Beeminder MCP for AI. Track commitments, log progress, manage goals.
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…and any MCP-compatible client
Connect to your AI in seconds.
Beeminder connects your personal commitment goals to any AI agent. You track progress, log metrics, and monitor goal status without leaving your workspace.
It turns tracking self-improvement into a natural conversation with your agent.
What your AI can do
Add datapoint
Adds a new, measurable data point to an active goal.
Delete datapoint
Removes a datapoint from a goal's history when the original entry was wrong.
Get goal status
Checks the current progress status of a goal to see if it's on track or at risk.
List and inspect every active goal you've set up.
Add fresh data points (like words written or gym minutes) to any specific goal.
Update or delete datapoints associated with a goal if the original log was incorrect.
Check the immediate, real-time road status color and summary for any goal.
List recent charges or financial pledges tied to your account history.
Ask an AI about this
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Beeminder: 10 Tools for Goal Data Management
These tools give your agent full control over reading, writing, updating, and auditing all of your committed goals.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Beeminder on VinkiusAdd Datapoint
Adds a new, measurable data point to an active goal.
Delete Datapoint
Removes a datapoint from a goal's history when the original entry was wrong.
Get Goal Status
Checks the current progress status of a goal to see if it's on track or at risk.
Get Goal
Retrieves detailed information about a specific, named goal.
Get User Info
Retrieves your basic Beeminder profile details.
List Charges
Lists recent financial pledges and associated charges on the account.
List Datapoints
Retrieves all historical data points logged for a specific goal.
List Goals
Lists every active commitment and goal set up on the account.
Refresh Goal
Manually triggers an update for a goal to ensure the system has the latest data.
Update Datapoint
Changes the value of an existing datapoint instead of deleting and adding a new one.
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Claude AI
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp
Replace [YOUR_TOKEN_HERE] with your token
from cloud.vinkius.com. For OAuth-protected servers, expand
Advanced settings to add credentials.
Start a conversation
Open a new chat. The Beeminder integration is available immediately — no restart needed.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Beeminder, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,100+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Beeminder. 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.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This connection provides 10 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Tracking personal goals used to be a mess of tabs and spreadsheets.
Today, if you want to know your progress on something—say, reading books or hitting a gym quota—you usually have to jump through hoops. You open the goal website, find the specific metric, manually type in the number, hit save, and then switch tabs just to check the status color. It’s tedious copy-pasting across multiple dashboards.
With this MCP, you talk directly to your agent. The conversation handles all those manual clicks. You tell it what you did, and it uses tools like `add_datapoint` and `get_goal_status` in the background. You just get the answer: 'Done.' It's instant.
Beeminder MCP gives you control over your data points.
The biggest time sink is correcting mistakes. If you accidentally log 10 instead of 100, the old process means deleting the whole entry and re-entering it somewhere else. It's messy and error-prone.
Now, if that datapoint needs fixing, your agent uses `update_datapoint`. You tell it which goal and what the new number is. The change happens cleanly, without touching the historical record.
What your AI can actually do with this
Using this MCP, you embed goal accountability directly into your daily workflow. Instead of logging into a separate habit tracker or manually updating spreadsheets, your AI client handles it all through simple conversation. You can list and inspect every active commitment to see exactly what you've pledged to do. Need to update your progress? Your agent adds new data points or adjusts existing ones on the fly.
It even checks real-time status colors and provides summaries so you know if you’re falling behind before it becomes a problem. This gives you an instant view of your 'Yellow Brick Road,' letting you manage commitments right from Vinkius, alongside thousands of other services.
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Here's how it actually works
The bottom line is: you talk to your agent like talking to a dashboard, and it handles the complex data calls in the background.
First, subscribe to this MCP and enter your Beeminder Username and Auth Token.
Next, tell your AI agent the goal you want to check or update.
Finally, the agent executes the required action—like logging data points or checking status—and gives you a direct answer.
Who is this actually for?
Anyone who tracks personal metrics or professional commitments regularly. This is for developers who need automated logging, researchers tracking behavioral data, and knowledge workers obsessed with quantified self-improvement.
