Use Agent Memory Tier Calculator with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Pinpoint memory bottlenecks and boost retrieval performance.
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.
Complete set · 3 capabilities
The complete Agent Memory Tier Calculator capability set.
These are the exact actions your AI can choose when you ask it to work with Agent Memory Tier Calculator.
01-03
3 capabilities in this set.
Part of 3 available through Agent Memory Tier Calculator.
- 01
Calculate memory lifecycle
Determines specific movements and current state of all memory tiers
- 02
Optimize working memory
Recommends the ideal Working Memory size
- 03
Simulate retrieval performance
Evaluates the efficiency of the current memory configuration
Observed, not estimated
861ms average. Fast in production.
Agent Memory Tier Calculator is checked daily against the live service.
- Fastest day
- 679ms
- Slowest day
- 1079ms
- 14-day trend
- Slowing+24%
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 Memory Tier Calculator, so you can see the experience inside your AI.
It does not authenticate your account with Agent Memory Tier Calculator. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Agent Memory Tier Calculator Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_VjXg1lmsFMEFMjb9yRqgsOO6gwn4M5LRWbqCt3Ir/mcpClaude 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 Memory Tier Calculator capabilities are ready to use.
{
"mcpServers": {
"agent-memory-tier-calculator-mcp": {
"url": "https://edge.vinkius.com/vk_preview_VjXg1lmsFMEFMjb9yRqgsOO6gwn4M5LRWbqCt3Ir/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
Who it's for
Built for the work Agent Memory Tier Calculator owners hand off.
This MCP is built for AI architects and ML engineers who aren't satisfied with basic agent functionality. If your agent needs to maintain context over long periods or handle complex data flows, you'll need this level of memory control. It gives you the deterministic data needed to tune performance.
- 01
AI Architect
Designs the overall system structure, using this MCP to model and predict memory bottlenecks across the entire agent pipeline.
- 02
ML Engineer
Implements the memory management logic, using the capabilities to calculate optimal capacity and test retrieval efficiency.
- 03
Prompt Engineer
Tuning complex prompts that rely on long-term context, using the lifecycle capability to ensure context isn't lost or misrepresented.
FAQ
Questions Agent Memory Tier Calculator owners ask.
- 01
What is the difference between Working and Short-Term Memory in this MCP?
The MCP models these as distinct tiers. Working Memory handles immediate, active context, while Short-Term Memory holds recently used, but not immediately active, information. The capability tracks the flow between them.
- 02
Can this MCP fix my agent's memory problems?
It doesn't fix the code, but it gives you the data to fix it. You use the capabilities to diagnose memory bottlenecks and calculate the precise changes needed to improve performance.
- 03
Does this MCP require me to manage credentials?
No. Vinkius hosts and manages this MCP. You connect your client once, and you get access to the entire calculator through the catalog.
- 04
What does 'thrashing risk' mean in the context of this capability?
Thrashing risk means the memory system is spending too much time moving data between tiers rather than processing it. The lifecycle capability detects this pattern, alerting you to potential instability.
- 05
Is this only for large language models?
No. This MCP is a deterministic engine for memory management. It applies to any agentic system that uses tiered memory hierarchies, regardless of the underlying LLM.
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