FinResearch MCP
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Alternatives to FinResearch MCP
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Related Servers
- AlicenseNot gradedqualityBmaintenanceEnables querying of SEC EDGAR filings and financial data via natural language, offering tools for company lookup, filing retrieval, XBRL data, and full-text search.170 npmMIT
- AlicenseNot gradedqualityCmaintenanceEnables to search and retrieve SEC EDGAR filings, insider transactions, major shareholders, and executive compensation data through natural language.27 npmMIT
- AlicenseNot gradedqualityBmaintenanceProvides access to SEC EDGAR data through natural language, including company filings, financial statements, and company info, without requiring an API key.MIT

secapi-mcpofficial
AlicenseAqualityCmaintenanceEnables AI clients to search and analyze SEC filings, financial statements, insider trades, and institutional holdings through natural language tools.97 npm1MIT- AlicenseNot gradedqualityCmaintenanceWraps the SEC EDGAR XBRL API to query financial data from SEC filings via natural language.4 npmMIT
- AlicenseAqualityBmaintenanceProvides 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.6MIT
TDQS
Scored across 24 tools
Most tools have distinct purposes (e.g., calculate_cagr vs calculate_dcf_valuation), but some overlap exists: get_financial_fact, get_company_financials, and get_sec_company_facts all retrieve SEC financial data, and analyze_company, ai_analyze_company, and get_dashboard_data produce overlapping analytical outputs. Descriptions help but boundaries could be clearer.
All tool names follow a consistent verb_noun pattern in snake_case (calculate_*, get_*, run_*, analyze_*, compare_*, index_*, search_*, export_*). There are minor prefixes like 'ai_' and suffixes like '_rag', but they are applied consistently and do not break the overall convention.
With 24 tools, the server is on the high end of the typical range, but the count is justified by the comprehensive scope covering financial data retrieval, ratio analysis, valuation models, portfolio analytics, market data, reporting, and RAG-based search. Each tool addresses a distinct need, though the set could be slightly consolidated.
The tool surface covers the full financial research workflow: fetching SEC data, calculating metrics and valuations, running sensitivity analysis, comparing companies, analyzing portfolios, retrieving market data, and exporting reports. Missing a direct tool for listing filings or comparing against industry benchmarks, but these are minor gaps that can be worked around with existing tools.