vllora MCP Server
vllora/vllora
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vllora/vllora is a Rust tool. Debug your AI agents Topics: agents, anthropic, claude, deepseek, gemini, langchain, llm, model-context-protocol, openai, rust-lang, tracing, vercelaisdk, ai-gateway, llm-gateway, azure, router, ai-agents, google-adk.
Ranked #15925 out of 24846 indexed tools.
Ecosystem
Rust NOASSERTION
agentsanthropicclaudedeepseekgeminilangchainllmmodel-context-protocolopenairust-langtracingvercelaisdkai-gatewayllm-gatewayazurerouterai-agentsgoogle-adk
Score Breakdown
Stars 15% 811
811 stars → growing community
Freshness 25% 4mo ago
Last commit 4mo ago → stale
Issue Health 25% 52%
31/60 issues closed → decent issue management
Contributors 10% 8
8 contributors → small team
Dependents 25% 0
No dependents → no downstream usage
npm Downloads N/A
PyPI Downloads N/A
Forks 51
Description Brief
License NOASSERTION
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Description low impact
License low impact
Freshness high impact
Matched Queries
From the README
<div align="center"> #### Lightweight, Real-time Debugging for AI Agents Debug your Agents in Real Time. Trace, analyze, and optimize instantly. Seamless with LangChain, Google ADK, OpenAI, and all major frameworks. **[Documentation](https://vllora.dev/docs)** | **[Issues](https://github.com/vllora/vllora/issues)** </div> ## Quick Start First, install [Homebrew](https://brew.sh) if you haven't already, then: ```bash brew tap vllora/vllora brew install vllora ``` ### Start the vLLora: ```bash vllora ``` > The server will start on `http://localhost:9090` and the UI will be available at `http://localhost:9091`. vLLora uses OpenAI-compatible chat completions API, so when your AI agents make calls through vLLora, it automatically collects traces and debugging information for every interaction. <div align="center"> </div> ### Test Send your First Request 1. **Configure API Keys**: Visit `http://localhost:9091` to configure your AI provider API keys through the UI 2. **MakeRead full README on GitHub →
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