Bring Transparency
to Vercel AI SDK
Learn how to connect FOIA.gov (Freedom of Information) to Vercel AI 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.
Compatible with every major AI agent and IDE
What is the FOIA.gov (Freedom of Information) MCP Server?
Connect to the FOIA.gov API to streamline access to Freedom of Information Act data. This MCP server allows AI agents to navigate the complex structure of US government agencies and their specific FOIA requirements through natural conversation.
What you can do
- Agency Discovery — List all FOIA agency components and filter by specific fields like titles and abbreviations.
- Component Details — Fetch deep metadata for specific agency components using their unique UUIDs.
- Request Forms — Retrieve the exact structure and fields required for FOIA request forms for any specific component.
- Annual Reports — Access NIEM-standard XML annual reports for agencies by year to analyze transparency metrics.
How it works
- Subscribe to this server
- Enter your FOIA.gov API Key
- Start querying government transparency data from your AI assistant
Who is this for?
- Journalists & Researchers — quickly identify which agency components handle specific types of records.
- Legal Professionals — automate the retrieval of request form structures to ensure compliance with agency-specific requirements.
- Data Analysts — pull annual report data in XML format for large-scale transparency analysis.
Built-in capabilities (4)
Fetch a specific agency component by UUID
Fetch the FOIA request form structure for a specific component
Fetch an agency annual report in XML format
Supports JSON API sparse fieldsets and includes. List all FOIA agency components
Why Vercel AI SDK?
The Vercel AI SDK gives every FOIA.gov (Freedom of Information) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 4 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same FOIA.gov (Freedom of Information) integration everywhere
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Built-in streaming UI primitives let you display FOIA.gov (Freedom of Information) tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
FOIA.gov (Freedom of Information) in Vercel AI SDK
FOIA.gov (Freedom of Information) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect FOIA.gov (Freedom of Information) to Vercel AI 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 FOIA.gov (Freedom of Information) in Vercel AI SDK
The FOIA.gov (Freedom of Information) 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 Vercel AI 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
FOIA.gov (Freedom of Information) for Vercel AI SDK
Every tool call from Vercel AI SDK to the FOIA.gov (Freedom of Information) 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 the specific requirements for filing a FOIA request with an agency?
You can use the get_agency_component_request_form tool with the agency's UUID. It will return the full structure of the form, including all required fields and instructions.
Is it possible to list all sub-components of a major government agency?
Yes. Use list_agency_components and you can include the parent agency information to filter or identify all components belonging to a specific department.
Can I access the raw annual transparency reports for data analysis?
Absolutely. The get_annual_report_xml tool allows you to fetch the official NIEM-standard XML reports for any agency and year (e.g., DOJ, 2021).
How does the Vercel AI SDK connect to MCP servers?
Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
Can I use MCP tools in Edge Functions?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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