"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.

Enables a local LLM to ask the user for guidance via a native desktop pop-up dialog, with configurable options and multiple-choice or free-text input.

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.

he industry standard reference for safe, observable, and steerable AI agent UX. Browse and search 10 Blueprint principles, clusters, curated implementation examples, and application guides. 13 public tools require no credentials.

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.

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

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.

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.

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.

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.