Introducing the Beyond Time MCP Server: Track Goals From Claude
The Beyond Time MCP server is live. Connect Claude to your goals, milestones, habits, and routines through natural language. Templates and examples inside.
For a decade, "AI-powered productivity" meant opening yet another app and copy-pasting model output somewhere useful. The interface was the bottleneck. Goals in one place, your AI assistant in another, your calendar in a third, and the only thing connecting them was you.
The Beyond Time MCP server is live at https://beyondtime.ai/mcp. If you use Claude Desktop or Claude Code, you can now create goals, plan milestones, schedule actions, build habits, and ask for daily reflections without leaving Claude. Your goal system becomes a tool the AI can actually use, not a separate tab you have to remember to open.
This post covers what shipped and how to connect your client in five minutes.
Key Takeaway
The Beyond Time MCP server turns your goals, milestones, habits, routines, and daily actions into structured tools any MCP-compatible AI client can call. Plan, track, and reflect through chat. Authentication is OAuth-based and your data stays tied to your existing Beyond Time account.
What is The Beyond Time MCP server?
The Beyond Time MCP server connects your Beyond Time account to Claude. The endpoint lives at https://beyondtime.ai/mcp. Once you connect, your AI assistant can read and write your goals, milestones, habits, routines, and daily actions through conversation — operating on the same data you see in the app.
There is no separate "AI account" or sandbox. The MCP server is a new way into the same Beyond Time you already use.
You don't need to install a binary or run a local proxy. Point your AI client at the URL, complete a one-time sign-in, and you're done.
What is Model Context Protocol and why does it matter for goal tracking?
Model Context Protocol (MCP) is the standard that lets AI assistants like Claude connect to external tools and take action on your behalf. Anthropic introduced it in late 2024, and it has quickly become how serious productivity apps expose themselves to AI.
Before MCP, getting an AI to do anything in your apps meant either copy-pasting between tools or hoping someone built a custom integration that still worked. MCP replaces that with a single connection: one sign-in and your AI can actually use your data.
For goal tracking, the fit is natural. You want to tell Claude "I want to run a half marathon by October" and have that become a real goal with milestones, not a suggestion you have to manually type somewhere else. That is exactly what MCP makes possible. We've written about how personal AI changes goal achievement, and MCP is the layer that finally makes it real.
What can you actually do with the Beyond Time MCP server?
The MCP server exposes your full Beyond Time surface as structured tools. Below is a breakdown by what you'll actually use them for. (A note on terminology: in the Beyond Time UI we use "Goals" and "Milestones." On the server side these correspond to Objectives and Key Results, but you'll only see "Goals" and "Milestones" through the MCP tools, which is the language we'll use here.)
How do You create and manage goals from your AI client?
Goal management uses beyondtime_setup, beyondtime_get_dashboard, beyondtime_list_goals, beyondtime_create_goal, beyondtime_update_goal, and beyondtime_delete_goal.
beyondtime_setup is the orientation call. Run it once at the start of a session and the AI gets a structured view of your account. beyondtime_get_dashboard gives a higher-level snapshot, the equivalent of opening Beyond Time and looking at the home screen. Most assistants call one or both implicitly before doing real work.
The lifecycle is list, create, update, delete. The interesting part isn't the API surface; it's what natural language unlocks on top of it. Try a prompt like:
"Create a Q2 goal called 'Run a half marathon' and add three milestones: build a base of 20 miles per week, complete a 10K race in May, and run 13.1 miles by the end of June."
Claude will call beyondtime_create_goal with the title and timeframe, then beyondtime_create_milestone three times. You don't structure any of it manually. The objects land in your Beyond Time account exactly as if you'd typed them in.
Updating works the same way. "Push the half marathon target date out by four weeks" becomes a beyondtime_update_goal call. "Delete the 'learn French' goal" becomes a beyondtime_delete_goal call after a confirmation.
How do You track milestones and daily actions through chat?
Goals are the destination; milestones are the chunks; actions are what you actually do today. The MCP server exposes all three layers.
