"Foundry Virtual Tabletop" matching MCP servers:

Enables AI coding assistants to look up KUKA system variables and KSS alarms, lint and diagnose KRL projects, perform industrial safety audits, and read live controller telemetry from KRC4/KRC5 or virtual controllers.

Enables MCP clients to inspect and interact with VS Code virtual workspaces and live editor buffers, including reading, searching, editing, saving, and diagnostics without shell access.

Enables AI coding agents to work a full SAP ABAP developer seat over the Model Context Protocol — searching, reading, creating, editing, activating, syntax-checking, unit-testing, transporting and debugging ABAP objects through the ADT REST surface in a target ABAP system. Runs on SAP BTP Cloud Foundry behind browser OAuth with role-gated read/write access, package allowlists and destination-held backend credentials, so no credentials reach the developer's machine.

Enables interaction with Microsoft SQL Server databases through a virtual filesystem interface, comprehensive stored procedure management with draft-test-deploy workflows, safe write operations with transaction control, and performance analysis capabilities.

Raze is an MCP server that integrates with AI assistants to analyze, validate, and prove smart contract security issues using deterministic Foundry execution.

Enables LLM clients to index Java, Python, TypeScript, and JavaScript projects into a persistent property graph and query callers, callees, execution paths, virtual dispatch, aspect advice, framework wiring, annotations, and external dependencies through MCP tools.

Enables live pub.dev search, official Flutter/Dart references, static project diagnostics, workflow generation, dependency vulnerability scanning, and an SVG-Edit + Playwright icon workflow through MCP.

Turns any codebase into a working MCP server by analyzing GitHub repos or uploaded code, discovering capabilities, and generating a runnable FastMCP server with curated connections.

MCP server for developing and maintaining pyRevit extensions with static analysis, including scanning layout, import auditing, duplicate detection, and automated bundle.yaml generation, without requiring Revit runtime.

Unifies multiple Delphi decompiler engines behind one MCP interface so AI agents can recover class, method, RTTI, and virtual-table symbols from 32/64-bit Delphi binaries (versions 2–13) and gather triage intel such as strings, sensitive imports, DFM forms, and call graphs. It also emits address-to-symbol rename plans (queries, .idc, or JSON) that can be pushed into IDA for interactive analysis.

Compiles 10 languages into a local AST and Stack Graphs relational index, exposing 12 MCP tools for sub-50ms blast-radius, centrality, and pathfinding queries that cut agent context token burn by ~85%. It also enforces architectural compliance through in-memory Virtual AST workspaces, embedded Datalog policy proofs, zero-config Louvain modularity (ΔQ) gates, and post-edit scope-creep audits.