mcpField
N
NovAI Prices

NovAI Prices

Remote
github.com/vvvvkingAI & Agents0Updated 3d ago
Repository

About NovAI Prices

NovAI Prices is an MCP server for comparing prices across Chinese AI models using NovAI’s live price feed. It converts chat, video, and image rates into comparable units and provides cheapest-model and name-based lookups.

Key features

  1. 01Compare prices across chat, video, and image models
  2. 02Normalize rates to comparable usage units
  3. 03Find lowest-cost models by category and budget
  4. 04Look up a model by name fragment
  5. 05List available price categories

Use cases

  1. 01Find a low-cost model for a task type
  2. 02Compare video models by estimated five-second clip cost
  3. 03Check a model’s listed price before selecting it

MCP support

Exposes price comparison and lookup tools to MCP clients through a remote Streamable HTTP endpoint. Price data comes from NovAI’s feed, regenerated daily; unavailable upstream data returns an error instead of stale results.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://aiapi-pro.com/api/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project README

novai-prices-mcp

Listed in the official MCP Registry as io.github.vvvvking/novai-prices — remote streamable-http endpoint: https://aiapi-pro.com/api/mcp

An MCP server that answers one question well: which Chinese AI model is cheapest for what I'm doing right now?

It reads NovAI's live price feed (https://aiapi-pro.com/china-ai-leaderboard.json) and normalizes every model into a comparable cost unit, because every provider quotes a different one:

ModalityUnit the market quotesUnit this server uses
Chat / LLMper 1M input, per 1M output1M input + 200K output (one large coding run)
Videoper second, per generation, per 1M tokensone 5-second clip (token-billed models are converted)
Imageper image, per generationone image

Prices are the providers' list price passed through with a 1.0 multiplier and 0% platform markup — the server reports the rate card, not a sales number.

Tools

ToolWhat it does
cheapest_modelsCheapest models, optionally filtered by category and max_price
model_pricePrice lookup by name fragment (seedance, kimi, glm, qwen…)
list_categoriesCategories available in the feed

Run it

No dependencies beyond Python 3.9+:

python3 server.py
Claude Desktop / Cline / any MCP client
{
  "mcpServers": {
    "novai-prices": {
      "command": "python3",
      "args": ["/absolute/path/to/server.py"]
    }
  }
}
Example session
→ tools/call cheapest_models {"category": "video", "limit": 3}
← CogVideoX-Flash (Zhipu AI) — FREE
  PixVerse C1 Video API (PixVerse) — $0.154 per 5s clip (est.)
  PixVerse V6.0 Video API (PixVerse) — $0.203 per 5s clip (est.)
→ tools/call cheapest_models {"category": "chat / llm", "limit": 3}
← GLM-4.7-Flash — FREE
  DeepSeek V4 Flash — $0.080/1M in, $0.170/1M out ($0.11 per 1M-in/200K-out run)
  GLM-5.3-Flash — $0.080/1M in, $0.280/1M out

Why this exists

Price comparison for Chinese models is broken: one vendor quotes per second, another per token, a third per generation. Converting them by hand is error-prone, and every gateway's marketing page has an incentive to make its own numbers look good. This server just converts and sorts, and links to the machine-readable feed so the numbers can be checked.

Data freshness

The feed is regenerated daily from the live model catalog. generated_at is included in the JSON; if the upstream feed is unreachable the tool returns an error rather than stale numbers.

License

MIT

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.