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Alternatives to aeso-mcp

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    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables access to real-time electricity data for a 15-state US region plus Manitoba: fuel mix, five-minute wholesale prices, binding transmission constraints, load and forecasts, and wind/solar output. Can run as a remote MCP endpoint or a local stdio server with no authentication.
      72 npm
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      One-call Australian energy-market plumbing via AEMO — cited, structured responses for market data and analysis, not a data broker.
      5
      56 PyPI
      MIT
    • A
      license
      B
      quality
      D
      maintenance
      Connects AI agents to energy infrastructure with 30+ tools for managing sites, assets, dispatch, settlements, compliance, and carbon tracking.
      34
      38 npm
      1
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      MCP server for Kardashev Labs US grid data, giving agents live LMP, carbon intensity, load, curtailment, interconnection queues, ERCOT large loads, and the public RT-DA spread forecast track record. Requires no API key.
      11
      37 npm
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables querying US electric grid time-series data – LMP prices, load, fuel mix – across ISOs via tools to list datasets, fetch historical windows, and get latest values.
      386 npm
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables access to European electricity data including day-ahead prices, probabilistic forecasts, carbon intensity, and cheapest-window optimization for 43 bidding zones.
      MIT

    TDQS

    A3.6/5.0

    Scored across 57 tools

    Disambiguation3/5

    The descriptions are unusually careful about distinguishing related reports, but the 57-tool surface contains dense clusters with overlapping semantics: get_generation/historical_generation/capacity, get_outages/generation_capacity/outage_impact, and supply_adequacy/supply_surplus/assess_supply_tightness/analyze_supply_surplus_eents. An agent could easily select the wrong tool despite the disclaimers, especially among the many analyze_* and summarize_* helpers.

    Naming Consistency5/5

    Every tool follows snake_case verb_noun (or verb_adjective_noun) naming: get_, analyze_, calculate_, compare_, summarize_, assess_, explain_, find_, sync_. Acronyms like uc, ffr, and tmr are used consistently within the same pattern. No camelCase or mixed verb styles appear.

    Tool Count2/5

    57 tools is far beyond the 25+ threshold and will cause selection overhead even if the AESO domain is broad. Many tools could be consolidated behind parameters, such as one outages tool with a type flag, one operating-reserve tool with a report type, or one supply-status tool with an official/derived flag. The set feels like a full REST report catalog rather than a curated MCP surface.

    Completeness4/5

    The set covers the core AESO market surface very thoroughly: prices, load, generation, outages, interties, operating reserves, forecasts, settlements, and analytics. Obvious minor gaps exist, such as historical interchange flows and some single-date report lookups, but agents can usually work around these with existing tools.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues