"Managing Clerk Authorization" matching MCP servers:

A Model Context Protocol server that enables interaction with PostgreSQL databases for analyzing setups, debugging issues, managing schemas, migrating data, and monitoring performance.

Enables ChatGPT web to interact with local Windows/WSL shell and code workspaces via an MCP server, providing file access, shell execution, and snapshot-based workspace management with per-command authorization.

Connects AI agents to microsandbox for creating lightweight sandboxes, executing code, managing files, and monitoring resources.

A Model Context Protocol server implementation that enables secure remote command execution via SSH, with features for managing and using SSH credentials.

Enables managing E2B cloud sandboxes, templates, filesystems, and processes through Model Context Protocol tools.

Acts as an AI Gateway for MCP servers using Azure API Management, implementing the latest MCP Authorization specification.

An MCP server that allows Claude Desktop to remotely control Claude Code instances for executing commands and managing files.

Enables managing local repositories, CLIs, MCP servers, and skills via MCP tools, with inventory tracking, guarded updates, and Docker-sandboxed trials.

Provides a persistent Python REPL session as a tool for executing code, managing files, installing packages, and initializing projects via the MCP protocol.

Bridges Xcode's mcpbridge to MCP clients via SSE, maintaining a single persistent process to eliminate repeated authorization prompts.

Enables WebGPT to delegate durable coding-project tasks to a local Luna worker over MCP, managing sessions, tools, permissions, memory, and recovery while preserving at-most-once execution.

An MCP server that allows managing Docker containers through natural language, enabling users to compose, introspect, and debug containers without running commands themselves.

A Model Context Protocol server that allows integration with Claude Desktop by creating and managing custom tools that can be executed through the MCP framework.

Context-Pods is a comprehensive development framework for creating, testing, and managing Model Context Protocol (MCP) servers. It provides a Meta-MCP Server that can generate other MCP servers through natural language descriptions or by wrapping existing scripts.

Provides MCP tools for managing disposable Docker sandboxes that let AI agents safely execute commands in isolated, ephemeral environments.

Enables AI assistants to interact with the MetaTrader 5 trading platform for market data analysis, placing trades, and managing trading positions. Provides comprehensive access to forex and financial market operations through the Model Context Protocol.

Enables AI assistants to interact with the Zerodha trading platform for placing stock orders, viewing portfolio holdings, and managing mutual fund investments. Provides secure OAuth authentication and real-time trading capabilities through Zerodha's official API.

Provides policy-driven runtime authorization and security evaluation for MCP-based agents, including MCP streaming HTTP gateway, mock MCP servers, deterministic agent demos, and audited tool invocation with redacted PostgreSQL audit chains.

Exposes MetaCall FaaS capabilities as MCP tools for deploying, invoking, and managing serverless functions.

MCP server that gives AI agents isolated, named Linux computers with stable IDs and lifecycle control. Supports multiple backends like Docker, Fly Machines, Modal, and E2B, with a dashboard for managing sandboxes.