COO Operations Prover Connector for AI agents.
1 live capability
Validate infrastructure plans with hard capacity data and failure isolation limits.
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Why people use COO Operations Prover
COO Operations Prover: Validating Infrastructure Readiness
This Connector breaks that cycle by forcing your AI client to act like a wartime COO. It demands numbers, not adjectives. You get a verdict matrix that tells you exactly where your plan is weak before you spend a dime on infrastructure.
What Vinkius changes
You get a battle-tested operational blueprint instead of a list of aspirations.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Scaling a high-traffic API
An engineer asks the agent to plan for 10k req/s.
- Real-world use case 02
Reviewing a new cloud migration
A manager wants to save costs.
- Real-world use case 03
Designing a multi-tenant database
The agent proposes a shared pool.
Complete set · 1capability
The complete COO Operations Prover capability set.
These are the exact actions your AI can choose when you ask it to work with COO Operations Prover.
01
1 capability in this set.
Part of 1 available through COO Operations Prover.
- 01 Capability
Validate coo operations
Validates an operational plan against five axes including capacity, failure isolation, cost, process, and accountability. It returns a verdict matrix highlighting specific operational gaps.
Set up in minutes
One URL. Then ask COO Operations Prover to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use COO Operations Prover 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_k2p6ROIYAs0oOHDMZETbyPYeuNhOK8Zt670VqgWO/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 COO Operations Prover, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable COO Operations Prover for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_k2p6ROIYAs0oOHDMZETbyPYeuNhOK8Zt670VqgWO/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 COO Operations Prover URL.
- Step 03
Save and start
Save the connection and enable COO Operations Prover in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"coo-operations-prover": {
"url": "https://edge.vinkius.com/vk_preview_k2p6ROIYAs0oOHDMZETbyPYeuNhOK8Zt670VqgWO/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 COO Operations Prover
Open Agent mode in chat and ask: "Using COO Operations Prover, help me...". 1 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"coo-operations-prover": {
"url": "https://edge.vinkius.com/vk_preview_k2p6ROIYAs0oOHDMZETbyPYeuNhOK8Zt670VqgWO/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 COO Operations Prover
Ask Copilot: "Using COO Operations Prover, help me...". 1 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"coo-operations-prover": {
"url": "https://edge.vinkius.com/vk_preview_k2p6ROIYAs0oOHDMZETbyPYeuNhOK8Zt670VqgWO/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 COO Operations Prover
Open Cascade and ask: "Using COO Operations Prover, help me...". 1 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"coo-operations-prover": {
"url": "https://edge.vinkius.com/vk_preview_k2p6ROIYAs0oOHDMZETbyPYeuNhOK8Zt670VqgWO/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 COO Operations Prover
Ask Cline: "Using COO Operations Prover, help me...". 1 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add coo-operations-prover --transport http "https://edge.vinkius.com/vk_preview_k2p6ROIYAs0oOHDMZETbyPYeuNhOK8Zt670VqgWO/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 COO Operations Prover
Ask Claude: "Using COO Operations Prover, show me...". 1 tools are ready
Where the request belongs
Work COO Operations Prover can move forward.
This is for the infrastructure lead who is tired of seeing best effort SLAs and the operations manager who needs to prove to the board that the system won't collapse under 10x load.
Infrastructure Engineer
Validates system designs against real-world failure modes before a single line of code is deployed.
Operations Manager
Audits internal SOPs to ensure exception rates stay below 5% and leverage is actually increasing.
CTO or COO
Gets a Proven verdict on high-stakes scaling plans to ensure they won't blow the budget or the uptime.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsEstimation Prover
An AI estimated a database migration at 2 weeks. It took 11 weeks, cost $340K in delayed revenue, and left 3 engineers stuck in feature freeze. The estimate had no scope decomposition, no unknowns identified, no historical precedent, and no buffer. This capability forces granular scope breakdown, explicit unknown quantification, precedent mapping, and realistic buffer calculation before any timeline is committed.
Delivery Integrity Prover
Forces AI agents to reflect on task execution, matching prompt requirements to actual changes, verifying logs, and declaring gaps before claiming completion.
Product Discovery Prover
Block engineering waste. This gatekeeper demands hard data, behavioral segments, and proven willingness-to-pay before a single line of code is written.
CTO Architect Prover
An AI proposed Kubernetes for 50 users, says 'use HTTPS' as a security strategy, and plans database migrations during maintenance windows. That is not architecture. that is Resume-Driven Development. This capability forces five CTO-level architectural axes: stack fitness, failure tolerance, security hardening, migration safety, and observability.
Multi-Agent Orchestrator Prover
An AI designed a multi-agent system where agents 'work together seamlessly,' data 'flows naturally between them,' and failures 'self-heal.' Three days later, Agent B crashed and the pipeline froze for 14 hours. no one knew because there was no tracing. That is not orchestration. that is hope with a tech stack. This capability forces five orchestration axes: role boundaries, handoff protocols, failure containment, consensus mechanisms, and distributed tracing.
Scope Containment Prover
AIs over-engineer everything. This engine is a 6-pivot cognitive trap that forces the LLM to apply YAGNI, reject premature optimization, and define the absolute minimum viable product.
Bring your own AI
Change the model, client or framework. Keep COO Operations Prover connected.
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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 COO Operations Prover.
The practical details behind the request, access and result.
What does the COO Operations Prover do for my infrastructure?
It validates your plans against five operational axes to ensure they won't fail under load. It forces your agent to move past vague promises and provide hard data on capacity, costs, and reliability.
How does this help with scaling?
It forces the AI to model actual arrival rates and service rates instead of just saying we will scale. This ensures your infrastructure can actually handle the traffic you expect.
Can it help with cost management?
Yes, it requires proof of cost leverage at three different scale points to avoid cost delusion. It makes sure your plan actually shows decreasing per-unit costs as you grow.
What is a Contagion Risk in this context?
It is the risk of one failure cascading everywhere. The capability forces you to define bulkheads and blast radius limits so that a single shard failure doesn't take down your entire system.
Is this for high-level project planning?
No, it is for deep operational readiness. It focuses on capacity, cost, and reliability metrics. It is designed to catch fatal gaps in system design before they hit production.
How do I know if my plan is actually good?
The Connector provides a Verdict Matrix that names the exact operational axis where your plan is currently failing. This tells you exactly what to fix to reach a proven status.
Why does it reject 'we will scale as needed'?
'We will scale' is hope, not a capacity model. A wartime COO demands numbers: arrival rate (1,200 req/s), service rate (1,800 req/s across 6 workers), utilization (67%), and queue drain behavior under burst (200ms p99). Without these numbers, you do not know when the system saturates. 'Auto-scale' is not modeling. it is outsourcing the thinking to the cloud provider.
Why does it demand cost at 3 data points?
Because 'economies of scale' is a claim. not proof. Anyone can say costs decrease at scale. Proof means showing per-unit cost at 3 specific volume points: '$0.12/user at 10K, $0.04/user at 100K, $0.008/user at 1M.' And naming the mechanism: shared compute amortization, committed use discounts, CDN cache hit ratio. If the cost per unit stays flat, you have a service agency, not a platform.
What is 'Accountability Theater'?
It is when you write an SLA that says '99.9% uptime' but the consequence for missing it is 'we will investigate.' That is a press release, not accountability. SRE error budgets require automated penalties: if the error budget burns (43.8 minutes/month for 99.9%), feature deploys freeze automatically until reliability recovers. 'Best effort' is the opposite of a mechanism.
One connection away
Give your agent a direct line to COO Operations Prover.
Connect COO Operations Prover once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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