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Connect Pedagogical Assessment Prover to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Stop generating lesson plans that fail basic learning science.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 1 capability

We ship only the actions that matter.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through Pedagogical Assessment Prover.

  1. 01

    Validate pedagogical assessment

    This capability audits your lesson plans, assessments, or instructional designs against established learning science frameworks. It checks for Bloom's alignment, rubric clarity, scaffolding depth, Hattie-style feedback, and potential cultural or linguistic bias.

Real work

What teams actually run

01

Lesson Plan Auditing

Check a new biology lesson plan to ensure the assessment actually tests the intended cognitive level.

02

Rubric Generation

Create behaviorally anchored rubrics that provide clear, measurable performance levels for students.

03

Scaffolding Design

Verify that a complex physics lesson includes the necessary prerequisite steps and multiple representations.

04

Bias Mitigation

Review science or social studies assessments to ensure they don't rely on specific cultural knowledge.

Automate a task

Put Pedagogical Assessment Prover to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Pedagogical Assessment Prover works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Pedagogical Assessment Prover to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

884ms average. Fast in production.

Pedagogical Assessment Prover is checked daily against the live service.

Daily averagePeak 1070ms
Oct 3Today
Fastest day
635ms
Slowest day
1070ms
14-day trend
Improving-19%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Pedagogical Assessment Prover, so you can see the experience inside your AI.

It does not authenticate your account with Pedagogical Assessment Prover. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Pedagogical Assessment Prover Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_UeUp8EssFpuILTSEeOoXEkZc4SyrBn8H3T9iKl17/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Pedagogical Assessment Prover capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "pedagogical-assessment-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_UeUp8EssFpuILTSEeOoXEkZc4SyrBn8H3T9iKl17/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Pedagogical Assessment Prover in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Pedagogical Assessment Prover owners hand off.

This MCP is built for educators and instructional designers who need to move beyond generic AI-generated content toward scientifically sound curriculum.

  • 01

    Instructional Designers

    You hand off curriculum drafts to the MCP to ensure they meet UDL and Bloom's standards.

  • 02

    K-12 Teachers

    You use it to verify that your lesson plans and rubrics are actually measurable and fair.

  • 03

    Curriculum Developers

    You use the capability to audit large-scale educational interventions for structural pedagogical flaws.

FAQ

Questions Pedagogical Assessment Prover owners ask.

  • 01

    What is an unobservable verb in pedagogy?

    Verbs like 'understand' are unobservable because you cannot see or measure the act of understanding. The MCP forces the use of observable Bloom's verbs like 'evaluate' or 'analyze' instead.

  • 02

    How does this MCP help with student feedback?

    It ensures feedback follows the Hattie and Timperley model, which includes Feed Up, Feed Back, and Feed Forward. This moves away from empty praise toward actionable, task-specific guidance.

  • 03

    Can I use this with Claude or Cursor?

    Yes, this MCP is compatible with any MCP-compatible client including Claude, Cursor, and Windsurf.

  • 04

    What is a scaffolding gap?

    A scaffolding gap occurs when instruction assumes knowledge the student doesn't have. The MCP checks for prerequisite mapping and the 'I do, We do, You do' model to prevent this.

  • 05

    Does this capability check for bias?

    Yes, it performs a structured audit for cultural relevance, linguistic accessibility, and UDL compliance to ensure assessments are fair to all learners.

  • 06

    How does the prover measure alignment with Bloom's Taxonomy?

    By verifying that learning objectives use observable verbs at the same cognitive level as the assessment tasks. It rejects unmeasurable verbs like 'understand' or 'appreciate'.

  • 07

    What are the scaffolding requirements?

    It demands a clear plan for diagnosing prior knowledge, sequencing prerequisite concepts, and scaffolded instruction models (like the Graduated Release of Responsibility) rather than just giving extra practice sheets.

  • 08

    How does it detect and audit for bias?

    It scans assessment descriptions and rubrics for cultural assumptions, language barriers, and accessibility issues, ensuring compliance with Universal Design for Learning (UDL) principles.

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