Agent Error Recovery Rate Calculator Connector for AI agents.
3 live capabilities
Track failure recovery and error patterns in your agent logs
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Why people use Agent Error Recovery Rate Calculator
Agent Error Recovery Rate Calculator: Stop Manual Log Parsing
Move from a question to a useful Agent Error Recovery Rate Calculator result without breaking your flow.
What Vinkius changes
You stop guessing how resilient your workflows are.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Debugging a loop of failures
An engineer notices an agent is stuck and uses the MCP to see if it's actually recovering or just failing repeatedly.
- Real-world use case 02
Monitoring new agent deployments
After pushing a new version, you check the recovery rate to ensure transient errors aren't causing permanent breaks.
- Real-world use case 03
Auditing long-running workflows
You run a massive batch of tasks and use the capability to find which specific error signatures are most common across the set.
Complete set · 3capabilities
The complete Agent Error Recovery Rate Calculator capability set.
These are the exact actions your AI can choose when you ask it to work with Agent Error Recovery Rate Calculator.
01—03
3 capabilities in this set.
Part of 3 available through Agent Error Recovery Rate Calculator.
- 01 Capability
Calculate error distribution
Provides a breakdown of how many times specific errors occurred
- 02 Capability
Calculate resilience metrics
Computes the high-level performance ratios regarding reliability and recovery
- 03 Capability
Parse execution logs
Extracts a structured sequence of capability call outcomes and error types from raw text logs
Set up in minutes
One URL. Then ask Agent Error Recovery Rate Calculator to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Agent Error Recovery Rate Calculator 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_mxorvHJdMuypEudO4shEOhJsee7lRGYjbFo9FKjU/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 Agent Error Recovery Rate Calculator, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Agent Error Recovery Rate Calculator for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_mxorvHJdMuypEudO4shEOhJsee7lRGYjbFo9FKjU/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 Agent Error Recovery Rate Calculator URL.
- Step 03
Save and start
Save the connection and enable Agent Error Recovery Rate Calculator in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"agent-error-recovery-rate-calculator": {
"url": "https://edge.vinkius.com/vk_preview_mxorvHJdMuypEudO4shEOhJsee7lRGYjbFo9FKjU/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 Agent Error Recovery Rate Calculator
Open Agent mode in chat and ask: "Using Agent Error Recovery Rate Calculator, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"agent-error-recovery-rate-calculator": {
"url": "https://edge.vinkius.com/vk_preview_mxorvHJdMuypEudO4shEOhJsee7lRGYjbFo9FKjU/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 Agent Error Recovery Rate Calculator
Ask Copilot: "Using Agent Error Recovery Rate Calculator, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"agent-error-recovery-rate-calculator": {
"url": "https://edge.vinkius.com/vk_preview_mxorvHJdMuypEudO4shEOhJsee7lRGYjbFo9FKjU/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 Agent Error Recovery Rate Calculator
Open Cascade and ask: "Using Agent Error Recovery Rate Calculator, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"agent-error-recovery-rate-calculator": {
"url": "https://edge.vinkius.com/vk_preview_mxorvHJdMuypEudO4shEOhJsee7lRGYjbFo9FKjU/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 Agent Error Recovery Rate Calculator
Ask Cline: "Using Agent Error Recovery Rate Calculator, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add agent-error-recovery-rate-calculator --transport http "https://edge.vinkius.com/vk_preview_mxorvHJdMuypEudO4shEOhJsee7lRGYjbFo9FKjU/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 Agent Error Recovery Rate Calculator
Ask Claude: "Using Agent Error Recovery Rate Calculator, show me...". 3 tools are ready
Where the request belongs
Work Agent Error Recovery Rate Calculator can move forward.
This is for the engineers who spend their time debugging agentic loops and trying to figure out why a workflow died halfway through.
AI Engineer
Analyzing error signatures to improve prompt reliability and capability call accuracy.
DevOps Engineer
Monitoring agentic infrastructure for recurring timeouts or system-level failures.
LLM Ops Specialist
Quantifying the stability of production agents by tracking recovery rates over time.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Airbrake
Catch application errors in real time, track performance bottlenecks, and keep your codebase healthy with proactive monitoring.
Sentry
Monitor errors and application health via Sentry. query issues, inspect events, audit releases and check alert rules directly from any AI agent.
Honeybadger (Error Tracking)
Monitor app exceptions and uptime via Honeybadger. list projects, resolve faults, and track deployments.
Sumo Logic
Connect your AI to Sumo Logic. Orchestrate log searches, monitor active collectors, and analyze system events efficiently.
Dynatrace (APM and Observability)
Monitor and manage your Dynatrace environment. query metrics, track problems, manage entities, and automate observability workflows directly from your AI agent.
Bring your own AI
Change the model, client or framework. Keep Agent Error Recovery Rate Calculator 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 Agent Error Recovery Rate Calculator.
The practical details behind the request, access and result.
How does Agent Error Recovery Rate Calculator help with debugging?
It automates the math of finding how often your agent recovers from errors. Instead of counting lines, you get instant stats on recovery frequency and error types.
Can I use Agent Error Recovery Rate Calculator to find specific errors?
Yes. It extracts exact signatures like SyntaxError or Timeout so you can see exactly which issues are recurring in your logs.
Does Agent Error Recovery Rate Calculator work with Claude or Cursor?
Yes, it works with any MCP-compatible client including Claude, Cursor, and Windsurf.
What kind of logs does Agent Error Recovery Rate Calculator need?
It needs logs that use the 'SUCCESS:' and 'PREVIOUSLY FAILED:' format to accurately calculate your recovery metrics.
Will Agent Error Recovery Rate Calculator show me my success rate?
It specifically focuses on the recovery rate, which is how often a failure is followed by a success, helping you measure resilience.
What log format does the capability require?
The analyze_logs capability expects logs in two specific formats: 'SUCCESS: ' for successful operations and 'PREVIOUSLY FAILED: - ' to capture failures and their error signatures.
How is the recovery rate calculated?
The recovery rate is computed by identifying every instance where a 'SUCCESS' entry immediately follows a 'PREVIOUSLY FAILED' entry, then dividing that count by the total number of failures.
Can it detect specific error types?
Yes, the capability performs string matching to extract and count exact error signatures like 'Timeout', 'InvalidAPIKey', or 'SyntaxError' from your logs.
What can I calculate with this server?
You can calculate the success-to-failure ratio and the recovery rate percentage using calculate_resilience_metrics after parsing your logs.
How do I start analyzing my logs?
Start by using parse_execution_logs to convert your raw text logs into a structured format that the other capabilities can process.
What is a recovery rate?
The recovery rate is the percentage of capability call failures that are immediately followed by a successful capability call, indicating the agent's ability to self-correct.
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