grade C

11 days ago

glama

ComputeGauge MCP

Provides cost intelligence and a reputation scoring system to help AI agents optimize spending through smart model selection and local-to-cloud routing. It enables real-time cost tracking and rewards agents for making efficient, high-credibility decisions across various LLM providers.

→ ComputeGauge/mcp · listed on glama

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Glama

M8ven verifies MCPs across every public registry — install directly from whichever one you prefer.

// key findings

⚠️

Known vulnerabilities in dependencies: 2 high

Affects packages this MCP installs at runtime. Upgrade or remove the affected dependency.

✅

No credential exfiltration, no sensitive file access, no obfuscation

Static analysis found nothing flowing your secrets to unexpected places.

✅

Open source with a license and README

Anyone can audit the code, the license is declared, and the publisher documents what it does.

🔐

You'll be asked for 8 credentials: ANTHROPIC_API_KEY, COMPUTEGAUGE_API_KEY, DEEPSEEK_API_KEY, GOOGLE_API_KEY, GROQ_API_KEY, MISTRAL_API_KEY, OPENAI_API_KEY, TOGETHER_API_KEY

These are read from process.env at runtime. Make sure you trust where they’ll be sent.

// required environment variables

This server reads these from process.env. You'll be asked to provide them before it can run.

🔐 secretANTHROPIC_API_KEY— "": "sk-ant-...",

configAWS_REGION

configAZURE_SUBSCRIPTION_ID

configCLAUDE_CODE

🔐 secretCOMPUTEGAUGE_API_KEY— No API key for dashboard access

configCOMPUTEGAUGE_BUDGET_TOTAL— No Session budget limit in USD

configCOMPUTEGAUGE_COST_PER_HOUR— No Amortized hardware cost/hr

configCOMPUTEGAUGE_CPU

configCOMPUTEGAUGE_DASHBOARD_URL— No URL of ComputeGauge dashboard

configCOMPUTEGAUGE_GPU— No GPU name for hardware detection

configCOMPUTEGAUGE_ON_PREM

configCOMPUTEGAUGE_RAM_GB

configCOMPUTEGAUGE_VRAM_GB— No VRAM in GB

configCUDA_VISIBLE_DEVICES

configCURSOR_WORKSPACE

🔐 secretDEEPSEEK_API_KEY

🔐 secretGOOGLE_API_KEY— No Enables Google provider detection

configGOOGLE_CLOUD_PROJECT

configGPU_VRAM_GB

🔐 secretGROQ_API_KEY

configHF_INFERENCE_HOST

configLLAMACPP_HOST— llama.cpp —

configLLAMACPP_MODEL

configLLAMA_SERVER_URL

configLOCALAI_BASE_URL

configLOCALAI_HOST— LocalAI —

configLOCALAI_MODELS

configLOCAL_AI_ENDPOINT

configLOCAL_LLM_ENDPOINT— Custom —

configLOCAL_LLM_MODELS

🔐 secretMISTRAL_API_KEY

configNVIDIA_GPU_NAME

configOLLAMA_BASE_URL

configOLLAMA_HOST— "": "http://localhost:11434",

configOLLAMA_MODELS— "": "llama3.3:70b,qwen2.5:7b,deepseek-r1:14b",

🔐 secretOPENAI_API_KEY— "": "sk-...",

configTGI_HOST

configTGI_MODEL

🔐 secretTOGETHER_API_KEY

configVLLM_BASE_URL

configVLLM_HOST— No vLLM inference endpoint

configVLLM_MODELS

configWINDSURF_WORKSPACE

// full audit trail

The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.

// improvement guidance — verified publishers only

We have 5 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.

// embed badge in your README

[![M8ven Score](https://m8ven.ai/badge/mcp/computegauge-mcp-kw4ir4)](https://m8ven.ai/mcp/computegauge-mcp-kw4ir4)

commit: 423af3fc2b26dbf1c4e31d18d9d70e1aa73e9a93

code hash: 53f771924be02a0b2b3783830e541dd38b942714f9ffad87a70111d4de432f3f

verified: 4/11/2026, 3:04:32 PM

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