"Roam Research" matching MCP servers:

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.

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.

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

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 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.

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

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.

SongSage is a Model Context Protocol (MCP) server that connects BirdNET-Analyzer-Sierra with Claude Desktop, enabling natural language interaction with bioacoustic data for wildlife monitoring and conservation research.

Enables AI-native statistical analysis and reproducible research workflows through MCP, including natural language planning, protocol-based analysis, Python/R cross-validation, and publication-ready figure generation.

A quantitative trading analysis server that enables AI agents to screen stocks, analyze technical indicators, and generate professional candlestick charts. It also provides tools for aggregating financial news and extracting full article text for deep research.

Enables rigorous, zero-hallucination analysis of local PDF papers, generating editable domain maps, mindmaps, research gaps, and future directions with strict citation requirements.

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

An MCP server that gives AI agents a unified interface to clinical/research EEG workflows: signal processing, source imaging, persistent dataset/EHR storage, and web visualization.

MCP server for creating and managing looks and dashboards in campaign-explore on bigbrain.me.

Caches and serves DDR/DRAM weekly price series from memorys.com and historical memory technology data, with tools for refresh, validation, analytics, forecasting, and chart rendering.

AI-powered stock research MCP server with real-time data, CRUD operations, and interactive dashboard for fundamental analysis and comparisons.

Options analytics an agent can drive: import a permitted chain, solve implied volatility, build a sixteen-Greek ladder, map dealer gamma walls, rank twenty-three structures, run a GARCH-t simulation with a convergence gate, and backtest with modelled premiums. Twelve stdio tools; every output is a schema-validated JSON file with source, assumptions and a degraded flag. Research only, no orders.