For milestones: beyondtime_list_milestones, beyondtime_create_milestone, beyondtime_update_milestone, plus the AI-assisted beyondtime_suggest_milestones. The suggestion tool is the same engine behind the in-app generator. When you ask Claude "break down my new goal into milestones," it can call beyondtime_suggest_milestones, surface a structured plan, and commit chosen ones with beyondtime_create_milestone.
For actions, the surface is broader: beyondtime_list_actions, beyondtime_create_action, beyondtime_update_action, beyondtime_complete_action, beyondtime_schedule_action, and beyondtime_delete_action. Splitting update, complete, and schedule is intentional. Marking done is different from rescheduling, which is different from editing content. Each gets its own tool, so the AI does exactly the right thing.
A typical morning flow:
"What's on my list today? Mark anything from yesterday that I told you I finished as complete, then schedule the deep work blocks for tomorrow morning between 8 and 11."
That message chains beyondtime_list_actions, several beyondtime_complete_action calls, and a few beyondtime_schedule_action calls. The AI orchestrates. You do the work.
How do You build habits and routines via natural language?
Habits and routines are the recurring scaffolding around goals. The server exposes beyondtime_list_habits, beyondtime_create_habit, beyondtime_update_habit, beyondtime_delete_habit, and the matching set for routines: beyondtime_list_routines, beyondtime_create_routine, beyondtime_update_routine, beyondtime_delete_routine.
Two suggestion tools, beyondtime_suggest_habits and beyondtime_suggest_routines, mirror the AI features inside the app. Ask "what habits would move the needle on my half marathon goal?" and Claude can call beyondtime_suggest_habits for a contextual list, then commit chosen ones with beyondtime_create_habit.
Routines differ from habits in that they're sequenced. A morning routine is several blocks in a specific order. The MCP tools let the AI either propose an entire routine in one call or build one up incrementally as you talk through what your real morning looks like.
A useful pattern: ask the AI to read your existing goals, then design a weekly routine that supports all of them. It can chain beyondtime_list_goals, beyondtime_suggest_routines, and beyondtime_create_routine, without you leaving the chat window.
How do You give the AI long-term context about your life?
The trickiest part of any AI assistant is context. The model is brilliant in the moment and amnesiac across sessions. The MCP server addresses this with three personal-context tools: beyondtime_list_personal_contexts, beyondtime_create_personal_context, and beyondtime_delete_personal_context.
Personal contexts are durable notes about you. Things like "I have two kids under five, mornings before 7am aren't realistic for deep work," or "I'm training for a sub-1:45 half marathon, my current 10K is 48 minutes."
These get pulled in by any AI client connecting to your account. When you ask "design a routine for me," the AI doesn't need you to re-explain your life. It calls beyondtime_list_personal_contexts and reads the relevant facts.
Two more delightful tools live here: beyondtime_daily_quote and beyondtime_daily_reflection. They generate context-aware prompts and quotes based on your actual goals. Ask "what's a good reflection question for me tonight?" and you get something rooted in your work, not a generic "what are you grateful for?"
Connect Claude to Beyond Time
Plan, track, and reflect on goals from inside Claude Desktop or Claude Code.
Get StartedWhich Claude clients work with Beyond Time today?
The clients we've tested most heavily are Claude Desktop and Claude Code. Both work cleanly: add the server URL, complete the sign-in, and you're ready.
Claude Desktop is the easiest starting point for most users. Claude Code is the better choice if you live in the terminal and want to interleave goal updates with development work ("I just shipped the auth refactor, mark that milestone complete and add a new one for the post-launch monitoring window").
If you've evaluated us against a calendar-only competitor like Notion Calendar or a scheduling-first tool like Motion, one quiet but important difference: Beyond Time is built so its data is meant to be touched by AI. Most tools have AI features bolted onto a closed UI. We have an MCP server. That's structural, not marketing.
What does the sign-in flow look like?
From your perspective, it's one step: a browser window opens, you sign in to Beyond Time (or confirm an existing session), you approve, and you're back in your AI client with a working connection. Your client handles the rest automatically.
