"Using SearxNG for Deep Research" matching MCP servers:

Enables AI tools to access local crypto market data, run analyses, perform 66-item deep research, search RAG context, and retrieve generated reports and prompts via MCP.

Enables AI assistants to perform deep Indian stock research with fundamentals, forensic scores, DCF valuation, screening, and news for 6000+ NSE/BSE stocks.

A read-only MCP server for EdgeDepth's market microstructure search engine, enabling users to query recorded crypto and TradFi perpetuals for market conditions, outcomes, and reproducibility-keyed evidence directly from MCP clients.

Institutional-grade quantitative stock analysis and research signals for AI agents via the Model Context Protocol (MCP).

An MCP server exposing a registry of paper-backed quantitative trading methods plus a deterministic, no-LLM decision helper for reproducible trading research.

Provides financial data from Financial Modeling Prep for AI-assisted investment research, including company profiles, financial statements, and analyst ratings. It features high-level workflow tools for market analysis and atomic tools for deep dives into valuation and institutional ownership.

MCP server exposing ATLAS research capabilities: live tokenized stock market data, on-chain source-of-truth reads, and published research atlases. Connects to MCP clients over stdio with no API keys required for public testnet endpoints.

Exposes overseas and domestic macro/market statistics as MCP tools, including market sentiment and valuation indices like CNN Fear & Greed and KOSPI Buffett Index.

Provides 17 research tools for comprehensive company intelligence, covering aspects like overview, products, financials, and competitors. Supports both natural language answers and structured JSON output for automation.

A small MCP server that wraps MoneyMoney on macOS via AppleScript, exporting account lists and transactions (bookingDate, amount, name, purpose) as plists for invoice reconciliation, complementing a companion Apple Mail server.

Provides 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.

Provides comprehensive stock research and trading execution for Claude, aggregating data from Alpha Vantage, Finnhub, and Alpaca APIs.

Enables 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.

Provides institutional research data retrieval, extraction, validation, and citation generation for AI assistants via the Model Context Protocol.

Provides prediction market intelligence, research, and strategy signals for platforms like Kalshi, Polymarket, and Robinhood. It enables AI assistants to perform market screening, arbitrage detection, and deep causal analysis to support informed trading decisions.

Enables AI assistants to perform institutional research on companies, financials, industry, news, litigation, and risk, and to generate cited markdown, HTML, or PDF reports through MCP.

Read-only MCP server that provides enterprise research frameworks, frozen snapshots, and historical factor summaries with sources and falsification conditions, without trading advice.

An evidence-first investment research MCP server that combines official disclosures, market data, and domain-specific evidence for Korean biotech companies like Samsung Biologics, Daewoong Pharmaceutical, and Lunit.

Enables SEC EDGAR financial research, analysis, valuation, and chart data generation through natural language.

A collection of MCP servers for enterprise workflows including data acquisition, analysis, financial modeling, deep research, report generation, and knowledge governance. Provides a standalone MCP runtime with domain-specific tools and resources.