financial-research-mcp
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Alternatives to financial-research-mcp
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Related Servers
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to conduct cited equity research with independent committee views, reproducible backtests, and a locally stored, auditable track record through five MCP tools.2MIT
- 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.-
- AlicenseAqualityAmaintenanceEnables AI agents to operate a local financial terminal, including market data, backtesting, paper portfolio management, and news digest, through safe, gated tools over MCP.6MIT
- FlicenseNot gradedqualityCmaintenanceA multi-agent financial portfolio risk analyzer that provides MCP tools for fetching market news and storing compliance-reviewed assessment reports in a local database.-
- 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
- FlicenseAqualityBmaintenanceProvides multi-agent equity research for US markets with provenance-backed financial data from SEC EDGAR, technicals, macro, and Alpaca paper trading, enforcing risk limits and journaling theses.27-
TDQS
Scored across 10 tools
Most tools map cleanly to distinct resources or calculations, but the three search_documents variants overlap considerably and an agent may struggle to choose between plain, vector, and semantic search. Descriptions help somewhat, but the boundaries remain unclear.
All tools follow a consistent snake_case verb_noun pattern: get_*, search_*, and calculate_*. This makes tool selection predictable and reinforces the purpose of each tool.
Ten tools is a reasonable size for a financial research server covering data retrieval, document search, and analytics. The three document search variants add mild redundancy but do not make the count excessive.
The tool surface covers core research workflows: retrieving market data and fundamentals, searching news/papers/local documents, and computing common return and risk statistics. Minor gaps exist, such as no explicit save/annotate workflow or more advanced analytics, but these are not critical for the apparent scope.