"styled-components" matching MCP servers:

Aggregates 17 free, keyless research sources into a single MCP server, enabling unified search for papers, code, models, trends, standards, and electronic components with deduplicated results.

Provides programmatic access to Next Generation Science Standards (NGSS) for middle school education with 8 powerful tools for standard lookup, search, filtering by 3D framework components, and intelligent curriculum unit planning.

MCP server for UI research that helps agents discover visual patterns, generate original HTML/CSS components, and track deliverables without copying third-party code.

Read-only MCP tools for authenticated Open Science Framework projects, components, files, and contributors.

Enables controlling desktop ChemDraw from a terminal or MCP-connected assistant to create and edit native molecular structures, reaction schemes, styled figures, and batch exports, with editable CDXML and audit trails.

Provides access to EODHD financial APIs for stock prices, earnings, fundamentals, and index components via MCP.

RiskModels decomposes any US stock or portfolio into market, sector, subsector, and residual risk components with executable ETF hedge ratios — enabling portfolio managers to understand risk exposure and construct precise hedges programmatically.

Enables searching for electronic components through the Nexar Supply API, providing detailed part information including manufacturer, pricing, specifications, and datasheets.

Enables AI agents to search and retrieve source-linked robotics projects, bills of materials, and technical components, compare components, and validate RPPS documents via a remote MCP endpoint.

Enables AI agents to generate UNHCR-styled data visualizations including bar, line, pie, and scatter charts with refugee and population data, returning charts as base64-encoded images.

Advanced server for simulating financial models and stochastic processes, offering tools for generating simulations, calculating financial metrics, and visualizing results with interactive components.

MCP server for analyzing transformer language model internals, exposing tools to trace attention heads and neurons responsible for predictions, get activation statistics, ablate components, and sketch circuits.

Enables agents to run statistics and data-science computations over numerical streams using only the Python standard library, including Z-score/IQR anomaly detection, Holt linear forecasting, Welch's t-test hypothesis evaluation, gradient-descent multivariate regression, and power-iteration SVD/PCA dimensionality reduction. Exposes these capabilities over JSON-RPC 2.0 stdio so clients like Claude Desktop, Cursor, and Windsurf can project high-dimensional feature vectors into principal components without any external dependencies.

Provides data-driven cover letter coaching by analyzing tone, keywords, and structure using a database of successful examples and corporate strategy reports.