INDUSS Research Intelligence MCP Server
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- FlicenseNot gradedqualityCmaintenanceEnables AI assistants to perform institutional-grade research by retrieving and validating company, financial, industry, news, litigation, and funding data, then generating cited reports in Markdown, HTML, or PDF.-
- FlicenseAqualityCmaintenanceEnables AI assistants to perform institutional research and due diligence by retrieving, extracting, validating, and citing data from public sources, then generating reports in markdown, HTML, or PDF.23-
- FlicenseNot gradedqualityAmaintenanceEnables natural-language, source-backed research across SEC filings, earnings transcripts, company financials, stock and crypto market data, and prediction markets news. It also provides deep research orchestration and live documentation access through MCP clients.-
- FlicenseAqualityBmaintenanceProvides an institutional research backend for AI assistants, with 15 tools for company, financial, funding, competitor, industry, and news intelligence, plus Markdown/PDF report generation, featuring deterministic source routing, extraction, validation, and citation generation.15-

Wokelo MCP Serverofficial
FlicenseNot gradedqualityDmaintenanceEnables dealmaking research for AI assistants, providing company intelligence, transaction data, and research deliverables via MCP.-- AlicenseNot gradedqualityAmaintenanceEnables natural-language financial research by querying SEC filings, earnings transcripts, company financials, stock and crypto market data, news, and prediction markets through source-backed tools. It also provides deep research, historical prediction-market data, and live documentation access for MCP clients.MIT
TDQS
Scored across 32 tools
Most tools map to a distinct research function, but there are several close pairs and triples: the three DCF variants, listed_peer_comparison vs global_peer_comps, the four report/generation tools, and market_size vs industry_overview. The descriptions do an excellent job of separating them, but the boundaries are subtle enough that an agent must read carefully to avoid selecting the wrong tool.
Tool names are consistently lower_snake_case and mostly follow a descriptive noun-phrase pattern for data-gathering tools, with a clear generate_* subgroup for report/PDF/Markdown output. Minor deviations like search_company, discover_competitors, and health_check mix in verbs, but the overall pattern remains predictable and readable.
At 32 tools, the surface is well beyond the 25+ threshold and will impose a meaningful selection burden even though the domain is broad. Several tools could plausibly be consolidated, such as the DCF variants and the overlapping peer-comparison tools.
The set covers the full equity-research workflow: company resolution, profile, financials, ratios, segment and operating data, multiple valuation methodologies, peer and industry context, news and risk screening, and structured report rendering. There are no obvious dead ends for producing an initiating-coverage-style research note.