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Enables MCP clients to connect to SAP ABAP systems and retrieve development information such as source code and table structures.

A Model Context Protocol server that facilitates communication between ABAP systems and MCP clients, providing tools for managing ABAP objects, handling transport requests, and performing code analysis to enhance ABAP development workflows.

MCP server for SAP ABAP development via the ADT API. Connect AI assistants to your SAP system — read, write, test, and deploy ABAP code without SAP GUI.

An MCP server that provides semantic Ada language features like navigation, diagnostics, and code intelligence to AI coding agents by wrapping the Ada Language Server.

Multi-system MCP server for reading and writing ABAP source via SAP ADT, with a local web admin, browser-based login, and tools for source navigation, editing, activation, testing, and debugging.

MCP server for SAP ABAP development, enabling AI assistants to read, create, update, and delete ABAP objects via ADT APIs.

Enables AI assistants to search, understand, and generate code for design system components by syncing and indexing a component library.

Enables AI assistants to work with SAP ABAP systems through the ADT REST API, supporting repository search, source code read/write, activation, syntax checks, and transport request management.

Enables MCP clients to work with SAP systems through development-tool APIs for object search, source retrieval and editing, syntax checks, activation, transports, debugging, refactoring, Git operations, and analysis within a single SAP session. Large results can be retrieved through paged reads.

Search and retrieve Google Apps Script libraries with AI-generated summaries and usage examples directly from MCP clients.

Multi-system MCP server for reading and writing ABAP source via SAP ADT, with write safety controls and a local web admin.

A local-first MCP server that gives AI coding agents runtime visibility and AI-managed debug logging. It replaces blind print() debugging by turning runtime execution into causal chains, allowing agents to instantly locate bugs by finding missing .success events in Python and TypeScript code. Single binary with MCP, CLI, and HTTP interfaces.

Allows Claude Code to request an independent code review from Google Antigravity (Gemini, Claude, or GPT-OSS) via the Antigravity CLI, providing a second opinion on plans or diffs.

Enables LLM agents to search, resolve and audit DTCG design tokens — finding the token behind an intent or a hard-coded color/size, checking naming grammar, auditing CSS for hard-coded or unknown tokens, arbitrating semver, and previewing token additions as JSON Patch diffs. Writes are gated behind explicit confirmation plus an opt-in flag, so every change arrives as a reviewable proposal rather than an edit.

Enables AI assistants to compile AdvPL/TLPP sources, generate and apply patches, and inspect RPO of TOTVS Protheus servers via the TDS Language Server.

Integrates Google Gemini 3.1 with Claude Code to provide web search, large codebase analysis, multimodal image understanding, and creative brainstorming, leveraging Gemini's 1M token context and Google Search grounding.

Integrates Checkov, Semgrep, Bandit, and ASH to provide comprehensive code security analysis for AI coding assistants.

Enables MCP clients to connect to SAP ABAP systems via ADT, retrieving source code, table structures, and other development information through read-only tools.

A comprehensive MCP server for frontend analysis. It provides Google Lighthouse audits, code quality checks, SEO metadata verification, accessibility analysis, and bundle optimization for React and Next.js projects.

Enables AI assistants like Claude Code to directly connect to SAP ABAP systems via the ADT REST API with read/write capabilities, featuring AI-friendly high-level tools and built-in safety measures such as read-only mode, prefix whitelisting, and automatic locking.