"sap business one" matching MCP servers:

Offline MCP server for SAP ABAP static analysis, ABAP Cloud readiness scoring, and RAP scaffolding. It enables AI agents to lint ABAP source, compare reworks, check released APIs, and generate RAP business objects without needing an SAP system.

Enables developers and product owners to scan a codebase and extract a readable business overview—features, roles, access control, data model, and endpoints—along with findings on missing or inconsistent rules, and generate shareable HTML or Markdown reports and diagrams.

Enables AI agents to draw SAP BTP solution diagrams on a live draw.io canvas from plain-language descriptions, using 111 built-in SAP BTP icons and the official SAP BTP Solution Diagram grammar. It auto-loads a drawing constitution and exposes guideline and example tools so colours, connector semantics, and area nesting follow SAP conventions.

Provides programmatic access to SAP Fiori Jetpack Compose UI SDK documentation, including API references and feature guides. It enables users to list, search, and retrieve content from over 6,000 documentation files to support Android development.

AI-native architecture diagramming for MCP clients (Claude Code, Cursor, Windsurf). The calling agent authors the graph (nodes, groups, edges); Flowgraf validates it, lays it out deterministically with ELK, renders an SVG + Mermaid, and returns a link to a live, editable canvas you can refine by chat, drag, or one-click AI design review. Agent-authored ops — no API key and no LLM cost to the calle

diagramzu-mcp lets an AI client (Claude, Cursor, ChatGPT, etc.) author Mermaid diagrams in a shared workspace that a team can read, comment on, embed, and present at a clean URL — rather than just generating a one-off diagram. Hosted endpoint https://mcp.diagramzu.ai/mcp or local npx -y @diagramzu/mcp. Also listed in the official MCP registry as ai.diagramzu/mcp.

Turns messy operational documents, SOPs, incident playbooks, spreadsheets, and business communications into faithful, source-grounded visual workflows directly inside Claude Desktop, Cursor, Zed, Windsurf, or any MCP-compatible agent. It also supports revising existing workflow graphs while preserving citation integrity and retrieving stored visual artifacts by ID.

An MCP server that analyzes and traces business code flows across your codebase, enabling developers to quickly understand the complete execution path of features from frontend to backend to database.

Enables AI assistants to create and manage one BPMN 2.0 diagram at a time, including Mermaid conversion, validation, layout, persistence, and XML or SVG export.

Automatically generates mind map images from text content using Coze API workflow. Returns accessible image links that can be used in MCP-compatible tools like CodeBuddy, Cursor, and Qoder.

We built a hosted MCP server that gives AI agents two capabilities through a single connection: 1. img-forge — Image generation across 5 quality tiers (SDXL Lightning to Gemini 3.1 Flash). One tool call, 5-30 seconds, done. 2. Stackbilder — Full-stack architecture scaffolding. Describe a product, get a 6-mode pipeline (Product → UX → Risk → Architect → TDD → Sprint)

Enables read-only access to generated technical documentation across one or multiple documented repositories, exposing tools to search code and docs, inspect modules and symbols, list gaps, review architecture, and check freshness with file#line citations.

Enables AI agents and reviewers to query a deterministic code dependency graph for callers, routes, pages, tables, and config with file:line evidence instead of grepping. One server can serve many indexed graphs, supporting cross-repository impact analysis.

Turns real technical work from a Claude Code session into a saved, professional design doc with one slash command, no copy-pasting or signup required.

MCP server that analyzes codebases to provide dependency graphs, impact analysis, and file insights across 15+ programming languages, enabling AI assistants to understand project structure and navigate code efficiently.

Enables agents to generate a JSON sitemap of how a path through a TypeScript/JavaScript codebase runs, capturing the summary, areas, every step with its file, lines, description, calls and data, and the links between services. The resulting document can be opened in a viewer that draws the same map as a single page, and rebuilt in CI to keep system documentation current.

Enables MCP clients to build Logisim circuits from natural language by adding pins, gates, LEDs and wires through tools that return exact port coordinates, then saving the result as a .circ file. It also runs Logisim's own loader to read the file back and report dangling wire ends and multi-driver shorts.

Turns a codebase into business-language flow diagrams that an AI can read and edit, enabling natural language querying and modification of system architecture.

Enables MCP-compatible AI agents to read and write architecture-map projects and diagrams with per-project access controls via OAuth 2.1/PKCE.

Generates tailored system architecture recommendations based on business parameters like QPS, concurrent users, database type, and AI model size, providing resource allocation plans, middleware suggestions, and exportable architecture diagrams.