vllora provides real-time debugging for AI agents. It exposes tools for live observability, step-by-step execution tracking, and environment inspection. The server connects to agent execution environments, allowing developers to monitor and debug agent behavior during runtime. Useful for developers building and testing AI agents, vllora helps identify and resolve issues efficiently.
vllora provides real-time debugging for AI agents. It exposes tools for live observability, step-by-step execution tracking, and environment inspection. The server connects to agent execution environments, allowing developers to monitor and debug agent behavior during runtime. Useful for developers building and testing AI agents, vllora helps identify and resolve issues efficiently.
Add this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"vllora-vllora-github": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-vllora-vllora-github"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from vllora?"
API Key Required
This server requires an API key from vllora. Add it to your environment or config.
| Variable | Required | Description |
|---|---|---|
| VLLORA_API_KEY | Yes | Your vllora API key |
"What resources are available in vllora?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in vllora"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in vllora with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
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