Bring Pension Plans
to OpenAI Agents SDK
Learn how to connect PBGC Pension Data to OpenAI Agents SDK and start using 4 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the PBGC Pension Data MCP Server?
Connect to the PBGC (Pension Benefit Guaranty Corporation) open data repository and empower your AI agent to analyze US pension plan health and regulatory metrics through natural conversation.
What you can do
- Single-Employer Plans — List and filter active plans by EIN, Plan Number, or State to monitor corporate pension landscapes.
- Multiemployer Plans — Retrieve comprehensive lists of active multiemployer plans insured by the PBGC.
- ERISA 4044 Rates — Access critical interest assumptions (select and ultimate rates) used for determining the present value of annuities.
- Financial Assistance — Track and analyze financial assistance payments made by the PBGC to multiemployer plans by fiscal year.
How it works
- Subscribe to this server
- Enter your PBGC Open Data API Key (or public token)
- Start querying pension datasets directly from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Financial Analysts — quickly gather data on pension plan premiums and financial assistance trends.
- Actuaries & Legal Professionals — retrieve ERISA 4044 interest assumptions for valuation and compliance without manual spreadsheet lookups.
- Policy Researchers — analyze the distribution of pension plans across different states and fiscal years.
Built-in capabilities (4)
Get ERISA 4044 Interest Assumptions
List financial assistance payments
List active multiemployer pension plans
List active single-employer pension plans
Why OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 4 tools from PBGC Pension Data through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries PBGC Pension Data, 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
- —
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
PBGC Pension Data in OpenAI Agents SDK
PBGC Pension Data and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect PBGC Pension Data 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 PBGC Pension Data in OpenAI Agents SDK
The PBGC Pension Data 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 4 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
PBGC Pension Data for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the PBGC Pension Data 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 filter single-employer pension plans for a specific state?
You can use the list_single_employer_plans tool and provide the two-letter state code (e.g., 'NY' or 'CA') in the state parameter to get localized results.
Can I retrieve ERISA 4044 interest rates for a specific year and quarter?
Yes! The list_erisa_4044_rates tool accepts optional year and quarter parameters to fetch the exact interest assumptions you need for valuation.
Is it possible to see financial assistance payments by fiscal year?
Absolutely. Use the list_financial_assistance tool and specify the fiscal_year (e.g., 2023) to see all payments made to multiemployer plans during that period.
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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