Beeminder MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Beeminder 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 Beeminder, 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 Beeminder MCP Server
Connect your Beeminder account to any AI agent and integrate goal tracking into your daily workflow through natural conversation.
The Vercel AI SDK gives every Beeminder tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Goal Oversight — List and inspect all active goals to keep your commitments front and center.
- Data Management — Add, update, and delete datapoints for your goals to stay on your 'Yellow Brick Road'.
- Status Monitoring — Check real-time road status colors and 'limsum' summaries to avoid derailment.
- Goal Refresh — Trigger manual refreshes for your goals to ensure the latest data is reflected.
- Charge Auditing — List recent charges and pledges associated with your account.
The Beeminder MCP Server exposes 10 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 Beeminder to Vercel AI SDK via MCP
Follow these steps to integrate the Beeminder 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 10 tools from Beeminder and passes them to the LLM
Why Use Vercel AI SDK with the Beeminder MCP Server
Vercel AI SDK provides unique advantages when paired with Beeminder 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 Beeminder integration everywhere
Built-in streaming UI primitives let you display Beeminder 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
Beeminder + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Beeminder MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Beeminder in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Beeminder tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Beeminder capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Beeminder through natural language queries
Beeminder MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Beeminder to Vercel AI SDK via MCP:
add_datapoint
Add a new datapoint to a goal
delete_datapoint
Delete a datapoint
get_goal
Get specific goal details
get_goal_status
Check the current status of a goal
get_user_info
Get Beeminder user profile
list_charges
List recent charges/pledges
list_datapoints
List datapoints for a goal
list_goals
List all active Beeminder goals
refresh_goal
Trigger a refresh for a goal
update_datapoint
Update an existing datapoint
Example Prompts for Beeminder in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Beeminder immediately.
"List all my active Beeminder goals."
"Log 500 words to my 'Reading' goal."
"Check status for goal 'gym'."
Troubleshooting Beeminder MCP Server with Vercel AI SDK
Common issues when connecting Beeminder to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpBeeminder + Vercel AI SDK FAQ
Common questions about integrating Beeminder 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 Beeminder 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 Beeminder to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.