Use Agent Error Propagation Tracker with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Pinpoint the root cause and measure system impact instantly.
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 Error Propagation Tracker capability set.
These are the exact actions your AI can choose when you ask it to work with Agent Error Propagation Tracker.
01-03
3 capabilities in this set.
Part of 3 available through Agent Error Propagation Tracker.
- 01
Analyze error chain
Identifies the specific sequence of errors forming a causal chain and finds the original culprit
- 02
Calculate impact metrics
Quantifies the severity and spread of an error event
- 03
Evaluate resilience
Determines how well agents recover from failures and how many are failing due to cascades
Observed, not estimated
824ms average. Fast in production.
Agent Error Propagation Tracker is checked daily against the live service.
- Fastest day
- 642ms
- Slowest day
- 1092ms
- 14-day trend
- Slowing+25%
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 Error Propagation Tracker, so you can see the experience inside your AI.
It does not authenticate your account with Agent Error Propagation Tracker. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Agent Error Propagation Tracker Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_nOBIfw2DqIbOibYJWfEJyNONw32DUzm7lpya1YxK/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 Error Propagation Tracker capabilities are ready to use.
{
"mcpServers": {
"agent-error-propagation-tracker-mcp": {
"url": "https://edge.vinkius.com/vk_preview_nOBIfw2DqIbOibYJWfEJyNONw32DUzm7lpya1YxK/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 Error Propagation Tracker owners hand off.
This MCP is essential for Site Reliability Engineers (SREs) and DevOps teams managing complex, distributed, or multi-agent systems. If your architecture relies on many interconnected services, you need a way to diagnose failures that span multiple components. It gives you the deep visibility required to move beyond guesswork and fix the actual systemic weaknesses.
- 01
SRE
Use it to trace error flows through dependency chains and calculate critical impact metrics like blast radius.
- 02
DevOps Engineer
Run diagnostics to find the root cause of a failure sequence and assess system resilience after an incident.
- 03
Software Architect
Evaluate the overall robustness of your multi-agent design and identify points of failure before they hit production.
FAQ
Questions Agent Error Propagation Tracker owners ask.
- 01
What kind of systems is this MCP best for?
It's built for multi-agent and distributed systems. If your application relies on multiple interconnected services or agents that pass data to each other, this MCP provides the necessary diagnostic depth.
- 02
Does this just tell me which service failed?
No. It goes deeper than that. It traces the entire error propagation, identifying the original culprit and calculating the full impact, like the blast radius, which is much more useful for root cause analysis.
- 03
Can I use this with my existing logging capabilities?
Yes. You feed the logs or failure context into the MCP. It processes the data to give you a structured diagnosis, allowing your agent to understand the failure sequence.
- 04
Is this for single-agent or multi-agent systems?
It's designed for multi-agent environments. It specifically tracks how errors propagate across multiple, dependent components, which is key for complex architectures.
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