"Connecting Feishu (Lark)" matching MCP servers:

A comprehensive bridge connecting AI agents to Unreal Engine 5.7 through 39 MCP tools for scene manipulation, asset management, and blueprint control. It enables real-time perception and editor automation using the Remote Control API and file-based protocols.

Enables creation of complete metamodels and model instances through natural language interaction by connecting Large Language Models to the MM-AR metamodeling platform.

Enables translation of geometric bounding boxes, flowchart node connections, and architectural sketches into clean Mermaid graphs, JSON topology matrices, and boilerplate code scaffolds.

Enables AI agents to create, edit, validate, and auto-layout Camunda 7 BPMN diagrams through semantic tools — adding elements, connecting flows, and patching models under revision-checked locks — while changes stay in sync with a shared browser modeler.

Enables AI agents to read and draw on self-hosted Excalidraw boards, listing and creating boards, adding, updating and deleting elements such as labeled shapes and connecting arrows, and finding library icons to place. Changes appear live on any board the user has open.

Local-first cross-service code intelligence engine for AI agents, connecting frontend, gateways, backend services, and databases to enable impact analysis and change planning.

Enables coding agents to analyze Python source with AST-based static analysis, detect circular dependencies across monorepo packages via Tarjan SCC, and produce a topological build order with Kahn's algorithm along with refactoring plans and graph metrics. Runs with zero external dependencies over MCP from Claude Desktop, Cursor, or any compliant client.