"SVG" matching MCP servers:

Enables literature search, local Zotero reading, PDF parsing, citation tools, materials data, and scientific image generation for coding agents through a local Python MCP server.

Zero-auth hosted MCP for AI builders: optimize/convert images (WebP/AVIF/JPEG), paste-ready SVG QR codes, plus cited Cleanor Labs data on device storage capacity and next-gen image-format savings. No API key or signup.

Generates family pedigree tree diagrams as PNG or SVG images using standard genetic notation compliant with Bennett 2008/2022 NSGC guidelines. Supports comprehensive genealogical features including conditions, genetic testing results, twin relationships, carrier status, and adoption indicators.

MCP server that turns coding agents into data analysts: attach CSV/Parquet/JSON/XLSX or databases, profile data, run read-only SQL, and render Vega-Lite charts as SVG files.

Enables agents to run zero-dependency statistical analysis natively over MCP, including Power Iteration PCA/SVD dimensionality reduction, Holt linear forecasting, modified Z-score and Tukey IQR anomaly detection, Welch's t-test, and multivariate gradient-descent regression on numerical data streams. Projects high-dimensional feature vectors into principal component representations without any external libraries.

Enables local folder analysis of unstructured documents (PDF, DOCX, PPTX, TXT, SVG, PNG, CSV, XLSX) by extracting structure, reading content, and generating reports, with a strict approval gate before any save operation.

Enables AI agents to access Amazon commerce intelligence, WIPO design-patent data, Google Trends, and local market data through 19 business data tools via a stdio bridge to a hosted MCP server.

Enables AI agents to research Amazon reviews and voice-of-customer signals through read-only tools for paginated reviews, complaint evidence, rating summaries, media filtering, and side-by-side comparisons of two products.

Local paper-trading and market simulation MCP server for multi-account portfolios, advanced orders, options/futures, backtesting, alerts, and automation.

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.

AI knowledge marketplace for China data via x402 payments. Access university reports, industry briefings, and web content through Base chain USDC payments.

Fetches the complete record of a single patent by publication number — full claims, paged description text, CPC classifications, worldwide family with legal status, backward/forward citations, legal events and prosecution timeline — rendered as compact Markdown for an LLM. It does not search, and is meant to be paired with a keyword search server to go from candidate publication numbers to full patent details.

A production-quality MCP server for querying Cisco security advisories via the PSIRT OpenVuln API v2, enabling LLM-powered interfaces to search, filter, and analyze Cisco vulnerability data.

Enables access to scientific simulation documentation and code snippets for simulators like PyBaMM and Cantera. Provides AI-powered search and retrieval of simulation examples and documentation through natural language queries.

An MCP server that integrates Zotero and MinerU pipelines to import and manage academic literature in an Obsidian vault, enabling automated note creation, PDF parsing, and vault maintenance.

Provides programmatic access to causal discovery, topological data analysis, Gaussian process belief updating, thermodynamic auditing, and HCHL inference for agents and researchers.

Zero-config MCP server that enables AI assistants to search and preview Kaggle datasets directly, with smart token trimming for efficient context usage.