Automates the process of logging datapoints from scripts or within a code editor without writing boilerplate API calls.
Uses the agent to check goal status during team reviews, ensuring clients stay accountable to their self-imposed targets.
Retrieves historical datapoints and lists goals to analyze commitment patterns across different user cohorts.
What Changes When You Connect
Stop manual data entry. Instead of logging into a separate site to update your metrics, you just talk to your agent and use the add_datapoint tool.
Know your risk instantly. You can check commitment status using get_goal_status, which tells you immediately if your goal is yellow or red.
Keep records clean. If you enter a datapoint incorrectly, use update_datapoint to change the number instead of deleting and re-adding it.
Get full visibility into commitments. Use list_goals to see every single thing you've pledged to do in one go.
Review your finances easily. The list_charges tool gives you an immediate audit of all recent pledges associated with the account.
See it in action
I need to check if I’m going to miss my quarterly goal.
My agent checks the current status using get_goal_status. It tells me that since I haven't logged data in two weeks, I'm yellow. Then, it lets me use list_datapoints to see exactly how far off track I am from my target.
I finished a large chunk of work and need to log the progress.
I ask my agent to log 1200 words for my book goal. The agent uses add_datapoint and confirms my road status has improved, all in one conversational step.
My team needs a report on who is actively logging goals.
I ask the agent to list all active goals using list_goals, giving me an immediate overview of everyone’s current commitments that need monitoring.
The honest tradeoffs
Assuming data is fresh
Running a status check and getting misleading results because the underlying goal hasn't been updated since yesterday.
Before checking any critical status, always run refresh_goal first. This forces the system to pull the absolute latest information before you use get_goal_status.
Manually editing historical data
Deleting a datapoint and then trying to input a replacement value via an external spreadsheet.
If the number changed slightly, don't delete it. Use update_datapoint to modify the existing record directly within your agent.
When It Fits, When It Doesn't
Use this MCP if your primary need is logging quantifiable personal progress or tracking commitments against a defined goal boundary (e.g., 'write 50 words per day'). You must have discrete, measurable data points that can be added, deleted, or updated.
Don't use it if you need to track complex qualitative changes, like 'improved mood' or 'better teamwork,' because the tools only handle numeric inputs. For those scenarios, stick to a messaging service MCP; they are designed for unstructured text. Always remember: this tool is about data points, not feelings.
Questions you might have
How do I list all my active goals using list_goals? +
You simply ask your agent to run list_goals. It returns a clean roster of every commitment you have made, giving you an immediate inventory.
What if I need to check the status for multiple goals? Is there a single tool? +
No single tool handles that. You'll need to ask your agent to run get_goal_status for each specific goal you want checked.
Can I find out how much money I’ve pledged using list_charges? +
Yes, running list_charges provides a full rundown of your recent pledges and any associated financial obligations on the account.
I want to see my goals' data over time. Which tool should I use? +
Use list_datapoints. This pulls all historical metrics for one specific goal, letting you graph your progress and spot trends in your commitment.
Before I start tracking goals, how do I test my credentials using get_user_info? +
It retrieves your basic Beeminder profile details. This is the best way to confirm that your authentication token works correctly before you try modifying any goal data.
If I logged a datapoint incorrectly, should I use update_datapoint or delete_datapoint? +
Use update_datapoint if the metric was recorded but the value is wrong. If the original entry was never meant to be there at all, then you'll want to call delete_datapoint.
My goal status seems stale; how do I manually force a data refresh using refresh_goal? +
This tool immediately triggers a pull of the latest commitment numbers from Beeminder. It's crucial for ensuring your agent sees real-time updates and accurate progress metrics.
I only want to see the raw, structured data points for one specific goal; how do I use list_datapoints? +
list_datapoints pulls a detailed log of every metric recorded against that single goal slug. This gives you granular access to historical data separate from just checking the overall status.
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.
We've already built the connector for Beeminder. Just plug in your AI agents and start using Vinkius.
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