data-ai MCP Server
Zero-dependency Python CLI + MCP server for comparing LLM API costs across 144 models and 22 providers (OpenAI, Anthropic, Google, Mistral, xAI, DeepSeek, Groq...)
Discovered via github-topic:mcp and last synced 3mo ago.
Install instructions not detected yet
Check the source repository for the latest setup steps.
Notes
Anthropic
12
4
2
OpenAI
9
5
Calculate exact cost for input+output tokens
Provider
Latest multimodal flagship
13
8
3
Search models by name or filter by provider
OpenAI
Together
Qwen3, Kimi K2, Llama, DeepSeek
3
Description
`kbghHYeBXr2AcYUyvkofHa9sArgkJcKBC6zZhSdao82`
1M context, cost-efficient
Total
8
Llama 3.1 8B ($0.02/Mtok — cheapest!), Llama 3.3 70B, Qwen3 235B (262k ctx), Nemotron 253B, DeepSeek-R1-0528
Address
6
6
5
Get pricing for a specific model
Models
3
4
Find the N cheapest models for your workload
Compare cost of a workload across multiple models
Llama 4 Maverick (1M ctx), Scout, DeepSeek-R1-0528, Qwen3 235B
List all 24 providers with min pricing
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