Can I add a new datapoint to a goal from the agent?

Yes! Use the `add_datapoint` action with the goal slug and the value. You can also add an optional comment. Your agent will log it to Beeminder instantly.

How do I check if I'm in danger of derailing on a goal?

Simply ask the agent to `get_goal_status` with the Goal Slug. It will return the road status color (e.g., green, yellow, orange, red) and a summary of how much time or value remains.

Does the integration allow me to create new goals?

Currently, the toolset focuses on managing existing goals (logging data, checking status). Creating new goals with complex 'Yellow Brick Road' configurations must be done on the Beeminder website.

Beeminder MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Beeminder
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Beeminder as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="beeminder_agent",
    instruction=(
        "You help users interact with Beeminder "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

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High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Google ADK natively supports Beeminder as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the Beeminder MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Beeminder via MCP

Why Use Google ADK with the Beeminder MCP Server

Google ADK provides unique advantages when paired with Beeminder through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Beeminder

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Beeminder tools with BigQuery, Vertex AI, and Cloud Functions

Beeminder + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Beeminder MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Beeminder and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Beeminder tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Beeminder regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Beeminder

Beeminder MCP Tools for Google ADK (10)

These 10 tools become available when you connect Beeminder to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

Common issues when connecting Beeminder to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Beeminder + Google ADK FAQ

Common questions about integrating Beeminder MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.