Skip to main content
Glama
datavidence

datavidence-financials

Official
by datavidence
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

Related Servers

Alternatives to datavidence-financials

No user-submitted related servers found.

    Related Servers

    • hub-equity-mcp by Hub-Equity

      hub-equity-mcpofficial

      Hub-Equity
      A
      license
      A
      quality
      C
      maintenance
      Standardizes XBRL financial data from US SEC and European ESEF filings for LLM agents, enabling querying normalized financial facts like revenue and total assets across issuers and taxonomies.
      21
      37 PyPI
      Apache 2.0

    • edgar-mcp

      henrysouchien
      A
      license
      A
      quality
      B
      maintenance
      Provides access to SEC EDGAR financial data, enabling AI agents to fetch company filings, financial metrics, and narrative sections. It supports natural-language metric searching and extracts structured data from 10-K, 10-Q, and 8-K reports.
      6
      53 PyPI
      MIT

    • filingrail-mcp

      adamhudson777
      A
      license
      A
      quality
      C
      maintenance
      Give your AI agent live SEC EDGAR data: company financials, insider trades, 8-K events, 13F holdings, and the raw filings stream — all normalized to clean JSON, every number traceable back to its sec.gov source filing.
      8
      42 PyPI
      MIT

    • edgar-mcp

      Arnavdsp
      A
      license
      A
      quality
      B
      maintenance
      Enables AI agents to query US public company financial data from SEC filings, with tools for resolving tickers, listing filings, retrieving financial concepts, comparing companies, extracting filing sections, and full-text search. It surfaces data ambiguities like tag variations, restatements, and fiscal-year misalignment rather than hiding them.
      6
      MIT

    • edgar-search-mcp

      jibarix
      A
      license
      A
      quality
      A
      maintenance
      Gives an AI agent read-only access to SEC EDGAR for company lookup, reported financial statements, individual XBRL concepts, filing and exhibit lists, filing text, segment revenue, and full-text search. Every answer carries its source accession number, form, filing date, URL, hash and retrieval time, and it needs no API key.
      11
      MIT
    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

    A4.7/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: company lookup, filing discovery, single financials, batch financials, restatement history, and quota monitoring. The descriptions explicitly disambiguate the most similar tools, such as get_financials versus get_revisions.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun snake_case pattern: get_financials, list_filings, get_financials_batch, get_revisions, search_companies, get_usage. The batch variant is clearly a modifier of get_financials rather than a breaking convention.

    Tool Count5/5

    Six tools is well-scoped for a financial data server. Each tool earns its place: lookup, filing discovery, single retrieval, batch retrieval, revision history, and usage monitoring, with no meaningful redundancy.

    Completeness5/5

    The toolset covers the full natural workflow: resolve identifiers with search_companies, discover available filings with list_filings, retrieve financials individually or in batch, inspect restatements with get_revisions, and track quota with get_usage. No critical dead ends exist within the stated SEC EDGAR normalized-financials domain.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources