What is 'context window' in this context?

The context window is the total amount of information (tokens) your AI model can remember and process in a single conversation turn. If the conversation exceeds this limit, the model forgets the beginning of the chat.

Does this MCP fix my token limits?

No. This MCP doesn't increase your model's hard token limit. Instead, it gives your agent the capabilities to manage the existing limit by identifying when and how to compress or summarize history.

What is 'fragmentation' and why should I care?

Fragmentation measures how much capability usage disrupts the natural flow of dialogue. A high fragmentation ratio means your agent is spending too much context space on capability metadata rather than actual conversation.

Is this only for large language models?

This MCP is designed for any AI client that processes conversations using token limits, making it useful for any agent that needs long-term memory.

How often should I run the context checks?

You should integrate the context checks into your agent's core loop. Running calculate_remaining_context at the start of every major step is best practice.

How does the system calculate remaining tokens?

The calculate_remaining_context capability subtracts system prompts, capability definitions, conversation history, and multimodal tiles from the total window size.

What is context fragmentation?

Fragmentation is the ratio of tokens used by capability calls and outputs compared to the actual conversational text. You can monitor this with analyze_fragmentation.

When should I trigger a compression event?

A compression event is recommended when usage reaches the Yellow Tier (70-80%) and is mandatory at the Orange Tier (80-95%).

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Connect Agent Context Window Manager 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 long-running AI conversations efficient and stable.

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.

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.

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 Agent Context Window Manager.

01
Analyze fragmentation
02
Calculate remaining context
03
Plan compression

Real work

What teams actually run

Multi-day Customer Support Bot

The agent handles a customer's issue over several days. This MCP tracks token usage to ensure the history remains available without hitting limits.

Research Assistant Agent

The agent reads dozens of documents and performs multiple analysis steps. It uses context monitoring to manage the massive input data.

Complex Workflow Automation

The agent executes a sequence of 10+ capability calls (e.g., booking, checking inventory, sending emails). It analyzes fragmentation to keep the process efficient.

Long-Form Content Drafting

The agent drafts a book chapter or white paper over many prompts. It uses compression planning to summarize earlier sections and keep the context fresh.

One connector, every AI

Agent Context Window Manager 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.

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

You don't need a client to put Agent Context Window Manager 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

881ms average. Fast in production.

Agent Context Window Manager is checked daily against the live service.

Daily averagePeak 969ms

Oct 3Today

Fastest day: 623ms
Slowest day: 969ms
14-day trend: Stable+4%

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

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

Agent Context Window Manager Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_BPghAk5oXGL3BsDHMefc5S6Sn9VO570vQFs9Cbiv/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — Agent Context Window Manager capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "agent-context-window-manager-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_BPghAk5oXGL3BsDHMefc5S6Sn9VO570vQFs9Cbiv/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 Agent Context Window Manager in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Agent Context Window Manager owners hand off.

This MCP is essential for developers and prompt engineers building complex, multi-step AI agents. If your agent needs to maintain context over long periods, this capability keeps the conversation healthy. You hand off the context management to the AI, letting it worry about token limits and efficiency.

01
AI Developer
Builds agents that run for extended periods, needing reliable context management.
02
Prompt Engineer
Designs complex conversational flows that must maintain coherence over many turns.
03
AI Architect
Designs the overall structure of systems that rely on continuous, long-term AI interaction.

FAQ

Questions Agent Context Window Manager owners ask.

01
What is 'context window' in this context?
The context window is the total amount of information (tokens) your AI model can remember and process in a single conversation turn. If the conversation exceeds this limit, the model forgets the beginning of the chat.
02
Does this MCP fix my token limits?
No. This MCP doesn't increase your model's hard token limit. Instead, it gives your agent the capabilities to manage the existing limit by identifying when and how to compress or summarize history.
03
What is 'fragmentation' and why should I care?
Fragmentation measures how much capability usage disrupts the natural flow of dialogue. A high fragmentation ratio means your agent is spending too much context space on capability metadata rather than actual conversation.
04
Is this only for large language models?
This MCP is designed for any AI client that processes conversations using token limits, making it useful for any agent that needs long-term memory.
05
How often should I run the context checks?
You should integrate the context checks into your agent's core loop. Running calculate_remaining_context at the start of every major step is best practice.
06
How does the system calculate remaining tokens?
The calculate_remaining_context capability subtracts system prompts, capability definitions, conversation history, and multimodal tiles from the total window size.
07
What is context fragmentation?
Fragmentation is the ratio of tokens used by capability calls and outputs compared to the actual conversational text. You can monitor this with analyze_fragmentation.
08
When should I trigger a compression event?
A compression event is recommended when usage reaches the Yellow Tier (70-80%) and is mandatory at the Orange Tier (80-95%).

Explore

More in Utilities

Connect Agent Context Window Manager to Claude, Cursor, ChatGPT & more

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

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-03

Analyze fragmentation

Calculate remaining context

Plan compression

What teams actually run

Multi-day Customer Support Bot

Research Assistant Agent

Complex Workflow Automation

Long-Form Content Drafting

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

Agent Context Window Manager Connector

Claude Desktop

AI Developer

Prompt Engineer

AI Architect

What is 'context window' in this context?

Does this MCP fix my token limits?

What is 'fragmentation' and why should I care?

Is this only for large language models?

How often should I run the context checks?

How does the system calculate remaining tokens?

What is context fragmentation?

When should I trigger a compression event?

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