GlassFrog MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect GlassFrog through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using GlassFrog, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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
About GlassFrog MCP Server
Connect your GlassFrog organization to any AI agent to automate your Holacracy governance and tactical operations through the Model Context Protocol (MCP). GlassFrog is the premier platform for self-management and organizational clarity. This MCP server enables you to retrieve circle structures, role definitions, project lists, and performance metrics directly through natural conversation.
The Vercel AI SDK gives every GlassFrog tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
Key Features
- Organizational Oversight — List all circles and role definitions, retrieving detailed purposes and accountabilities for every role in the organization.
- Tactical Project Management — Access and list tactical projects, and programmatically create new projects within specific circles from your chat interface.
- Governance Transparency — Retrieve circle policies and governance records to understand the rules and constraints of your organization.
- Performance Metrics — Access defined metrics and checklist items to track organizational health and tactical progress.
- Workforce Collaboration — List all organization members and search for specific people by email to verify role assignments.
- Real-time Synchronization — Keep your Holacracy data accessible to your AI assistant without leaving your primary workspace.
The GlassFrog MCP Server exposes 12 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect GlassFrog to Vercel AI SDK via MCP
Follow these steps to integrate the GlassFrog MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 12 tools from GlassFrog and passes them to the LLM
Why Use Vercel AI SDK with the GlassFrog MCP Server
Vercel AI SDK provides unique advantages when paired with GlassFrog through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same GlassFrog integration everywhere
Built-in streaming UI primitives let you display GlassFrog tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
GlassFrog + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the GlassFrog MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query GlassFrog in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate GlassFrog tools and return structured JSON responses to any frontend
Chatbots with tool use: embed GlassFrog capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with GlassFrog through natural language queries
GlassFrog MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect GlassFrog to Vercel AI SDK via MCP:
create_new_project
Add a project
find_member_by_email
Search member
get_circle_summary
Get circle overview
list_checklist_items
List checklists
list_circle_metrics
List metrics
list_circle_policies
List policies
list_holacracy_circles
List all circles
list_holacracy_roles
List role definitions
list_org_members
List people
list_role_assignments
List assignments
list_tactical_projects
List all projects
verify_api_connection
Check connection
Example Prompts for GlassFrog in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with GlassFrog immediately.
"List all active circles in my organization."
"What are the accountabilities for the 'Product Manager' role?"
"Show me the current tactical metrics for the 'Marketing' circle (ID: 123)."
Troubleshooting GlassFrog MCP Server with Vercel AI SDK
Common issues when connecting GlassFrog to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpGlassFrog + Vercel AI SDK FAQ
Common questions about integrating GlassFrog MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
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?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect GlassFrog with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect GlassFrog to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.