Beeminder MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Beeminder through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"beeminder": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Beeminder Agent",
instructions:
"You help users interact with Beeminder " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Beeminder?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Beeminder tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Beeminder MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Beeminder via MCP
Why Use Mastra AI with the Beeminder MCP Server
Mastra AI provides unique advantages when paired with Beeminder through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Beeminder without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Beeminder tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Beeminder + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Beeminder MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Beeminder, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Beeminder as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Beeminder on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Beeminder tools alongside other MCP servers
Beeminder MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Beeminder to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Beeminder to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpBeeminder + Mastra AI FAQ
Common questions about integrating Beeminder MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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 Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.