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"CodeQL for Code Auditing" matching MCP servers:

  • Code Reasoning MCP Server

    mettamatt
    A
    license
    A
    quality
    D
    maintenance
    An enhanced sequential thinking tool optimized for programming tasks that helps break down complex coding problems into structured, self-auditing thought steps with branching and revision capabilities.
    Last updated
    1
    40
    255
    MIT

  • code-shot

    thesimonharms
    A
    license
    A
    quality
    B
    maintenance
    Renders source code as beautiful SVG or PNG images with syntax highlighting, line numbers, and diff support. Ideal for AI agents to present code visually to humans or for sharing snippets.
    Last updated
    2
    188
    MIT

  • xlsx-for-ai

    senoff
    A
    license
    A
    quality
    A
    maintenance
    50 tools and 400 functions for working with Excel/.xlsx spreadsheets — read/write, recalculate formulas, diff, repair broken references, and audit. Built for AI agents.
    Last updated
    50
    806
    4
    MIT

  • claude-code-organizer

    mcpware
    A
    license
    A
    quality
    A
    maintenance
    MCP server + web dashboard for managing Claude Code's scope hierarchy. 4 tools: scan_inventory, move_item, delete_item, list_destinations. Scans ~/.claude/, shows scope inheritance tree, drag-and-drop between scopes. Also serves as a standalone web dashboard at localhost:3847.
    Last updated
    5
    87
    354
    MIT

  • QR for Agent

    benswel
    A
    license
    A
    quality
    B
    maintenance
    Dynamic QR code platform for AI agents. Create, customize, and track QR codes without regenerating images. 37 tools covering 11 QR types (URL, vCard, WiFi, event…).
    Last updated
    37
    2
    MIT

  • MCP Code Executor

    bazinga012
    A
    license
    A
    quality
    F
    maintenance
    Allows LLMs to execute Python code in a specified Conda environment, enabling access to necessary libraries and dependencies for efficient code execution.
    Last updated
    9
    212
    MIT

  • code-mode-toon

    ziad-hsn
    A
    license
    A
    quality
    C
    maintenance
    A lightweight Model Context Protocol (MCP) orchestrator designed for efficiency at scale. It features TOON compression (reducing token usage by 30-90%) and Lazy Loading, making it the ideal solution for complex, multi-tool agentic workflows.
    Last updated
    9
    5
    13
    MIT

  • mcp-code-indexer-react-ts

    Nishant-Chaudhary5338
    A
    license
    A
    quality
    A
    maintenance
    Indexes any TypeScript / React / Next.js repo into a queryable code graph and exposes 13 MCP tools — who-renders, who-calls, find-references, blast-radius, find-cycles, dead-code orphans, and local semantic search — so agents query structure instead of reading whole files. Built on ts-morph, so edges are resolved, not grepped.
    Last updated
    14
    1
    MIT

  • MCP Server for Splunk

    deslicer
    A
    license
    A
    quality
    B
    maintenance
    Enables AI agents to interact seamlessly with Splunk environments through 20+ tools for search, analytics, data discovery, administration, and health monitoring. Features AI-powered troubleshooting workflows and supports multiple Splunk instances with production-ready security.
    Last updated
    53
    27
    Apache 2.0

  • open-code-review

    raye-deng
    F
    license
    A
    quality
    B
    maintenance
    AI-powered code review tool that detects AI-generated code defects invisible to traditional linters — hallucinated packages, deprecated APIs, cross-file contradictions, hidden security anti-patterns, and over-engineering. Works as a standalone CLI, GitHub Action, or MCP server. Supports TypeScript, Python, Java, Go, and Kotlin. Free for individuals, no API key required.
    Last updated
    4
    28

  • better-code-review-graph

    n24q02m
    A
    license
    B
    quality
    A
    maintenance
    Knowledge graph for token-efficient code reviews. Builds a structural map of your codebase with Tree-sitter, tracks changes incrementally, and gives AI agents precise context via MCP tools. Features fixed multi-word search, qualified call resolution, dual-mode embedding (ONNX local + LiteLLM cloud), and output pagination.
    Last updated
    7
    66
    MIT