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  • A
    license
    A
    quality
    A
    maintenance
    Enables MCP-capable clients to query the tool registry, check install status, get tool recommendations for CTF or bug-bounty work, and run installed security tools through a governed execution path.
    15
    57
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Query GPT-5, Claude, Gemini, and Grok simultaneously through one MCP server for multi-model AI perspectives in your coding agents.
    98 npm
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Bridges the ChatGPT web UI to a local development environment over MCP, letting the model read and patch files, run real shell commands and terminals, execute tests, and control the desktop (screen, mouse, keyboard, clipboard) within user-approved folders. It adds parallel workers, goal/loop long-task control, plugin tools, and a security-hardening layer with risk-tiered shell policy, audit logging, and credential sanitization.
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    MCP server that lets Claude, ChatGPT, or VS Code build a complete, machine-checked model of your domain and generate an app from it.
    Apache 2.0
  • A
    license
    Not graded
    quality
    B
    maintenance
    Send requests to OpenAI, MistralAI, Anthropic, xAI, or Google AI using MCP protocol via tool or predefined prompts. Vendor API key required. Both STDIO and SSE transport mechanisms are supported via arguments.
    36 npm
    11
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables AI coding agents to read and write a user's Figma file through the Figma Plugin API, offline and privately, without API tokens or rate limits.
    68 npm
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    A local MCP server that lets Hermes supervise Claude Code, delegating focused coding, research, or review tasks to the Claude Code CLI and managing worker sessions, background jobs, cancellations, and read-only reviews.
    2
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Provides GitHub Copilot with 160+ AI agent personas and 1,400+ specialized skills, enabling developers to activate expert roles like backend architect or security engineer through natural language.
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Forwards normalized MCP tools to Codex or Claude Code for agentic coding tasks like starting new sessions, continuing existing ones, and checking status.
    1
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enable Claude (or any other LLM) to interactively debug your code (set breakpoints and evaluate expressions in stack frame). It's language-agnostic, assuming debugger console support and valid launch.json for debugging in VSCode.
    18 npm
    515
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables coding agents to query real SF Symbol names from the local SF Symbols app on Mac, helping generate valid SwiftUI/UIKit code without guessing.
    6 npm
    2
    MIT
  • F
    license
    Not graded
    quality
    B
    maintenance
    Enables external clients to spawn, control, observe, and terminate isolated AI coding agent sessions over MCP via stdio or Streamable HTTP, with scoped chip datasheet knowledge-base retrieval.
    -
  • F
    license
    A
    quality
    C
    maintenance
    Provides a persistent memory and governance layer that allows AI coding agents to query documented architecture rules and validate code against team standards. It enables agents to verify compliance across categories like security and testing before suggesting changes to ensure consistency across development sessions.
    3
    17
    -
  • A
    license
    A
    quality
    A
    maintenance
    Enables AI coding agents to retrieve relevant execution context before a task, compare candidate paths, log outcomes, and search past experiences stored locally in SQLite. It lets agents reuse what worked on similar tasks and get live alerts when a run stagnates or repeats failures.
    4
    12
    2
    MIT