
Connect Agent SLA Compliance Monitor 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. Get a deterministic score of system health and compliance.
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.

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.
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.
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.
01-03
3 capabilities in this set.
Part of 3 available through Agent SLA Compliance Monitor.
- 01
Get composite health score
Generates a single unified score representing the total system health
- 02
Analyze error budget
Determines the status of the error budget, including remaining capacity and burn rate
- 03
Calculate compliance metrics
Calculates core compliance percentages for latency, availability, and accuracy
Real work
What teams actually run
Post-Deployment Validation
After rolling out a new agent version, run this MCP to confirm that the new code hasn't violated any latency or availability SLAs.
Capacity Planning
Use the error budget analysis to determine if your current infrastructure capacity can handle projected traffic growth over the next quarter.
Incident Root Cause Analysis
When an outage occurs, use the compliance metrics to pinpoint whether the failure was due to latency spikes or accuracy drops.
Service Level Reporting
Generate reports for stakeholders by using the composite health score, providing a single, defensible metric of overall system health.
One connector, every AI
Agent SLA Compliance Monitor 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.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put Agent SLA Compliance Monitor 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
817ms average. Fast in production.
Agent SLA Compliance Monitor is checked daily against the live service.
- Fastest day
- 678ms
- Slowest day
- 986ms
- 14-day trend
- Slowing+18%
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 SLA Compliance Monitor, so you can see the experience inside your AI.
It does not authenticate your account with Agent SLA Compliance Monitor. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Agent SLA Compliance Monitor Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_1f6Hg88YFWPgJYUgtO4IXdbWaz0sHBa79xjcsnUx/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 SLA Compliance Monitor capabilities are ready to use.
{
"mcpServers": {
"agent-sla-compliance-monitor-mcp": {
"url": "https://edge.vinkius.com/vk_preview_1f6Hg88YFWPgJYUgtO4IXdbWaz0sHBa79xjcsnUx/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 SLA Compliance Monitor in Claude and other AIs
Who it's for
Built for the work Agent SLA Compliance Monitor owners hand off.
This MCP is essential for Site Reliability Engineers (SREs) and DevOps teams who need to prove system stability. If you manage autonomous agents or critical infrastructure, you need to know if your system is meeting its contractual performance goals. It gives you the hard numbers to justify architectural changes or flag immediate risks.
- 01
Site Reliability Engineer
You use this to monitor agent performance against strict SLAs and forecast when error budgets will run dry.
- 02
DevOps Engineer
You connect this to your CI/CD pipeline to validate system health immediately after a deployment.
- 03
QA Analyst
You use it to validate that new features maintain required levels of availability and accuracy.
FAQ
Questions Agent SLA Compliance Monitor owners ask.
- 01
What specific metrics does this MCP monitor?
It monitors three core compliance percentages: latency, availability, and accuracy. It also tracks the overall error budget and generates a composite health score.
- 02
Is this suitable for real-time monitoring?
Yes. It is designed to evaluate performance against predefined SLAs, giving you deterministic, real-time metrics on system health and compliance.
- 03
Does it just tell me if I passed or failed?
No. It goes deeper than pass/fail. It calculates the exact percentage of compliance and forecasts error budget exhaustion, telling you how close you are to failure.
- 04
Can I use this with different types of agents?
The MCP is designed for monitoring autonomous agent reliability, making it suitable for any system where performance is measured against a defined SLA.
- 05
How is the composite health score calculated?
The score is calculated as the geometric mean of all individual compliance percentages, such as those provided by get_composite_health_score.
- 06
What triggers an SLA violation flag?
A violation is flagged if any individual compliance percentage falls below 99% or if the error budget burn rate exceeds 2.0.
- 07
Can I use this with Cursor or Claude Desktop?
Yes, this MCP server can be connected to Cursor, Claude Desktop, VS Code, Windsurf, and any other MCP-compatible client via Vinkius Edge.
- 08
How is the composite SLA score calculated?
The composite score is derived from the geometric mean of all individual metric compliance percentages, including response time, availability, accuracy, and throughput.
- 09
Can I monitor different SLAs for different tenants?
Yes, the calculate_tenant_compliance capability supports multi-tenancy by evaluating metrics against specific targets provided for each unique tenant ID.
- 10
What defines a critical SLA violation?
A violation is classified as critical if any metric breaches its target by more than 5%.
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Connect Agent SLA Compliance Monitor to Claude, Cursor, ChatGPT & more
