Compatible with every major AI agent and IDE
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 Google ADK?
Google ADK natively supports PBGC Pension Data as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 4 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with PBGC Pension Data
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine PBGC Pension Data tools with BigQuery, Vertex AI, and Cloud Functions
PBGC Pension Data in Google ADK
PBGC Pension Data and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect PBGC Pension Data to Google ADK 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 Google ADK
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 Google ADK 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 Google ADK
Every tool call from Google ADK 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 Google ADK connect to MCP servers?
Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
Can ADK agents use multiple MCP servers?
Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
Which Gemini models work best with MCP tools?
Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.
McpToolset not found
Update: pip install --upgrade google-adk
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