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Connect Context Window Optimizer 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. Keep your AI focused by trimming the noise from your context.

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 · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Context Window Optimizer.

  1. 01

    Evaluate selection efficiency

    Use this to measure how well your context was utilized compared to the total available token budget.

  2. 02

    Filter by relevance threshold

    This capability prunes your candidate list to strip out low-quality information before the optimization process begins.

  3. 03

    Select optimal context

    This capability picks the best set of context items for your prompt by balancing relevance, recency, and your specific token constraints.

Real work

What teams actually run

01

Long Document Analysis

Your agent selects the most relevant sections of a massive PDF to answer a specific question.

02

Chatbot Memory Management

The MCP keeps the most recent and relevant parts of a long conversation in the window.

03

Large Dataset Querying

You filter through thousands of data points to find the few that fit your token budget.

04

Agentic Workflows

Your agent uses the selection engine to decide which capabilities or data points to pull into its immediate focus.

One connector, every AI

Context Window Optimizer 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 Context Window Optimizer 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

885ms average. Fast in production.

Context Window Optimizer is checked daily against the live service.

Daily averagePeak 940ms
Oct 3Today
Fastest day
643ms
Slowest day
940ms
14-day trend
Stable+3%

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 Context Window Optimizer, so you can see the experience inside your AI.

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

Context Window Optimizer Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_YT9BcHeK3qV8GHjTDUXR83vcT9oI2MLYejbyO1oc/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 — Context Window Optimizer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "context-window-optimizer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_YT9BcHeK3qV8GHjTDUXR83vcT9oI2MLYejbyO1oc/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 Context Window Optimizer in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Context Window Optimizer owners hand off.

This is for developers and power users who build complex workflows where data volume exceeds model limits.

  • 01

    AI Engineers

    They hand off massive datasets to agents that need precise, filtered context.

  • 02

    Prompt Engineers

    They use this to manage token costs and prevent relevance decay in long prompts.

  • 03

    Workflow Automators

    They connect large data streams to AI clients without hitting overflow errors.

FAQ

Questions Context Window Optimizer owners ask.

  • 01

    How does this MCP prevent context overflow?

    It uses a greedy selection strategy to pick only the most relevant and recent items that fit within your defined token limit.

  • 02

    What is a greedy selection strategy?

    It is a method where the MCP picks the best available items one by one based on relevance scores until the token budget is met.

  • 03

    Can I use this with Cursor or Windsurf?

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

  • 04

    How do I know if my context is being used well?

    You can use the evaluate_selection_efficiency capability to see how effectively your context was utilized against your total budget.

  • 05

    Does this MCP host my data?

    No, Vinkius hosts the MCP itself, but the data you pass to it for optimization is processed as part of your prompt workflow.

  • 06

    How does the selection process work?

    The engine uses a deterministic greedy approach. It sorts all candidate items by relevance score (descending) and then by recency (descending), adding them to the selection until the token limit is reached.

  • 07

    Can I reserve specific messages?

    Yes, you can use select_optimal_context with the reserve_system_prompt or reserve_last_user_message flags to ensure critical information is always included.

  • 08

    What is the optimization score?

    The optimization score is a metric returned by the selection capability that represents the aggregate relevance of the items successfully selected within your budget.

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