"Laravel 12 PHP Framework" matching MCP servers:

A TypeScript framework for building Model Context Protocol (MCP) servers with automatic discovery and loading of tools, resources, and prompts.

MCP-native agent evaluation and observability server. Log traces, evaluate output quality with 12 built-in rules (PII detection, prompt injection, cost thresholds), and track agent costs. Real-time dashboard, OTel-compatible spans. Self-hosted, MIT licensed.

A communication framework that enables multiple AI agents to collaborate through asynchronous messaging, agent registration, and discovery. It facilitates complex task coordination and real-time discussion across distributed agent workflows using the Model Context Protocol.

Multi-agent AI consultation framework for Claude Code via MCP — get second opinions from OpenAI, Gemini, Qwen, DeepSeek

Universal governance layer for AI agents — MCP-native, fail-closed, LNN interpretability. Governed receipts, IPFS audit proofs, and rollback for any agent in any framework.

Human-in-the-loop automation framework. Log them in, watch them run.

Enables LLMs to perform browser automation through the Playwright framework with Chrome DevTools Protocol support, connecting to existing Chrome instances for advanced web interactions and JavaScript execution.

A demonstration MCP (Model Control Protocol) server built with FastMCP framework that allows integration with Claude Desktop, Cursor, and Claude Code IDEs.

An MCP server that provides integration with Microsoft's AutoGen framework, enabling multi-agent conversations through a standardized interface.

Provides comprehensive documentation about AWS AgentCore framework to GenAI tools, enabling users to build production-ready AI agents with enterprise-grade security, observability, and scalability. Offers guidance on identity management, API integration, monitoring, code execution, memory storage, and tool integration for AI agents.

A Model Context Protocol (MCP) server that demonstrates how to build and implement custom tools for Claude using the mcp-framework.

x402 Micropaid MCP Server — 120+ paid API endpoints for AI Agents. Pay per call with USDC on Base network. No signup, no API key needed.

A server built with mcp-framework that allows users to extend Claude's capabilities by adding custom tools that can be used through the Claude Desktop client.

Provides a constitutional governance framework for AI agents, offering MCP tools for session initiation, reasoning, evidence fetching, judgment, and execution, all governed by hard invariant laws and a hierarchical set of constitutional floors.

AI-native orchestration layer with 80+ tools for task management, code editing, browser automation, terminal control, and persistent memory across CLI, local MCP, and cloud deployments.

A modular, extensible Model Context Protocol server framework designed for Claude Desktop that uses convention-based automatic module discovery to easily extend AI application functionality without modifying core code.

An MCP gateway that automatically turns Django REST Framework ViewSets into callable MCP tools with zero boilerplate, featuring a token-efficient dispatcher pattern to minimize context usage.

A lightweight server that exports CAMEL framework toolkits as MCP-compatible tools.

tani (谷, "valley") is an agent-native hub. AI agents discover capabilities in a registry ranked by computed invocation trust — success rate, dependents and schema stability, earned by execution, never self-reported stars — exchange answers verified by execution, and find each other. tani-mcp puts the hub inside an agent's loop as 12 tools: resolve a capability by intent + constraints, describe a s

A declarative framework that manages LLM resources, prompts, and tools through YAML configuration files. It enables LLMs to interact with external data, CLI commands, and Python functions using the Model Context Protocol.

Enables AI agent and task management using the CrewAI framework, allowing users to create and run agents and tasks in an automated workflow environment.

A distributed MCP server framework enabling scalable task execution across multiple nodes with streamable HTTP transport, integrated authentication, and real-time streaming via the Asgard infrastructure.

Enables Codex to send structured data and render compact canvas artifacts beside native answer text on Even Realities G2 glasses, using authenticated stdio or Streamable HTTP transport with strict schemas, revisions, expiry, and delivery receipts.

Analyzes AI agent URLs, detects framework capabilities, and generates ready-to-use MCP configurations for MCP clients.

🎬 Enterprise-grade MCP Server for Creatify AI - 12 tools for AI video generation: avatar videos, URL-to-video, AI shorts, custom avatars, script generation, advanced lip-sync with emotion control. Complete API coverage with semantic versioning.

This server provides a standardized framework using the Model Context Protocol (MCP) to seamlessly integrate and manage diverse tools, enabling features like Twitter automation, cryptocurrency updates, and ElizaOS interaction.

Enables connecting distributed MCP servers into an encrypted, self-healing peer-to-peer swarm mesh with dynamic discovery, unified capability aggregation, delegated task routing, and consensus-based multi-agent orchestration, along with a Streamlit control center for monitoring and management.

A task orchestration system for AI agent teams that provides a Kanban dashboard and 12 MCP tools to manage multi-step workflows with DAG dependencies. It enables agents to coordinate through task threads, automated retries, and real-time webhook notifications.

A bridging framework that integrates Knowledge Organization Infrastructure (KOI) with Model Context Protocol (MCP), enabling autonomous agents to exchange personality traits and expose capabilities as standardized tools.

Enables AI agents and IDEs to discover, install, and execute skills over Model Context Protocol via stdio or SSE, with semantic search and framework bridges.