You can disconnect any AI client at any time from your account settings. The moment you disconnect, that client loses access.
The question that comes up: "wait, an AI can write to my goals?" Yes — and the security boundary is identical to you logging in and clicking buttons yourself. The AI acts on your behalf, with your permission. Nothing more.
Privacy stance
Beyond Time does not train on your goal data. Your data is yours. The MCP server simply gives Claude a structured way to operate on it on your behalf, with your permission, using your credentials.
How is this different from typing into the Beyond Time app?
A fair question. If Beyond Time already has a clean app, why bother with MCP at all? Three reasons.
First, mode-switching cost. The most common user hits goals not at planning time but mid-work. You're writing a strategy doc and realize you need a milestone for customer interviews. You're coding and realize a bug should become a goal-level investigation, not a one-off ticket. With MCP, your AI client (where you're already working) is the input surface. No tab switch.
Second, planning depth. The app is great for fast capture and visualization. But planning where you want to think out loud, get challenged, refine, then commit is better in chat. Talking through a goal with Claude, having it propose milestones, narrowing them, then committing with one tool call is fundamentally different from filling in a form. As our complete guide to personal OKRs argues, quality of structure compounds. AI-assisted planning produces better-structured goals.
Third, automation. Once your goals are addressable as MCP tools, the automation surface expands. Ask Claude to "review my last week, mark anything done, suggest adjustments for next week" as a Sunday ritual. Build agentic flows that pull from your goals and push to your calendar. The app is the primary surface; MCP is the API the AI uses.
Existing workflows aren't going anywhere. The web and mobile apps remain canonical. MCP is additive: another way in, especially for users whose default working environment lives inside an AI client.
What's on the MCP roadmap?
Today's launch covers the full core surface: goals, milestones, actions, habits, routines, personal context, suggestions, daily quotes and reflections, dashboard, and setup. We wanted the first version useful end-to-end, not a half-shipped demo.
A few things next.
Faster responses on AI suggestions. Suggestion tools take a few seconds because they invoke generative models. We'll surface progress more clearly as they run.
Proactive nudges. Today the AI acts only when you talk to it. A future version will let your client flag things proactively — for example, surfacing a milestone that's falling behind before you have to notice it yourself.
Pro-tier MCP features. Some heavier AI tools, deeper history, and bulk operations will move to Pro over time. The base read/write surface will remain on every plan because the connection itself is part of the product.
If you have feedback on what to prioritize, the contact form in the app routes directly to the team. We read everything.
How do You get started in 5 minutes?
Setup is genuinely fast. Here's the sequence.
1. Make sure you have a Beyond Time account. If you don't, sign up at the Beyond Time app. The MCP server uses your Beyond Time account credentials, so you need an account before connecting.
2. Open Claude's MCP configuration. In Claude Desktop, this is the settings panel under "Connectors" or "Integrations" (UI varies by version). In Claude Code, it's claude mcp add from your terminal.
3. Add a new remote MCP server with the URL https://beyondtime.ai/mcp. Don't worry about API keys; the server uses OAuth, not static keys. Save the configuration.
4. Complete the OAuth flow. Your client opens a browser tab. Sign in, approve the connection, and the tab closes itself. Back in your client, Beyond Time tools are now available.
5. Try it. A first prompt that exercises the connection nicely:
"Show me my current goals and tell me which one looks most off-track based on the milestones I've completed."
That single prompt will trigger beyondtime_setup, beyondtime_list_goals, and beyondtime_list_milestones. If you see structured results come back, you're connected. If something goes wrong, the error message will tell you exactly which step failed.
If you're evaluating AI productivity stacks more broadly, our round-up of the best AI productivity apps for 2026 walks through the landscape, including which tools play well together. MCP is increasingly the connective tissue.
Try the Beyond Time MCP Server
Five minutes to connect, zero friction after that. Plan goals from your AI client today.
Open Beyond TimeFrequently Asked Questions
Is the Beyond Time MCP server free to use?
