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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Memory Context Window Pruner with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Manage LLM conversation history by applying deterministic pruning strategies to prevent context window overflow.

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 Window Pruner capability set.

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

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Memory Context Window Pruner.

  1. 01

    Estimate token usage

    Calculates the cumulative token impact of a message history

  2. 02

    Prune history

    Executes a specific pruning strategy on a list of messages to reduce the total token count

  3. 03

    Validate strategy constraints

    Checks if a specific pruning configuration is logically sound before execution

Observed, not estimated

812ms average. Fast in production.

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

Daily averagePeak 961ms
Aug 20Today
Fastest day
646ms
Slowest day
961ms
14-day trend
Improving-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 Window Pruner, so you can see the experience inside your AI.

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

Memory Context Window Pruner Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_7axJrUJdLscsn1NJUQ6AtdZlF7EKsqrmpd776fMB/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 Window Pruner capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "memory-context-window-pruner-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_7axJrUJdLscsn1NJUQ6AtdZlF7EKsqrmpd776fMB/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 Window Pruner owners ask.

  • 01

    What is the purpose of this MCP?

    It helps prevent LLM context window overflow by providing deterministic ways to prune message history.

  • 02

    How do I know how many tokens I am using?

    You can use the estimate_token_usage capability to calculate the cumulative token impact of your message list.

  • 03

    Can I validate my pruning strategy before applying it?

    Yes, the validate_strategy_constraints capability allows you to check if a pruning configuration is logically sound.

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