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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Memory Context Priority Pruner with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Deterministic context window management by prioritizing essential and high-relevance messages.

Included with plan

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

Complete set · 3 capabilities

The complete Memory Context Priority Pruner capability set.

These are the exact actions your AI can choose when you ask it to work with Memory Context Priority Pruner.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Memory Context Priority Pruner.

  1. 01

    Predict pruning impact

    Predicts the impact of a pruning strategy

  2. 02

    Analyze context density

    Analyzes the distribution of tokens across message tiers

  3. 03

    Execute context reduction

    Performs the actual removal of messages to fit within budget

Observed, not estimated

630ms average. Fast in production.

Memory Context Priority Pruner is checked daily against the live service.

Daily averagePeak 845ms
Aug 20Today
Fastest day
524ms
Slowest day
845ms
14-day trend
Slowing+7%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive 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 Memory Context Priority Pruner, so you can see the experience inside your AI.

It does not authenticate your account with Memory Context Priority Pruner. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Memory Context Priority Pruner Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_wn6QQ6MBDELDQuy390LTPIrEYUANWateQNUsl4sW/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 — Memory Context Priority Pruner capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "memory-context-priority-pruner-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_wn6QQ6MBDELDQuy390LTPIrEYUANWateQNUsl4sW/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

FAQ

Questions Memory Context Priority Pruner owners ask.

  • 01

    What makes the pruning process deterministic?

    The process follows strict, unchangeable rules: it always preserves system messages and the first user message, protects a recent buffer of N messages, and then selects middle messages based on their relevance score until the token budget is reached.

  • 02

    How can I see how much space my current conversation is using?

    You can use the analyze_context_density capability. It will break down your message list into immutable, buffer, and prunable token counts.

  • 03

    Can I simulate a pruning run before actually deleting messages?

    Yes, the predict_pruning_impact capability allows you to estimate how many tokens will be saved and what information will remain without modifying your actual message list.

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