Merge pull request #10673 from Mikhus/add-imqueue-mcp

Add imqueue/mcp

README.md

@@ -1468,6 +1468,7 @@ Tools and integrations that enhance the development workflow and environment man
 - [MikhailHal/ariadne](https://github.com/MikhailHal/ariadne) [![MikhailHal/ariadne MCP server](https://glama.ai/mcp/servers/MikhailHal/ariadne/badges/score.svg)](https://glama.ai/mcp/servers/MikhailHal/ariadne) ☕ 🏠 🍎 🪟 🐧 - Affected-test selection for Kotlin/Android projects: returns only the unit tests impacted by the current working-tree changes, so agents skip full test runs while iterating. Function-level static analysis via Kotlin Analysis API — call graph over functions, properties (initializers, delegates, accessors), constructors and callable references — with automatic multi-module and Android variant source-set discovery. Verified on Now in Android (34 modules, ~4s per query). `brew install mikhailhal/tap/ariadne`
 - [DanMat/create-packkit](https://github.com/DanMat/create-packkit/tree/main/mcp) [![DanMat/create-packkit MCP server](https://glama.ai/mcp/servers/DanMat/create-packkit/badges/score.svg)](https://glama.ai/mcp/servers/DanMat/create-packkit) 📇 🏠 - Scaffold modern npm packages, CLIs, services, and full-stack monorepos from your agent. Three tools: inspect the option schema, preview the generated file tree, and write the project to disk — optionally creating the GitHub repo and pushing to it, or merging into an existing clone without overwriting anything. Also available as a CLI and a web configurator. `npx -y packkit-mcp`
 - [MGM-FALCON/quelllm-mcp](https://github.com/MGM-FALCON/quelllm-mcp) [![MGM-FALCON/quelllm-mcp MCP server](https://glama.ai/mcp/servers/MGM-FALCON/quelllm-mcp/badges/score.svg)](https://glama.ai/mcp/servers/MGM-FALCON/quelllm-mcp) 🐍 ☁️ 🍎 🪟 🐧 - MCP server for [quelllm.fr](https://quelllm.fr) — open-weights LLM catalog (250+ models with params, VRAM by quantization, tokens/sec, license). Tools: `list_models`, `get_model`, `compare`, `estimate_vram`, `estimate_cost` (API providers vs self-hosted hardware in EUR), `search_models`. Useful when picking a local model that fits your GPU/Mac.
+- [imqueue/mcp](https://github.com/imqueue/mcp) [![imqueue/mcp MCP server](https://glama.ai/mcp/servers/imqueue/mcp/badges/score.svg)](https://glama.ai/mcp/servers/imqueue/mcp) 📇 🏠 - Search @imqueue docs and scaffold typed services & clients for AI coding agents, access CLI and manage your service fleet.
 ### 🔒 <a name="delivery"></a>Delivery
 
 - [jordandalton/doordash-mcp-server](https://github.com/JordanDalton/DoorDash-MCP-Server) 🐍 – DoorDash Delivery (Unofficial)