Error Classifier and Router Connector for AI agents.
3 live capabilities
Automate error recovery and agent reliability
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Why people use Error Classifier and Router
Fixing agent reliability with Error Classifier and Router
This MCP changes the workflow. Instead of writing custom error logic for every single capability, you feed the error into a system that understands exactly what happened. It tells your agent whether to wait, try again, or stop entirely. You move from reactive debugging to proactive, automated recovery.
What Vinkius changes
That it turns chaotic error messages into a clear roadmap for recovery.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Handling API Rate Limits
When an LLM API returns a 429 error, the agent uses the MCP to identify the rate limit and waits for the correct backoff period before trying again.
- Real-world use case 02
Managing capability Timeouts
If a web search capability hangs, the agent checks if it's allowed to retry once before deciding to report a failure.
- Real-world use case 03
Automating Re-authentication
When a capability returns an auth error, the agent recognizes the need to prompt the user for new credentials rather than retrying a dead connection.
Complete set · 3capabilities
The complete Error Classifier and Router capability set.
These are the exact actions your AI can choose when you ask it to work with Error Classifier and Router.
01—03
3 capabilities in this set.
Part of 3 available through Error Classifier and Router.
- 01 Capability
Classify error
Analyzes a specific error signal to categorize it. It identifies the error type and the best way to recover.
- 02 Capability
Get recovery strategy
Retrieves the high-level strategy for a specific error category. It tells the agent exactly how to handle the failure.
- 03 Capability
Validate retry eligibility
Checks if a retry is permitted. It looks at current attempt counts to prevent infinite loops.
Set up in minutes
One URL. Then ask Error Classifier and Router to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Error Classifier and Router 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_bFJhrD9k8LOWfWdsWn2VW7wLo36MxtockZY8byJc/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 Error Classifier and Router, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Error Classifier and Router for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_bFJhrD9k8LOWfWdsWn2VW7wLo36MxtockZY8byJc/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 Error Classifier and Router URL.
- Step 03
Save and start
Save the connection and enable Error Classifier and Router in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"error-classifier-and-router": {
"url": "https://edge.vinkius.com/vk_preview_bFJhrD9k8LOWfWdsWn2VW7wLo36MxtockZY8byJc/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 Error Classifier and Router
Open Agent mode in chat and ask: "Using Error Classifier and Router, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"error-classifier-and-router": {
"url": "https://edge.vinkius.com/vk_preview_bFJhrD9k8LOWfWdsWn2VW7wLo36MxtockZY8byJc/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 Error Classifier and Router
Ask Copilot: "Using Error Classifier and Router, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"error-classifier-and-router": {
"url": "https://edge.vinkius.com/vk_preview_bFJhrD9k8LOWfWdsWn2VW7wLo36MxtockZY8byJc/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 Error Classifier and Router
Open Cascade and ask: "Using Error Classifier and Router, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"error-classifier-and-router": {
"url": "https://edge.vinkius.com/vk_preview_bFJhrD9k8LOWfWdsWn2VW7wLo36MxtockZY8byJc/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 Error Classifier and Router
Ask Cline: "Using Error Classifier and Router, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add error-classifier-and-router --transport http "https://edge.vinkius.com/vk_preview_bFJhrD9k8LOWfWdsWn2VW7wLo36MxtockZY8byJc/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 Error Classifier and Router
Ask Claude: "Using Error Classifier and Router, show me...". 3 tools are ready
Where the request belongs
Work Error Classifier and Router can move forward.
This is for developers and engineers building autonomous agents that need to run reliably in production environments without constant human oversight.
AI Engineer
Building agentic loops that need to handle API instability and capability failures gracefully.
LLM Ops Engineer
Managing the reliability and error-handling logic of large-scale model deployments.
Backend Developer
Integrating LLM-based capabilities into existing software where error recovery must be deterministic.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Prevent cascading failures by monitoring consecutive errors and managing execution permissions.
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Bring your own AI
Change the model, client or framework. Keep Error Classifier and Router 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 Error Classifier and Router.
The practical details behind the request, access and result.
How does the Error Classifier and Router MCP help with agent reliability?
It provides a structured way for your agent to understand errors. Instead of seeing a random error string, the agent gets a specific category and a clear instruction on how to recover, preventing crashes and infinite loops.
Can I use Error Classifier and Router to prevent infinite loops in Claude?
Yes. By using the retry eligibility check, your agent can track how many times it has attempted a task and decide to stop once it hits a certain threshold, preventing it from wasting resources.
Does the Error Classifier and Router MCP work with any capability?
It works with any capability or API that returns an error signal. It's designed to translate those signals into a format your agent can act upon, regardless of the specific service being used.
How do I handle rate limits using Error Classifier and Router?
When a rate limit occurs, the MCP identifies the error and recommends a backoff strategy. This allows your agent to wait the appropriate amount of time before trying again automatically.
Is the Error Classifier and Router MCP easy to set up in Cursor?
Yes, you can connect it through Vinkius. Once connected, your agent in Cursor can immediately start using the error classification capabilities to handle failures during code execution or capability use.
How does the error classification work?
The system uses exact string and integer matching on error codes and keyword detection in error messages to map them to categories like rate_limit or auth_failure.
Can I use this to automate retries?
Yes. By using validate_retry_eligibility, your agent can determine if it is allowed to retry an operation and how long it should wait.
What happens if an error is not recognized?
If the errorCode does not match any known pattern in the taxonomy, the classify_error capability will throw an error.
One connection away
Give your agent a direct line to Error Classifier and Router.
Connect Error Classifier and Router once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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