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LLM Inference Pricing Research Server

by Fadi88
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Python

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    • mcp-pricescout

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    • firecrawl-simple-mcp

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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    B3.1/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools have clearly distinct purposes: 'scrape_websites' performs the scraping operation to gather data, while 'extract_scraped_info' retrieves and formats previously scraped information. There is no overlap in functionality - one creates data, the other queries it.

    Naming Consistency4/5

    Both tools use snake_case naming which is consistent, but they follow different verb patterns: 'scrape_websites' uses a verb_noun format while 'extract_scraped_info' uses verb_adjective_noun. This minor deviation prevents a perfect score, but the naming is still clear and readable.

    Tool Count2/5

    With only 2 tools for a 'LLM Inference Pricing Research Server', the surface feels severely underpowered. The server's name suggests comprehensive pricing research capabilities, but the tools only cover basic website scraping and data extraction - missing essential operations like price comparison, model benchmarking, cost analysis, or API integration that would be expected for this domain.

    Completeness2/5

    The toolset is severely incomplete for the stated purpose of 'LLM Inference Pricing Research'. While scraping and extraction are useful first steps, there are no tools for analyzing pricing data, comparing providers, calculating costs, or generating research reports. The server provides only data collection capabilities without the analysis tools needed to fulfill its research purpose.

    Maintenance

    ActivityStale
    ResponsivenessNo issues

    Resources