How to Use the GlassFrog MCP in Vercel AI SDK

Q: Can I use GlassFrog with Vercel AI SDK to automate role reporting?

Yes. You can chain listholacracyroles and listroleassignments within your agent logic to generate current reports. It is a direct way to sync your frontend with your actual structure.

Q: Can I limit what GlassFrog tools my Vercel AI SDK agent sees?

Yes. When you call mcpClient.tools(), you can filter the array before passing it to your agent. This ensures your agent only has access to the functions you want it to execute.

Stream GlassFrog data directly into your Vercel AI SDK interface for real-time organizational visibility.

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…and any MCP-compatible client

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Connect GlassFrog MCP to Vercel AI SDK

Create your Vinkius account to connect GlassFrog to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup GlassFrog with Vercel AI SDK

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Claude

Perplexity

Real-time project tracking

Feed your UI live updates by calling `list_tactical_projects` inside your streamText calls. Your users see active project states as they change without waiting for a re-render. This keeps the interface snappy. The data flows from the server into your React components as soon as the agent finishes the call.

Instant member lookups

Quickly resolve identities by hooking `find_member_by_email` into your search bars. You get the exact profile details returned as JSON objects ready for display. Stop guessing who owns a role. Map emails to specific responsibilities instantly and show the results in your dashboard.

Dynamic circle summaries

Pull high-level organizational context using `get_circle_summary` to populate your sidebar content. This gives your agent the specific data it needs to answer user questions about current governance. It reduces the noise in your prompt context. You only send what matters for the current view.

Setup guide

Set up GlassFrog MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all GlassFrog tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent GlassFrog transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GlassFrog. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

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Common questions about GlassFrog MCP in Vercel AI SDK

Yes. You can chain `list_holacracy_roles` and `list_role_assignments` within your agent logic to generate current reports. It is a direct way to sync your frontend with your actual structure.

Use the Vinkius endpoint token provided in your dashboard. Your AI client handles the auth handshake, so you never hardcode secrets in your repo.

Absolutely. Since the MCP server is compatible with streaming, tool results appear as they arrive. Your UI stays responsive while the agent fetches data.

Yes. When you call `mcpClient.tools()`, you can filter the array before passing it to your agent. This ensures your agent only has access to the functions you want it to execute.

The server only touches your organizational structure data like role names and project titles. No personal PII is stored by us, and all traffic stays within your authenticated session.

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