Queries — Filter results to see the most recent safety alerts or historical data.
How it works
- Subscribe to this server
- No authentication is required for this public government API
- Start querying safety data from Claude, Cursor, or any MCP client
Who is this for?
- Compliance Officers — verify product safety against official government records.
- Retailers & E-commerce — ensure inventory does not contain recalled items.
- Concerned Parents & Consumers — quickly check household items for safety hazards.
Built-in capabilities (1)
The API is public and requires no authentication. Search for CPSC consumer product recalls
Why OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 1 tools from CPSC (Consumer Product Safety Commission) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries CPSC (Consumer Product Safety Commission), another analyzes results, and a third generates reports, all orchestrated through Vinkius.
- —
Native MCP integration via
MCPServerSse, pass the URL and the SDK auto-discovers all tools with full type safety - —
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
- —
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
CPSC (Consumer Product Safety Commission) in OpenAI Agents SDK
CPSC (Consumer Product Safety Commission) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect CPSC (Consumer Product Safety Commission) to OpenAI Agents SDK 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 CPSC (Consumer Product Safety Commission) in OpenAI Agents SDK
The CPSC (Consumer Product Safety Commission) 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 1 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in OpenAI Agents SDK 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
CPSC (Consumer Product Safety Commission) for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the CPSC (Consumer Product Safety Commission) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I filter recalls by a specific hazard type like 'Fire' or 'Choking'?
Yes! Use the search_recalls tool and provide the hazard keyword in the Hazard parameter. The agent will return all matching products associated with that specific risk.
Is it possible to search for recalls from a specific manufacturer or brand?
Absolutely. You can use the Manufacturer parameter in the search_recalls tool to list all safety notices issued for products from a particular company.
Can I search for a recall using a specific Product UPC?
Yes, the search_recalls tool includes a ProductUPC field. This allows for precise identification of specific items that may be subject to safety recalls.
How does the OpenAI Agents SDK connect to MCP?
Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
Can I use multiple MCP servers in one agent?
Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
MCPServerStreamableHttp not found
Ensure you have the latest version: pip install --upgrade openai-agents
Agent not calling tools
Make sure your prompt explicitly references the task the tools can help with.
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