"Access GEO Biomedical Datasets" matching MCP servers:

A read-only MCP server that gives AI agents access to Sparx Enterprise Architect models, enabling search, navigation, and reading of elements, packages, scenarios, and connectors from .qea exports without a running EA instance.

An MCP server that generates diagrams from Mermaid code in multiple formats (PNG, PDF, SVG).

Enables MCP-capable coding agents to access SkeletIQ architecture releases, including reading designs and build orders, generating and critiquing architectures, and reporting build progress and drift.

Gives AI agents instant access to software architecture, dependencies, and impact analysis through pre-computed sgraph models, replacing dozens of grep/read cycles with a single tool call.

An MCP server that generates standalone SVG architecture diagrams from text descriptions, running entirely on your machine with no dependencies or network access.

MCP server bridging ChatGPT-compatible clients to the Design Flow System, enabling project session management, draft import, round locking, and read-only access to design state and traceability.

Enables MCP clients to scope and generate safe Odoo add-on starters locally, including drafting architecture plans, creating 11-file add-on scaffolds, validating them, and saving files to disk—all without API keys or network access.

A training MCP server that demonstrates how GitHub Copilot can securely access internal banking APIs, documentation, and architecture review prompts.

Provides comprehensive design principles and best practices to help LLMs generate modern, accessible web pages through guidance on layouts, colors, and typography. It enables users to review design approaches and access expert recommendations for responsive design, component structure, and current industry trends.

Provides AI assistants with access to Apple's Human Interface Guidelines and technical API documentation across all Apple platforms (iOS, macOS, watchOS, tvOS, visionOS), enabling unified search of design principles and implementation details.

Enables LLMs to work with the Optics Design System, providing access to 83 design tokens (HSL-based colors, spacing, typography), 24 components with dependencies, and tools for theme generation, accessibility checking, and code scaffolding.

Provides programmatic access to Arcas OnlineEDA platform for electronic design automation, enabling formal verification, equivalence checking, power analysis, security verification, and FPGA design through natural language and automated workflows.

Enables AI agents to access an organization's software component catalog, including entities, relationships, interfaces, documentation, and team ownership, for grounded context and impact analysis.

Enables AI agents to programmatically access self-hosted Penpot instances to read, create, modify, and export design elements through natural language. It provides 66 tools for managing projects, shapes, design tokens, and comments using a dual-access strategy of direct database reads and RPC API writes.

Enables read-only access to Sparx Systems Enterprise Architect repositories stored in various database systems via ODBC, allowing AI assistants to browse and query model data without requiring Windows or a running EA instance.

Enables creating and editing draw.io diagrams from structured descriptions, rendering them as interactive inline SVGs, and providing access to the full draw.io editor for further modification and export.

Provides access to a universal design token system with 7 pre-built themes (colors, typography, spacing, motion) and multi-format export capabilities for Canva, Remotion, PPTX, CSS, and W3C JSON.

Provides agents with read-only access to local code architecture graphs (structure from tree-sitter, semantic summaries from LLMs), including per-workspace graph/config/status/rebuild tools, while enforcing that topology comes only from static analysis.

Enables AI assistants to fully access and manipulate Godot editor projects, including scenes, scripts, nodes, and settings, with an interactive visualizer.

Retrieves architectural information from ArchiMate models, enabling AI coding assistants to access architectural context during the software development lifecycle. Supports search and retrieval of views and elements in markdown, JSON, or YAML.