Active Recall Planner MCP for AI. Structure any study material into an optimized learning path.
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Active Recall Session Planner structures your study time using Bloom's Taxonomy. Give it a list of topics and how much time you have, and this MCP builds a step-by-step practice schedule that moves from simple definitions to complex analysis.
It ensures every subject is covered and the difficulty level hits the right balance for deep learning.
What your AI can do
Generate practice sequence
Creates a step-by-step, optimized study plan progressing through different levels of learning difficulty.
Summarize session complexity
Calculates and explains the cognitive load balance across all planned topics in a session.
Verify topic inclusion
Checks your plan to confirm that every mandatory subject or concept is actually included.
Builds a timed, multi-level practice schedule from your topics.
Provides a score and summary of the cognitive difficulty in your planned study session.
Verifies that every required subject is included in the generated practice sequence.
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Active Recall Session Planner MCP: 3 Tools
Use these three tools to plan, validate, and optimize your learning sessions according to proven educational science principles.
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 Active Recall Session Planner on VinkiusGenerate Practice Sequence
Creates a step-by-step, optimized study plan progressing through different levels of learning difficulty.
Summarize Session Complexity
Calculates and explains the cognitive load balance across all planned topics in a...
Verify Topic Inclusion
Checks your plan to confirm that every mandatory subject or concept is actually...
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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
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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
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Make Your AI Do More
Start with Active Recall Session Planner, 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
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- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
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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 3 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Manually planning a study session is a huge time sink.
Right now, if you're building curriculum or preparing for an exam, you probably start with a massive checklist of topics. Then, you have to manually assign time slots and decide what kind of question goes where—should it be multiple choice (Knowledge)? Or should the student write a short essay explaining *why* something happened (Analysis)? You end up juggling spreadsheets, guessing at the difficulty curve, and constantly checking if you forgot that one crucial subtopic.
With this MCP, your agent handles all of that guesswork. You give it the topics and the time limit; it builds an entire learning itinerary for you. It doesn't just list concepts; it sequences them by cognitive challenge, making sure your study plan is perfectly paced from foundational knowledge up through complex analysis.
The Active Recall Session Planner gives you a validated structure.
You no longer have to worry about topic gaps or the session feeling unbalanced. You can use `verify_topic_inclusion` to confirm every required subject is covered, and then run `summarize_session_complexity` to get an objective score on whether the difficulty level is right for your learners.
It’s a reliable system that ensures coverage and depth in one pass. What's different now is certainty—you walk away with a fully validated plan you can trust, minimizing wasted study time.
What your AI can actually do with this
Learning new things requires more than just reading; it demands active testing. This planner takes your raw list of subjects and your available hours, then structures a full study plan that follows established educational science principles. The output isn't just a checklist; it’s an optimized sequence designed to build knowledge progressively—you start by defining terms, then moving into explaining concepts, and finally analyzing complex scenarios.
When you connect this MCP via Vinkius, your agent handles all the planning heavy lifting. It doesn't just organize topics; it validates that your plan is thorough by checking for gaps and even tells you how 'complex' the session is going to feel. You get a reliable study guide that guarantees maximum learning impact.
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Here's how it actually works
The bottom line is you get an optimized study itinerary that forces deep understanding and ensures balanced coverage.
Give your agent a list of topics you need to cover and the total time you have available for studying.
The MCP analyzes these inputs against Bloom's Taxonomy, creating a sequenced practice plan that builds difficulty gradually.
You receive a detailed, structured schedule showing exactly what kind of recall (e.g., defining vs. analyzing) is required for each concept.
Who is this actually for?
Students, curriculum developers, or corporate trainers who are tired of feeling like they're studying randomly. If your learning materials feel disorganized or unevenly challenging, this is for you.
Needs to cram for final exams across several disparate subjects and needs a study plan that covers all material without burning out.
Must validate new educational modules, ensuring the planned lessons progress logically from basic recall through high-level critical thinking tasks.
Designs compliance or skills workshops and needs to rapidly generate structured training plans that hit specific knowledge domains while maintaining an appropriate difficulty curve.
What Changes When You Connect
Stop guessing how deep your studying needs to be. The summarize_session_complexity tool tells you the cognitive balance, so you know if you're just memorizing facts or if you’re actually analyzing them.
Never miss a topic again. Use verify_topic_inclusion first; it confirms that every subject you listed is present in your study sequence before you waste time building the plan.
