"A guide to conducting market research" matching MCP servers:

Enables AI agents to access Indonesian Stock Exchange market data, including Level 2 orderbooks, bandarmology, financials, chart pattern recognition, and quantitative risk budgeting.

Enables open-access academic paper search and lookup via arXiv and OpenAlex, plus journal-quality color palettes for scientific figure styling.

Enables discovery of Fabric/Power BI workspaces and semantic models, execution of DAX queries, and generation of executive HTML reports with visualizations.

Enables host assistants to discover and read the toolkit’s research methods over a local stdio MCP connection, supporting research planning, literature work, scientific reasoning, writing, figures, and academic document workflows. It does not itself search scholarly databases, generate research results, compile documents, or call models.

Enables an agent to turn a paper's draft into editable Figma frames for publication-ready figures, checking every number against the paper and verifying the exported PDF.

A production-grade MCP server that provides tools to fetch historical stock data, company information, and technical indicators (SMA, EMA, RSI, MACD, Bollinger Bands) via yfinance, and includes a Flask web dashboard for visual analysis.

Generates standalone interactive HTML reports that combine crypto news research briefs with live market data, enabling filtering, search, and dominance assumption exploration.

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

Enables generating Power BI .pbit dashboards from CSV files or live SQL databases using plain-English prompts and optional reference-image layouts, with local-only processing and MCP tools for Claude Desktop.

A local, fully vectorized computational engine for stock market analysis that enables AI to perform factor calculation, strategy backtesting, IC analysis, and GPU-based multi-dimensional visualization using local DuckDB data.

An HTTP MCP server for exploring CSV files that masks PII before any code execution, enabling safe data analysis with local or cloud LLMs.

Enables AI assistants to pull live quotes, quarterly financials, technical indicators, FII/DII flows, option chains with IV, corporate filings, IPO data and portfolio P&L for all 8,200+ NSE and BSE listed stocks, plus a 326-ratio screener and index heatmaps. Connects either remotely over OAuth or locally via npx/uvx to Claude, ChatGPT, Cursor, VS Code, Codex and Gemini CLI.

Renders word-sized charts — sparklines, bars, bullets and 100+ more types — to self-contained SVG with generated alt text, small enough to sit inline in a model's reply or a table cell. Three tools: find the right chart for a question, get its wiring, and render it.

A Model Context Protocol server that gives an LLM a structured visual layer to describe what exists and get back a clean, precise SVG diagram instead of ASCII art.

Renders OHLCV data as candlestick chart PNGs and returns inline images. It is a pure renderer with no network access, allowing models to view charts generated from provided data.

A Model Context Protocol server that renders Apache ECharts options to SVG, enabling AI agents to generate deterministic charts server-side without a browser.

A Model Context Protocol server for interacting with Lightdash, enabling AI assistants to discover data, create charts, and manage dashboards programmatically.

Provides Vietnamese stock market data and technical analysis tools via VNDIRECT's public API, including OHLC candles, fundamentals, chart rendering, MACD divergence detection, and market structure analysis. Enables MCP clients like Claude Code to fetch and analyze stock data without API keys.

Visualizes conversations as structured hierarchical mind maps by injecting a prompt that instructs the LLM to generate a JSON mind map — no external APIs required.

A Model Context Protocol server that provides a dynamic map interface with tools to add raster/vector layers, control map view, and modify paint properties.

Provides real-time stock quotes, market indices, historical data, and financial visualizations from Yahoo Finance without API keys, enabling users to analyze and visualize market data through Claude.

Enables Magic: The Gathering players to analyze deck lists using real Scryfall oracle text, detecting synergies and conflicts. Generates three viewable documents: an interactive synergy map, a detailed guide, and a printable cheat sheet.

Enables coding assistants to replay a backtest's market orders against the trades that followed them, producing fills and slippage statistics, and to turn a bars CSV into a self-contained HTML tearsheet that splits returns into fees, funding and slippage. All work runs locally over stdio on files you supply, with no data sent anywhere.

An MCP server that wraps PM4Py to bring research-grade process mining (event log analysis, discovery, conformance, OCEL 2.0) to Claude and other MCP agents, fully locally.

Enables AI assistants to create and edit Office documents, presentations, and spreadsheets, as well as generate diagrams, charts, citations, and research project structures.

A TradingView-style market research and charting MCP server that provides tools for market data, indicators, watchlists, and local HTML chart rendering without scraping TradingView.

Enables AI clients to generate over 26 chart types via MCP, automatically starting a private rendering service.

A local-first MCP server providing market data, deterministic technical analysis, chart rendering, and optional TradingView Supercharts browser workflows via stdio and a loopback REST API.

Enables MCP-compatible hosts to perform live web research, process local transcripts or text into headlines and keywords, and generate 3D office visualizations from processed data.

Exposes DeerFlow's multi-agent capabilities (deep research, data analysis, chart visualization, PPT/image generation, consulting) via the Model Context Protocol, enabling any MCP client to invoke these skills through a thin server wrapper.