MCP servers that give coding agents real developer tooling: linters, package registries, test runners, language docs and local build commands. 13,969 servers in this category.
Enables AI coding agents to create, configure, and build game projects in Unity, Unreal Engine, or Godot using MCP tools.
Run local AI CLIs and OpenAI-compatible APIs as MCP tools with background job support and durable state management.
A programmable MySQL CMS that provides a React Studio, REST API, and integrated AI and MCP endpoints for content management.
Provides a unified foundation of skills, MCP tools, and project knowledge for multiple AI coding applications on Windows.
Scans AI-generated code for security vulnerabilities like leaked keys, SQL injection, and prompt injection using an offline, zero-telemetry engine.
An open-source desktop agent that manages local folders using cloud or local models with a focus on user-controlled execution.
Provides structured, sequential engineering workflows and context-aware prompts to help AI models build complete software projects.
Tracks LLM prompt cache costs using EOQ theory to help users decide when to restart or hand off coding agent sessions.
Enables Claude Desktop to interact with filesystems, databases, Git repositories, REST APIs, and Docker containers for full-stack development.
An open-source coding agent that runs on your own machine or server to execute, verify, and undo code edits using any AI model.
Connects MCP clients like Claude, Cursor, and VS Code to three.ws hosted servers for 3D generation, AI agents, and Solana data.
Connects MCP clients to three.ws to provide AI assistants with 3D generation, agent wallets, and Solana token data.
An evidence-driven AI development workbench that connects model evaluation, project context, and controlled agent execution.
An open-source agent OS and runtime harness that enables deterministic AI execution, agent-to-agent swarm collaboration, and auditable lineage.
Provides a persistent memory bank and dashboard for AI agents using Supabase pgvector and MCP to manage context, priority loading, and multi-agent workflows.
Provides AI assistants with daily-synced, searchable access to FeexPay payment API documentation in English and French.
Build Web3 applications by allowing AI agents to select blockchain chains, architectures, stacks, and data layers.
$claude mcp add --transport http agent-plugins https://mcp.quicknode.com/mcp
Provides AI agents with production-grade QA engineering expertise across frontend, API, performance, mobile, security, and CI testing.
Enables AI agents to start, monitor, and stop background processes like development servers, builds, and tests.
Provides local-first persistent memory for AI coding agents to remember, recall, and manage project context across sessions.
$claude mcp add norn -- npx -y @samad001z/norn-server