"Technology pre-research resources" matching MCP servers:

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

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

Enables LLMs to generate visual summary reports from CSV datasets using MCP Resources, Tools, and Prompts, without exposing raw data to the model.

MCP server that exposes ArchSmith's diagram rendering and validation as tools, along with schema and registry resources, enabling AI agents to generate consistent SVG architecture diagrams from validated JSON descriptions.

A production-grade MCP server for enterprise sales analytics, enabling LLM clients to query, analyze, and visualize sales data from a SQLite database through structured tools, resources, and prompts.

An MCP server that enables AI assistants to query databases, execute SQL, and manage Metabase resources like dashboards, cards, and collections through natural language.

An MCP server for rendering common ECharts visualizations from structured tool arguments, exposing per-chart opener tools that map to independent HTML app resources.

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.

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.

Exposes tools and resources for human-supervised geological modelling from borehole data, including validation, 3D implicit model construction with GemPy, and uncertainty analysis, with a deterministic audit trail.

Enables agents to inspect and analyze ROS recordings through MCP tools and resources, including topic indexing, frame/point-cloud/depth sampling, IMU/odometry series, calibration, and exportable clips, previews, and reports. It provides bounded queries and materialization of analysis artifacts without requiring a ROS installation.

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.

Provides tools and resources for building Essential Viewer XSL views using validated v2.0 patterns, including scaffold generation, API guidance, and bundled documentation.

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 MCP-compatible AI clients to query, analyze, and mutate Oracle Primavera P6 schedules from XER files or live P6 EPPM, with tools for critical path, DCMA compliance, earned value, resources, baselines, and exports.