imqueue/mcp
by Various
Model Context Protocol (MCP) server for @imqueue — lets AI coding agents (Claude Code, Cursor and others) search the docs, scaffold typed services & clients and use @imqueue/cli li
MCP
imqueue/mcp
Added 3 Sept 2026
Overview
Model Context Protocol server for @imqueue that exposes documentation search, service and client scaffolding, and live CLI access to AI coding agents like Claude Code and Cursor. Built in TypeScript, it integrates with the imqueue ecosystem to let agents generate typed services and clients directly.
Best for
Best for
Teams building with @imqueue who want AI agents to handle docs and scaffolding
Use cases
- Search @imqueue documentation from an AI agent
- Scaffold typed services and clients via natural language
- Invoke @imqueue/cli commands live from a coding assistant
Notes
Model Context Protocol server for @imqueue that exposes documentation search, service and client scaffolding, and live CLI access to AI coding agents like Claude Code and Cursor. Built in TypeScript, it integrates with the imqueue ecosystem to let agents generate typed services and clients directly.
1 stars on GitHub. Last updated 2026-08-30. Licensed GPL-3.0.
Use cases
- Search @imqueue documentation from an AI agent
- Scaffold typed services and clients via natural language
- Invoke @imqueue/cli commands live from a coding assistant
Pros
- Direct integration with Claude Code and Cursor
- Enables agent-driven scaffolding without leaving the IDE
- TypeScript-based, fits imqueue’s typed ecosystem
Cons
- Very low adoption (1 star) suggests limited community validation
- Requires the @imqueue ecosystem to be useful
- Scope is narrow, focused only on imqueue tooling
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Direct integration with Claude Code and Cursor
- Enables agent-driven scaffolding without leaving the IDE
- TypeScript-based, fits imqueue's typed ecosystem
Cons
- Very low adoption (1 star) suggests limited community validation
- Requires the @imqueue ecosystem to be useful
- Scope is narrow, focused only on imqueue tooling
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
Pairs with
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