[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"cc-detail-mcp-servers-szp2005-llm-prices-cn":3},{"id":4,"slug":5,"type":6,"title":7,"summary":8,"description_md":9,"install_command":10,"install_method":11,"source_url":12,"source_type":13,"github_repo":14,"github_stars":15,"github_last_commit_at":16,"language":17,"tags":18,"use_cases":24,"status":25,"submitted_by_ip":26,"approved_at":27,"view_count":15,"copy_count":15,"created_at":28,"updated_at":28,"quality_score":29,"discovered_via":30},"613abbba-391a-43e0-8975-2f3bae794645","szp2005-llm-prices-cn","mcp_server","LLM Prices CN MCP","A pricing dataset and MCP server for querying live LLM API prices and estimating token costs.","This repository provides a daily-verified dataset of LLM API prices for 44 models from Chinese and global vendors. The core data is stored in `prices.json` and includes model metadata, token pricing, context limits, and related fields.\n\nIt also exposes the data through a remote MCP server for live price queries and cost estimation. The README lists tools for querying model prices and estimating costs, and it describes a local stdio MCP server that can run offline from the bundled dataset.\n\nFor updates, the repository includes `sync_prices.py` to rebuild `prices.json` from upstream configuration sources. The project is licensed under CC-BY-4.0 and asks users to attribute LLM Abacus when reusing the pricing data.","docker build -t llm-prices-mcp .\ndocker run -i --rm llm-prices-mcp          # stdio MCP server\n# or, without Docker:\npip install -r requirements.txt && python server.py","docker","https:\u002F\u002Fgithub.com\u002Fszp2005\u002Fllm-prices-cn","github","szp2005\u002Fllm-prices-cn",0,"2026-07-22T13:44:45+00:00","en",[19,20,21,22,23],"mcp","pricing","llm","dataset","cost-estimation",[],"approved",null,"2026-07-23T04:00:22.623+00:00","2026-07-23T04:00:22.65451+00:00",7,"awesome-list"]