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"Identifying Vulnerabilities in Phishing Techniques and Analyzing Algorithms and Data" matching MCP servers:

  • misterdev

    dcondrey
    A
    license
    A
    quality
    A
    maintenance
    An autonomous, extensible LLM build orchestrator. Give it a repo and a goal; it decomposes the goal into tasks, edits code, and gates every change on build/tests/lint, reverting regressions. Polygot, cost-aware model selection, pluggable via entry points. Ships as an MCP server so any client can drive it in plain English.
    Last updated
    10
    5
    AGPL 3.0

  • MCP Refactoring

    marshally
    A
    license
    A
    quality
    C
    maintenance
    Enables LLMs to apply Martin Fowler's 71+ refactoring patterns to codebases through a pluggable, language-agnostic architecture. Supports previewing and applying refactorings, analyzing code smells, and inspecting code structure with safe-by-default operations.
    Last updated
    5
    3
    MIT

  • Arai

    taniwhaai
    A
    license
    A
    quality
    B
    maintenance
    * taniwhaai/arai 🦀 🏠 🍎 🪟 🐧 - Policy enforcement for AI coding agents derived from existing instruction files (CLAUDE.md, .cursorrules, .windsurfrules, .github/copilot-instructions.md) — no separate YAML to maintain. Rules with prohibitive predicates (never, forbids, must_not) emit permissionDecision: deny to block tool calls in Claude Code; advisor
    Last updated
    4
    6
    Apache 2.0

  • OzBridge

    sena-labs
    A
    license
    A
    quality
    B
    maintenance
    Bridges Warp's Oz coding agent to any IDE or MCP client (Claude Code, Cursor, Codex), plus native @oz in VS Code Copilot Chat. Cross-platform (macOS/Linux/Windows), independent project using only Warp's documented public oz CLI + MCP interfaces.
    Last updated
    2
    6
    1
    MIT
  • Cerebras Code MCP Server by Cerebras

    Cerebras Code MCP Serverofficial

    Cerebras
    A
    license
    A
    quality
    F
    maintenance
    This MCP server is designed for planning with Claude Code, Cline, or Cursor and making changes with Cerebras to maximize speed and intelligence while avoiding API limits. It uses the Qwen 3 Coder model for high-quality code generation and can be embedded in IDEs.
    Last updated
    1
    51
    MIT

  • TNL

    janaraj
    A
    license
    A
    quality
    B
    maintenance
    MCP server for TNL (Typed Natural Language): per-feature English contracts for AI coding agents. 6 tools — get_impacted_tnls, retrieve_tnl, trace, propose_tnl_diff, approve_tnl_diff, verify — let agents look up relevant contracts, propose contract edits, and verify implementations against them. Drop-in via npx typed-nl init for Claude Code, Codex, Gemini.
    Last updated
    6
    14
    8
    MIT

  • worker-bridge

    trollbot2012
    A
    license
    A
    quality
    B
    maintenance
    Delegate coding tasks to external AI coding agents in isolated git worktrees with independent verification, enabling any MCP client to orchestrate multi-agent workflows.
    Last updated
    5
    MIT

  • Kage

    kage-core
    A
    license
    A
    quality
    B
    maintenance
    Shared, code-grounded memory for developers and their coding agents. Capture a learning once and the whole team plus every agent recalls it; memory is grounded in your code and stored as git-tracked JSON reviewed in PRs, with citations validated on write and stale memory withheld from recall. Works with any MCP client.
    Last updated
    11
    28
    GPL 3.0

  • LeetCode MCP Server

    jinzcdev
    A
    license
    A
    quality
    A
    maintenance
    A Model Context Protocol server that provides integration with LeetCode APIs, enabling automated interaction with programming problems, contests, solutions, and user data across both leetcode.com and leetcode.cn platforms.
    Last updated
    9
    311
    132
    MIT

  • mcp-ashigaru

    crunchtools
    A
    license
    A
    quality
    C
    maintenance
    An MCP server that enables autonomous code development by pulling GitHub issues, fixing them in a sandboxed environment, running tests, opening PRs, and promoting to production upon human approval.
    Last updated
    3
    AGPL 3.0