# Error Classifier and Router MCP for AI Agents AI Agent Connect

> Error Classifier and Router maps unpredictable LLM and tool execution errors to a structured taxonomy. It automatically identifies error types and provides deterministic recovery strategies, allowing your agent to handle rate limits, timeouts, or authentication failures without manual intervention.

## Overview
- **Category:** reliability
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_bFJhrD9k8LOWfWdsWn2VW7wLo36MxtockZY8byJc/ai-agent-connect
- **Tags:** error-classification, recovery, llm, automation, reliability

## Description

When you're running complex agentic workflows, things inevitably break. An API might hit a rate limit, a tool might time out, or a connection might drop. Usually, this leaves your agent stuck in a loop or crashing entirely because it doesn't know how to interpret the messy error messages it receives. This MCP changes that by acting as a translation layer between raw error signals and actionable logic. Instead of your agent guessing what a 429 or a 500 error means, it gets a clear category and a specific instruction on how to move forward. You can build much more resilient systems by letting the agent check if a retry is actually allowed or if it needs to stop and ask you for new credentials. By connecting this to your existing setup through the Vinkius catalog, you turn unpredictable failures into a predictable, automated recovery process. It essentially gives your agent a manual for handling mistakes, so it can fix its own errors and keep working without you stepping in every time a service hiccups.

## Tools

### classify_error
Analyzes a specific error signal to categorize it. It identifies the error type and the best way to recover.

### get_recovery_strategy
Retrieves the high-level strategy for a specific error category. It tells the agent exactly how to handle the failure.

### validate_retry_eligibility
Checks if a retry is permitted. It looks at current attempt counts to prevent infinite loops.

## Prompt Examples

**Prompt:** 
```
I just got a 429 error from the model API. What's the plan?
```

**Response:** 
```
That is a rate limit issue. You should follow the backoff strategy:

* **Category:** `rate_limit` 
* **Action:** `retry_with_backoff` 
* **Next Step:** Wait for the cooldown period before attempting the request again.
```

**Prompt:** 
```
The database tool timed out. Can I try again?
```

**Response:** 
```
Let me check the eligibility for you.

| Status | Detail |
| :--- | :--- |
| **Eligibility** | **Permitted** |
| **Action** | `retry_once` |

You have one retry remaining for this operation. Go ahead and try again.
```

**Prompt:** 
```
The tool says my credentials are invalid. How do I fix this?
```

**Response:** 
```
This is an authentication failure. 

* **Error Type:** `auth_failure` 
* **Required Action:** `reauth` 

Retrying will not work. You need to prompt the user to provide valid credentials before proceeding.
```

## Capabilities

### Categorize messy error signals
Turns unpredictable error outputs into a clean, structured taxonomy.

### Determine recovery paths
Provides a specific strategy for handling different types of failures.

### Check retry permissions
Verifies if an operation is allowed to be retried based on current attempt counts.

### Map errors to actions
Pairs specific error signatures with deterministic responses.

### Automate error handling logic
Allows your agent to decide between backing off, re-authenticating, or stopping.

## Use Cases

### 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.

### Managing Tool Timeouts
If a web search tool hangs, the agent checks if it's allowed to retry once before deciding to report a failure.

### Automating Re-authentication
When a tool returns an auth error, the agent recognizes the need to prompt the user for new credentials rather than retrying a dead connection.

### Preventing Loop Failures
An agent encountering repeated logic errors uses the retry validation to stop attempting a broken task after three tries.

## Benefits

- Stop infinite loops by using validate_retry_eligibility to manage attempt counts.
- Reduce manual debugging by using classify_error to turn raw logs into clear categories.
- Build self-healing agents that use get_recovery_strategy to handle rate limits automatically.
- Minimize downtime by instantly identifying if an error requires re-authentication or a simple backoff.
- Improve agent autonomy by providing a deterministic way to handle unpredictable tool failures.

## How It Works

The bottom line is that it turns chaotic error messages into a clear roadmap for recovery.

1. Pass the raw error message or signal from your agent to the MCP.
2. The system matches the error against a predefined taxonomy of failure types.
3. You receive a structured response containing the error category and the recommended recovery action.

## Frequently Asked Questions

**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 tool?**
It works with any tool 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 tools to handle failures during code execution or tool 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` tool will throw an error.