The MCP server is available to all Beyond Time users on every plan, including the free tier. Some heavier AI-assisted operations (advanced suggestions, bulk operations, longer-history dashboards) will be gated to Pro over time, but the core ability to read and write your goals, milestones, habits, routines, actions, and personal contexts through MCP is part of the base product.
Do I need to know anything about MCP to use it?
No. MCP is a protocol; you don't need to understand the protocol to use it any more than you need to understand HTTP to browse the web. If you have Claude Desktop or Claude Code, you paste in the URL, complete an OAuth flow, and use natural language. Everything else is plumbing Claude handles for you.
Can the AI accidentally delete my goals?
Technically yes — deletion tools exist. In practice, modern clients prompt you before taking any destructive action, and the AI won't delete anything without a clear instruction. If you're cautious early on, start read-only: "just show me my goals" or "suggest milestones but don't create them yet." You can always expand from there.
Does the MCP server work with mobile or only desktop?
The server itself is platform-agnostic. It works wherever your MCP client works. Today, that's mostly desktop and CLI clients. As mobile MCP clients mature, the same Beyond Time server will work with them. No changes needed on our end.
Will my data be used to train AI models?
No. Beyond Time does not train on your goal data, and the MCP server doesn't change that. When you connect Claude, you're using Anthropic's model to interact with your data. Whether Claude trains on prompts is governed by your agreement with Anthropic. Beyond Time takes no part in any training pipeline.
What happens if my AI client misuses a tool?
Every tool call is authenticated against your account and respects the same access controls as the app itself. A misused tool can only do things you yourself could do through the UI. If a sequence of calls produces a bad outcome, you can fix it the same way you'd fix any goal-management mistake: open the app, edit, undo. We're also working on richer audit logging so you can review tool calls after the fact.
Can I use the MCP server with my own custom AI agent?
Yes. Any MCP-compatible client works, including custom agents you build yourself. Point it at https://beyondtime.ai/mcp, complete the sign-in flow, and it calls the same tools Claude Desktop does. Several power users are already building personal automation agents on top of the server.
Where do you go from here with the Beyond Time MCP server?
The Beyond Time MCP server is a small change in setup and a large change in how goals get tracked. The same goals, milestones, and daily actions you'd manage in the app are now reachable from inside the AI client you're already using. The friction between "I should add that to my goals" and "I added that" collapses to a sentence.
If you've been waiting for AI productivity to feel less like a gimmick and more like a real habit, this is it. One sign-in and you're done.
Open the Beyond Time app, then point Claude at https://beyondtime.ai/mcp. Five minutes of setup, and your goal system starts speaking the same language as Claude.
Connect Beyond Time to Claude
Goals, milestones, habits, routines, and daily actions — all reachable from Claude Desktop and Claude Code.
Get Started FreeResearch and Further Reading
For deeper background on the ideas referenced in this post:
Related Articles
How to Track Your Goals From Claude (Step-by-Step MCP Setup Guide)
Learn how to track goals from Claude with this step-by-step MCP setup guide. Connect Claude Desktop to Beyond Time and manage goals straight from chat.
Goal Tracking With MCP: The Future of Productivity
Goal tracking MCP turns your AI assistant into a real coach. See how Model Context Protocol rewires personal productivity around open, agentic workflows.
Daily OKR Review With Claude: A 5-Minute Ritual
The 5-minute daily OKR review ritual with Claude and MCP — the morning and evening playbook that finally keeps quarterly goals alive every single day.
AI-Native Goal Tracking: What It Is and Why It Wins
AI-native goal tracking replaces forms and dashboards with conversation, memory, and proactive moves. See what the shift means and how to try it today.
How Beyond Time's AI Milestone Generator Actually Works
Discover how our AI Milestone Generator turns any goal into a step-by-step action plan. See real examples and get tips for better results. Templates and.
The Complete Beyond Time MCP Tools Reference: Every Tool, Every Prompt
The canonical Beyond Time MCP tools reference: every tool, every parameter, every example prompt. Bookmark this developer-grade guide and ship faster.