Go beyond simple flashcards. The generate_practice_sequence tool forces you to practice different thinking levels, making sure your learning progresses from 'What is X?' to 'How do I fix X?'
Save hours of planning. Instead of spending an afternoon manually sequencing topics across Bloom's Taxonomy, let this MCP build the entire structure in seconds.
Maintain a rigorous study workflow. The process ensures that you address topic gaps and complexity simultaneously, building true mastery rather than surface-level knowledge.
See it in action
Final Exam Prep for Science
A student studying biology needs to cover Photosynthesis, Mitosis, and DNA Replication in 30 minutes. They ask their agent to use generate_practice_sequence, which returns a timed plan that moves from basic definitions (Knowledge) to explaining mechanisms (Comprehension) for each topic.
Curriculum Audit
A corporate trainer needs to ensure a new module covers three specific compliance topics: Ethics, GDPR, and Safety. They use verify_topic_inclusion with these three subjects, confirming that the draft curriculum hits all required points before writing any content.
Optimizing Study Time
A university student feels their practice plan is too easy. They run a simulated session through summarize_session_complexity and get a score that tells them they need to focus more on higher-order analysis tasks.
Building New Training Modules
A designer has a list of 15 skills. They first use verify_topic_inclusion to confirm the full list is covered, then feed it all into generate_practice_sequence to get an optimized training schedule that respects their allotted development time.
The honest tradeoffs
Thinking topics are enough
A user just lists 'History, Math, Chemistry' and expects a study plan. They only get basic definitions, failing to prepare for complex application questions.
Use the generate_practice_sequence tool. It doesn't just list topics; it structures the practice by difficulty level (Knowledge, Application, Analysis). This ensures deep understanding across all subjects.
Ignoring missing material
A developer builds a training module covering 10 points but forgets one critical step. The resulting plan is incomplete and fails to pass user review.
Run the verify_topic_inclusion tool immediately after drafting your content list. It acts as a safety net, ensuring no mandatory subject gets left behind in the final sequence.
Making it sound hard
A writer tries to pad out a session with overly vague or complex-sounding concepts without actual measurable learning outcomes.
Use summarize_session_complexity. This tool gives you an objective score, telling you if your plan is actually balanced between foundational knowledge and advanced critical thinking.
When It Fits, When It Doesn't
Use this MCP if your goal is to validate the structure of learning content. You need to know not just what topics are covered, but how deeply they are tested across multiple cognitive levels (Knowledge, Comprehension, Application). This planner excels when you have a defined list of mandatory subjects and limited time. Don't use it if your problem is simply organizing notes or summarizing existing text; for that, a general document summarization tool works better. If you only need to check for topic coverage without worrying about depth, just run verify_topic_inclusion. But remember, the real power comes from running all three tools together: first checking inclusion, then generating the sequence, and finally scoring its complexity.
Questions you might have
How does generate_practice_sequence work? +
It takes your list of topics and builds an optimized sequence that forces learning to progress from simple definitions toward complex analyses. This ensures you build mastery, not just surface recall.
Is verify_topic_inclusion the first tool I should use? +
Yes. You should run verify_topic_inclusion first. It acts like a mandatory checklist, guaranteeing that every required concept is included before you build out the entire practice session.
What does summarize_session_complexity tell me? +
It gives you a score and summary of the plan's cognitive load. This tells you if your study material has enough high-level analysis mixed in with basic recall, ensuring balance.
Can I use generate_practice_sequence for non-academic topics? +
Absolutely. You can use it to structure training materials or corporate learning modules. Just treat your business skills as 'topics,' and the MCP will sequence them effectively.
What input structure does generate_practice_sequence require? +
You must provide a comma-separated list of topics and an integer representing your total study time in minutes. The tool needs these two inputs to calculate the optimal sequence.
How do I use verify_topic_inclusion after creating a plan? +
You pass the generated practice sequence output directly into the verify_topic_inclusion tool. It then checks that entire structured list against your required subject matter.
What happens if I provide conflicting or impossible topics to generate_practice_sequence? +
The function handles conflicts by returning a specific error message detailing the incompatible inputs or resource constraints. You must correct the data before retrying.
Does summarize_session_complexity only look at topic difficulty, or something else? +
It analyzes more than just topics; it assesses the overall balance of Bloom's Taxonomy levels included in the plan. This gives you a score indicating if your session is too basic or too advanced.
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