Bring Pension Plans
to Mastra AI
Learn how to connect PBGC Pension Data to Mastra AI 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 Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and PBGC Pension Data tool infrastructure. Connect 4 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add PBGC Pension Data without touching business code
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Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every PBGC Pension Data tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
PBGC Pension Data in Mastra AI
PBGC Pension Data and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect PBGC Pension Data to Mastra AI 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 Mastra AI
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 Mastra AI 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 Mastra AI
Every tool call from Mastra AI 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 Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp
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