MCPMarket
Sell SkillsPower Your AgentsConnect
  1. Home
  2. Servers
  3. SHIM

SHIM

duke-of-beansbyduke-of-beans
•
Developer Tools
Data Science & ML
Deployment & DevOps

Automate code quality analysis, identify improvement opportunities, and coordinate multi-AI agents for software development.

Related MCPs

View more
  • neondatabase-labs

    Neon

    Enables natural language interaction with the Neon Management API and databases through the Model Context Protocol.

  • GLips

    Figma Context

    Provides AI coding agents with simplified Figma layout information via the Model Context Protocol.

  • 21st-dev

    Magic

    Generate modern UI components instantly from natural language descriptions within your IDE.

Related Skills

View all
  • openclaw

    Diagram Maker & Visualizer

    Generates professional SVG, HTML, and Excalidraw diagrams for software architecture, system flows, and educational concepts.

  • openclaw

    GH Issues Auto-Fixer

    Automates the end-to-end GitHub issue lifecycle by spawning sub-agents to implement code fixes, open pull requests, and resolve review comments.

  • openclaw

    Discord Integration

    Manages Discord operations including messaging, reactions, and channel management directly through Claude.

MCPMarket

Discover MCP servers that connect MCP clients like Claude and Cursor to your favorite tools. Browse the MCP Market to get started.

Browse

  • MCP Search
  • MCP Servers
  • MCP Clients
  • Agent Skills
  • MCP Market Hub
  • Categories
  • What is an MCP server?
  • Model Context Protocol

Rankings

  • Top MCPs Today
  • Top Agent Skills Today
  • Top 100 Agent Skills
  • Top 100 MCP Servers

About

  • News
  • Submit
  • Contact

© 2026 MCP Market. All rights reserved.·Privacy·Terms

SHIM is an autonomous infrastructure designed to tackle the challenge of maintaining code quality in rapidly evolving AI-native products. It analyzes existing code through AST-based complexity scoring and pattern detection, generating ROI-ranked improvement suggestions. Built on 'LEAN-OUT' principles, SHIM leverages battle-tested infrastructure like Redis and BullMQ for plumbing, focusing custom code on domain-specific intelligence, enabling safe deployment via approval gates and coordinating multiple AI agents for parallel analysis.

Key Features

01AST-based code complexity scoring and pattern detection
02ROI-ranked code improvement suggestions
03Multi-AI agent coordination for parallel analysis tasks
04Safe deployment with integrated approval gates
05Distributed infrastructure leveraging Redis and BullMQ for job queues
060 GitHub stars

Use Cases

01Automating code quality analysis for AI-native software projects
02Prioritizing code improvements based on estimated return on investment
03Orchestrating multiple AI agents for parallel code inspection and refactoring