Classify MCP errors and provide recovery guidance with actionable retry and state details.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ErrorLens MCP" yet — see the docs or source repo.
Please classify the following MCP error in a structured way, determine whether it is retryable, how long to wait, whether the session should be reset, and provide recovery steps: {"error":"timeout","message":"tool execution exceeded 30s","context":{"tool":"db-query","attempt":2}}Returns the error category, retryability, suggested backoff time, state impact, and concrete recovery actions.
Here is a failed MCP task record. Produce an agent-ready recovery plan including retry conditions, stop conditions, state checkpoints, and user-facing messaging: an authentication failure was followed by a resource lock error.
Provides a phased recovery plan showing whether to fix auth first or wait for lock release, plus prompt templates.
Please label the following errors as transient, permanent, or state conflicts, and explain the proper handling action for each: network jitter, missing parameters, expired session, concurrent write conflict, insufficient permissions.
Outputs a clear error classification table with recommended handling strategies for each type.
Collect browser and terminal errors and generate AI summaries for debugging.
Run dev checks and get compact error summaries for faster debugging.
Detect retry loops and iteration patterns to improve debugging and repair attempts.
Validate AI outputs against contracts and auto-repair noncompliant results.
Search external information through an MCP server for LLM-powered agents.
Provide AI agents with business context for e-commerce operations workflows.