Skip to main content
Glama
ankit-aglawe

tokencost-mcp-server

by ankit-aglawe
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Remote

Related Servers

Alternatives to tokencost-mcp-server

No user-submitted related servers found.

    Related Servers

    • llm-oracle

      weiseer
      F
      license
      Not graded
      quality
      D
      maintenance
      Provides real-time LLM pricing and availability data as an MCP server, enabling AI agents to make optimal model routing decisions at inference time with cited pricing sources.
      -

    • LLM Radar

      ajentsor
      A
      license
      A
      quality
      F
      maintenance
      MCP server that provides AI assistants with real-time, current information about AI models from OpenAI, Anthropic, and Google, including pricing, capabilities, and context windows.
      4
      MIT

    • UsageWall

      agenciabakucl-coder
      A
      license
      Not graded
      quality
      D
      maintenance
      Live LLM pricing as an MCP server. Ask Claude or any MCP client 'how much does this prompt cost?' and get real numbers from a hand-checked pricing table for every major LLM.
      MIT

    • or-pricer

      viperdriver2000
      F
      license
      Not graded
      quality
      B
      maintenance
      MCP server that provides OpenRouter model pricing data, enabling price lookups, trending/cheapest lists, and model searches without an API key.
      -

    • Memory Cache Server

      tosin2013
      F
      license
      B
      quality
      D
      maintenance
      A Model Context Protocol (MCP) server that optimizes token usage by caching data during language model interactions, compatible with any language model and MCP client.
      4
      2
      -
    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

    A4.3/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose with no overlap: compare_models for side-by-side comparisons, estimate_cost for specific token calculations, find_cheapest for budget optimization, get_model_pricing for detailed lookups, list_models for catalog browsing, and list_providers for provider overview. The descriptions clearly differentiate their functions, eliminating any confusion about which tool to use for a given task.

    Naming Consistency5/5

    All tools follow a perfect verb_noun pattern with the 'tokencost_' prefix: compare_models, estimate_cost, find_cheapest, get_model_pricing, list_models, and list_providers. The naming is completely consistent, using descriptive verbs that accurately reflect each tool's function, making the set highly predictable and easy to navigate.

    Tool Count5/5

    Six tools is an ideal number for this server's purpose of LLM cost analysis. Each tool serves a distinct, valuable function in the workflow—from browsing models and providers to detailed comparisons and cost estimations—without any redundancy. The count is well-scoped, covering all essential operations without being overwhelming or insufficient for the domain.

    Completeness5/5

    The tool set provides complete coverage for LLM cost analysis: list_providers and list_models for discovery, get_model_pricing for detailed lookups, estimate_cost for calculations, compare_models for side-by-side analysis, and find_cheapest for optimization. There are no obvious gaps; agents can perform all typical cost-related tasks from exploration to decision-making without dead ends.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources