MCP servers that give coding agents real developer tooling: linters, package registries, test runners, language docs and local build commands. 13,963 servers in this category.
Shares local MCP servers across multiple coding agent sessions to reduce memory usage and backend startup overhead.
Provides an AI-assisted development environment with documentation linting, task registry, code intelligence, and a local MCP server.
Provides model advice, task completion checks, and step inspection for coding agents like Claude Code and Codex.
Provides a toolkit of slash commands, skills, and MCP servers to help Claude Code plan, build, check, and ship software.
Allows an AI assistant to execute pre-approved SSH commands on a single fixed host with a mandatory confirmation gate.
Provides tools for generating Arabic PDF invoices, validating ZATCA QR codes, and performing Arabic text-to-number conversion (tafgeet).
Provides production-oriented examples for integrating XPayr payment sessions, hosted checkout, webhooks, and merchant integrations.
Provides a Postman collection and environment templates for testing the XPayr Merchant API and managing the testnet payment lifecycle.
Orchestrates AI agent toolchains by managing MCP servers, skills, and vendor tools through a unified command-line interface.
Provides a collection of reusable agent skills, coding rules, and MCP servers to enhance AI coding agents like Claude Code and Cursor.
Synchronizes Claude Code folders, project MCP configurations, and Claude Desktop settings across Windows and Mac using symlinks.
Enables AI chat in VS Code to access 26 hosted services for image generation, video, music, web extraction, and search without local setup.
Scaffolds production-ready Model Context Protocol servers with TypeScript, validation, and CI-ready templates.
Provides a foundational template for building and deploying Model Context Protocol servers for AI and automation tool APIs.
Provides a centralized web console and relay to manage, monitor, and control AI coding agents like Claude Code and Codex.
Scans MCP server configurations for security risks like sensitive path exposure, hardcoded secrets, and unpinned packages.
Exposes MCP servers as native tools within the DeepSeek Harness environment using stdio, streamable-http, and legacy SSE transports.
Delegates bounded coding tasks to OpenAI-compatible models with explicit path restrictions, diff validation, and risk-based routing.
Enables an AI client to seek a second opinion from Claude by reviewing proposed changes before implementation and inspecting diffs after execution.
Generates OpenAPI 3.1 documentation and MCP servers automatically from live API traffic using Express middleware or a reverse proxy.
