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newageflyfish-max

volthq-mcp-server

by newageflyfish-max
OverviewSchemaRelated ServersScoreDiscussions
TypeScript
Remote

Volt HQ

The compute price oracle for AI agents.

What it does

  • Compares pricing across 8 providers (OpenAI, Anthropic, Groq, Together AI, DeepInfra, Fireworks AI, Hyperbolic, Akash) — 106+ offerings with live API pricing

  • Recommends optimal routing — tells your agent where to get the same quality for less, with savings estimates

  • Tracks spend and budgets — spending summaries by provider/model, savings reports, and threshold alerts

Install

Auto-configure Cursor and Claude Desktop in one command:

npx volthq-mcp-server --setup

Detects installed clients, merges config without overwriting your existing MCP servers.

Cursor — add to .cursor/mcp.json:

{
  "mcpServers": {
    "volthq": {
      "command": "npx",
      "args": ["-y", "volthq-mcp-server"]
    }
  }
}

Claude Desktop — add to claude_desktop_config.json:

{
  "mcpServers": {
    "volthq": {
      "command": "npx",
      "args": ["-y", "volthq-mcp-server"]
    }
  }
}

Tools

Tool

Description

volt_check_price

Compare pricing across providers for a model

volt_recommend_route

Get optimal provider recommendation with savings estimate

volt_get_spend

Spending summary by provider and model (today/7d/30d)

volt_get_savings

Actual spend vs optimized spend comparison

volt_set_budget_alert

Set daily/weekly/monthly budget threshold alerts

Example

> volt_check_price { "model": "llama-70b" }

Price comparison for "llama-70b" — 8 offerings found
────────────────────────────────────────────────────────────
1. DeepInfra — Llama-70B
   Input: $0.20/M tokens | Output: $0.27/M tokens | Avg: $0.24/M
   Quality: 88% | Region: global

2. Hyperbolic — Llama-70B (FP8) on H100-SXM
   Input: $0.40/M tokens | Output: $0.40/M tokens | Avg: $0.40/M
   Quality: 85% | Region: global

3. Hyperbolic — Llama-70B (BF16) on H100-SXM
   Input: $0.55/M tokens | Output: $0.55/M tokens | Avg: $0.55/M
   Quality: 88% | Region: global

4. Groq — Llama-70B
   Input: $0.59/M tokens | Output: $0.79/M tokens | Avg: $0.69/M
   Quality: 88% | Region: global

5. Fireworks AI — Llama-70B
   Input: $0.70/M tokens | Output: $0.70/M tokens | Avg: $0.70/M
   Quality: 88% | Region: global

6. Together AI — Llama-70B
   Input: $0.88/M tokens | Output: $0.88/M tokens | Avg: $0.88/M
   Quality: 88% | Region: global

7. Akash — Llama-70B (FP8) on H100-SXM
   Input: $3.49/M tokens | Output: $8.72/M tokens | Avg: $6.11/M
   Quality: 85% | Region: global

8. Akash — Llama-70B (FP8) on A100-80GB
   Input: $5.24/M tokens | Output: $13.11/M tokens | Avg: $9.18/M
   Quality: 85% | Region: global

Cheapest is 97% less than most expensive option.

DeepInfra at $0.24/M, Hyperbolic at $0.40/M, Groq at $0.69/M, Fireworks AI at $0.70/M — all vs GPT-4o at $6.25/M.

Supported providers

  • OpenAI — GPT-4o, GPT-4o-mini

  • Anthropic — Claude Sonnet 4.6, Claude Haiku 4.5

  • Groq — Llama-70B, Llama-8B, Mixtral-8x7B

  • Together AI — Llama-70B, Llama-8B, DeepSeek-V3

  • DeepInfra — 75+ models with live API pricing (Llama, DeepSeek, Qwen, Mistral, Gemma, and more)

  • Fireworks AI — Llama-70B, Llama-8B, DeepSeek-R1

  • Hyperbolic — DeepSeek-V3, DeepSeek-R1, Llama-70B, Llama-8B

  • Akash — Llama-70B, Llama-8B on H100 and A100 (live GPU pricing)

Links

License

MIT

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A
quality
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maintenance - not tested

How are these scores calculated?

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