Context Window Optimizer Connector for AI agents.
3 live capabilities
Manage token limits and maximize prompt relevance
Waiting for input…
Why people use Context Window Optimizer
Stop token overflow with Context Window Optimizer
This MCP changes that. Instead of brute-forcing your way through token limits, you let the agent intelligently curate its own memory. You get a streamlined, high-density prompt that hits the sweet spot of relevance and brevity. It turns a messy pile of data into a sharp, focused instruction set.
What Vinkius changes
That your agent gets exactly the information it needs to act, without the bloat.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Long-running research tasks
An agent researching a topic for hours accumulates massive logs.
- Real-world use case 02
Multi-turn customer support
A support agent needs to remember the user's problem without re-reading a 50-message transcript every time.
- Real-world use case 03
Complex coding workflows
When an agent is working across dozens of files, use this to feed it only the relevant code snippets instead of the whole repo.
Complete set · 3capabilities
The complete Context Window Optimizer capability set.
These are the exact actions your AI can choose when you ask it to work with Context Window Optimizer.
01—03
3 capabilities in this set.
Part of 3 available through Context Window Optimizer.
- 01 Capability
Evaluate selection efficiency
Measures how effectively the context was utilized relative to the total available budget
- 02 Capability
Filter by relevance threshold
Prunes the candidate list to remove low-quality information before performing the optimization
- 03 Capability
Select optimal context
Picks the best pieces of information to fit your token limit. It maximizes relevance so your agent doesn't miss the point.
Set up in minutes
One URL. Then ask Context Window Optimizer to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Context Window Optimizer from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_YT9BcHeK3qV8GHjTDUXR83vcT9oI2MLYejbyO1oc/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Context Window Optimizer, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Context Window Optimizer for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_YT9BcHeK3qV8GHjTDUXR83vcT9oI2MLYejbyO1oc/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Context Window Optimizer URL.
- Step 03
Save and start
Save the connection and enable Context Window Optimizer in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"context-window-optimizer": {
"url": "https://edge.vinkius.com/vk_preview_YT9BcHeK3qV8GHjTDUXR83vcT9oI2MLYejbyO1oc/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Context Window Optimizer
Open Agent mode in chat and ask: "Using Context Window Optimizer, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"context-window-optimizer": {
"url": "https://edge.vinkius.com/vk_preview_YT9BcHeK3qV8GHjTDUXR83vcT9oI2MLYejbyO1oc/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Context Window Optimizer
Ask Copilot: "Using Context Window Optimizer, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"context-window-optimizer": {
"url": "https://edge.vinkius.com/vk_preview_YT9BcHeK3qV8GHjTDUXR83vcT9oI2MLYejbyO1oc/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Context Window Optimizer
Open Cascade and ask: "Using Context Window Optimizer, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"context-window-optimizer": {
"url": "https://edge.vinkius.com/vk_preview_YT9BcHeK3qV8GHjTDUXR83vcT9oI2MLYejbyO1oc/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Context Window Optimizer
Ask Cline: "Using Context Window Optimizer, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add context-window-optimizer --transport http "https://edge.vinkius.com/vk_preview_YT9BcHeK3qV8GHjTDUXR83vcT9oI2MLYejbyO1oc/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Context Window Optimizer
Ask Claude: "Using Context Window Optimizer, show me...". 3 tools are ready
Where the request belongs
Work Context Window Optimizer can move forward.
This is for developers and engineers building autonomous agents that handle large datasets or long-running conversations.
AI Engineer
Managing token costs and context overflow in production agent workflows.
LLM Developer
Fine-tuning how much information an agent needs to solve a specific problem.
Workflow Automation Specialist
Building complex multi-step processes that require consistent agent memory.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsReceiving Dock Capacity Calculator
Analyze dock capacity, identify throughput bottlenecks, and optimize docking infrastructure.
Subscription Cashflow Aligner
Find the safest day of the month to set subscription billing dates and minimize overdrafts.
First-Fit Decreasing Cutter
Optimize material usage by calculating the most efficient cutting plans for raw stock.
Claude Verbosity Optimizer
A deterministic engine to detect and compress verbose LLM outputs to preserve context window budget.
X Ads (Twitter)
Connect your X Ads account to any AI agent. audit campaigns, analyze line item performance, and pull engagement reports through natural conversation.
Box
Store, share, and collaborate on files securely with enterprise-grade cloud content management and governance controls.
Bring your own AI
Change the model, client or framework. Keep Context Window Optimizer connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Context Window Optimizer.
The practical details behind the request, access and result.
How does Context Window Optimizer help with token costs?
It reduces the number of tokens you send to your AI client by filtering out irrelevant data. Fewer tokens mean lower costs for every request your agent makes.
Can I use Context Window Optimizer with Claude or Cursor?
Yes. Since it follows the standard protocol, you can connect it to any compatible client like Claude, Cursor, or Windsurf through Vinkius.
Will this make my AI agent smarter?
It makes your agent more focused. By removing noise and keeping only relevant, recent information, the agent is less likely to get confused or hallucinate.
Does Context Window Optimizer replace RAG?
Not exactly. RAG finds the data, while this MCP optimizes the specific pieces of data you've already found to ensure they fit perfectly into the prompt.
How does it decide what information is important?
It uses a mathematical approach that looks at how relevant a piece of information is to your goal and how recently it happened, ensuring the most useful data stays in the window.
How does the selection process work?
The process uses select_optimal_context to sort items by relevance score and recency, then greedily adds them until the token limit is reached.
Can I reserve specific messages?
Yes, you can use the reservation rules in select_optimal_context to ensure the system prompt and the last user message are always included.
How do I measure if my context is efficient?
You can use the evaluate_context_efficiency capability to get a report on utilization ratio, density score, and coverage gap.
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.
One connection away
Give your agent a direct line to Context Window Optimizer.
Connect Context Window Optimizer once. Keep it beside 6,100+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available