"Managing Clerk Authorization" matching MCP servers:

Enables policy-first defensive security operations for MCP, providing repository and web-security analysis with controlled authorization, scoped execution, and auditability.

Security MCP server with 300+ rules for AI-generated code. Scans Next.js, Supabase, Clerk, Stripe, Prisma, Hono, GraphQL and 20+ modules. Zero config, runs locally.

Open-source scanner that finds authorization logic embedded in application code. Precision-first static analysis with per-language rule packs, externalization percentage and per-finding confidence; generates OPA/Rego policy stubs. Apache 2.0, no telemetry.

Enables LLM coding harnesses to profile authorized repositories, select applicable defensive security techniques, and report coverage and plain-language results in markdown or SARIF while keeping scans read-only and authorization-gated.

Enables a pre-push security gate that scans AI-built apps for leaked secrets, missing row-level security, authorization flaws, unverified webhooks, known CVEs, and backdoors, blocking critical pushes before code reaches main.

A read-only MCP server for GitHub that exposes 7 tools (list repos, commits, branches, pull requests, issues, file contents, search) via a Cloudflare Worker, using a single password for authorization and a fine-grained GitHub token for access control.

Enables AI coding assistants to debug and analyze JavaScript in web pages by managing scripts, breakpoints, network and WebSocket traffic, browser state, and local file inputs/outputs for continuous reverse-engineering workflows.

Enables auto-configuration and validation of React components against a glassmorphic design token system using an AST correction engine. It supports managing UI presets, enforcing design uniformity in Monaco IDE, and exporting tokens as CSS, Tailwind, or JavaScript variables.

Neo4j-backed MCP server managing code architecture dependency graphs, enabling AI agents to query impact, submit change intents, and coordinate reactive multi-agent workflows.

MCP server that runs JetBrains' ReSharper command-line tools for code inspection and cleanup, exposed to C# coding agents over stdio.

An MCP server that packs repositories into AI-friendly files using the Repomix tool, supporting local and remote repositories with size estimation and compression. It enables users to efficiently feed entire codebases into AI models while managing context window limits.

Enables agents to run semantic search across one or more local project directories by automatically maintaining a LAN-local Qdrant index with Ollama embeddings. Indexing, staleness checks, and incremental updates happen transparently, so users can query code by meaning without managing collections, chunks, or hashes.

Provides tools for analyzing project structures, searching through codebases, managing dependencies, and performing file operations with advanced filtering capabilities.

Enables inspecting and editing live marimo notebooks via a FastMCP server, offering tools for managing cells, variables, and execution.

Enables users to conduct evidence-driven product research through MCP by importing documents, extracting JavaScript code clues, recording cited facts and inferences, tracking validation, managing research lifecycles, and exporting Markdown or JSON reports. It provides 25 MCP tools for turning source materials into traceable research findings and verification plans.

Provides tools for managing tasks, searching docs, and running a heuristic quality gate to check agent output for common issues before human review.

Enables native Windows x64 debugging from MCP clients, including launching or attaching to processes, managing breakpoints, stepping, inspecting call stacks and expressions, and opening crash dumps without requiring Unreal Editor or plugins.

Enables full ABAP development workflows against SAP systems via the ADT API, including reading and editing objects, running code, managing transports, executing tests, and performing code analysis.

A Korean-centric MCP server for storing code review results and managing tasks, integrating with LLMs like Claude for review generation.

An LLM-optimized server for reverse-engineering and navigating minified JavaScript bundles by splitting them into searchable, individual modules. It enables LLMs to analyze code architecture, extract specific symbols, and perform semantic searches while efficiently managing context window usage.