mcp-server-troubleshooting

syeda-hoorain-ali's avatarfrom syeda-hoorain-ali

Diagnoses and resolves common Model Context Protocol (MCP) server connection issues with OpenAI Agents SDK

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[Debugging]

When & Why to Use This Skill

The MCP Server Troubleshooting skill is a specialized diagnostic tool designed to streamline the identification and resolution of Model Context Protocol (MCP) connection issues within the OpenAI Agents SDK. It provides a systematic framework for developers to debug authentication failures, network timeouts, and tool discovery errors, ensuring robust communication between AI agents and their underlying server infrastructure.

Use Cases

  • Resolving Connection Failures: Diagnose and fix network timeouts or unreachable server issues across various transport methods like HTTP, SSE, and stdio.
  • Fixing Authentication Errors: Systematically verify and update security tokens or credentials to resolve '401 Unauthorized' and other access-related handshake problems.
  • Debugging Tool Discovery: Identify why specific tools are not appearing in the agent's interface by validating listing endpoints and server configuration parameters.
  • Optimizing Performance: Analyze communication logs to detect and resolve slow response times or request/response failures that impact agent efficiency.
  • Configuration Validation: Review and correct incorrect headers, parameters, and timeout settings to ensure the MCP server aligns with SDK requirements.
namemcp-server-troubleshooting
descriptionDiagnoses and resolves common Model Context Protocol (MCP) server connection issues with OpenAI Agents SDK

MCP Server Troubleshooting Skill

This skill helps diagnose and resolve common issues with Model Context Protocol (MCP) server connections in OpenAI Agents SDK.

Purpose

  • Identify common MCP connection problems
  • Provide systematic troubleshooting steps
  • Resolve authentication, network, and configuration issues
  • Debug tool availability and communication problems

Common Issues Addressed

  1. Connection failures - Network timeouts, unreachable servers
  2. Authentication errors - Token issues, invalid credentials
  3. Tool discovery problems - Tools not appearing, listing failures
  4. Communication errors - Request/response failures
  5. Performance issues - Slow responses, timeouts
  6. Configuration problems - Incorrect parameters, headers

Troubleshooting Approach

  1. Identify the transport method in use (Hosted, HTTP, SSE, stdio)
  2. Check basic connectivity to the MCP server
  3. Verify authentication credentials and tokens
  4. Validate server configuration parameters
  5. Test tool listing functionality
  6. Examine error messages for specific details
  7. Review logs for additional diagnostic information

Diagnostic Commands

  • Test server reachability
  • Validate authentication tokens
  • Check tool listing endpoints
  • Verify headers and parameters
  • Review timeout configurations

Resolution Strategies

  • Update authentication credentials
  • Adjust timeout values
  • Fix network configuration
  • Correct server parameters
  • Implement retry mechanisms
  • Add proper error handling