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Alternatives to fiscus

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    Related Servers

    • F
      license
      Not graded
      quality
      D
      maintenance
      Economic data MCP server that connects FRED, BLS, BEA, IMF, World Bank, and ECB to any MCP-compatible client, with built-in methodology rules to guide LLMs in selecting appropriate economic indicators.
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    • A
      license
      A
      quality
      C
      maintenance
      MCP server serving official statistics from major data agencies (Statistics Canada, FRED, BLS, World Bank, etc.) as tools with provenance and verification, enabling search, retrieval, analysis, and monitoring via natural language.
      11
      59 npm
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      MCP server providing official US economic data including CPI inflation, famous prices, national debt, and Treasury interest rates. Enables AI agents to query historical and latest economic statistics via natural language.
      8
      24 npm
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      An MCP server that wraps the Federal Reserve Economic Data (FRED) API, providing access to over 800,000 economic time series like GDP and unemployment. It enables AI agents to search for data, retrieve metadata, and fetch historical observations directly from the St. Louis Fed.
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    • A
      license
      B
      quality
      C
      maintenance
      An MCP server that provides economic intelligence using FRED data, including series search, metadata, observations, comparisons, and a curated macroeconomic knowledge graph with GraphRAG, digital twin simulation, and explainability.
      13
      MIT
    • A
      license
      B
      quality
      D
      maintenance
      Integrates the FRED (Federal Reserve Economic Data) API with MCP, enabling AI assistants to retrieve economic time series data such as GDP, inflation, and interest rates.
      1
      MIT

    TDQS

    A3.7/5.0

    Scored across 9 tools

    Disambiguation5/5

    Each tool targets a distinct data source or operation: provenance for cache keys, source_caveats for context binding, find_series for search, get_series for general fetch, and specific tools for BEA NIPA, FiscalData, file downloads, Z.1 series, and SOMA holdings. No two tools have overlapping purposes.

    Naming Consistency3/5

    Tool names use lowercase with underscores, but conventions vary: some are verb_noun (find_series, get_series, get_file), some are noun_noun (bea_nipa_table, fiscaldata_query, z1_series, soma_holdings), and 'provenance' is a single noun. This mix of verb-first and noun-first patterns reduces predictability.

    Tool Count5/5

    With 9 tools covering search, general fetch, specific data sources, file download, and metadata retrieval, the count is well-scoped for an economic data server. No tools feel redundant or missing.

    Completeness4/5

    The tool set covers core operations: search, fetch for multiple families (FRED, BEA, BLS, OFR, NY Fed, TreasuryDirect), specific endpoints for NIPA, FiscalData, Z.1, and SOMA, plus provenance and caveats. Minor gaps include no explicit tool for listing all available families, but find_series and get_series cover most needs.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues