# Tool Integration

Flux is an AI-based AO tool call enhancement system that enables AO code execution and custom blueprint creation through natural language, supports integration with existing AI development tools, and provides code testing functions.

This project demonstrates how to build a remote MCP server on Cloudflare Workers and implement the OAuth login function. It supports the full process of local development and debugging, connection testing through the MCP Inspector, integration with the Claude desktop application, and final deployment to the Cloudflare platform.

Portkey's Model Context Protocol (MCP) server implementation for connecting AI tools and services. Supports Docker, binary, and source code installation, provides SSE and stdio transport modes, and can be integrated with Cursor IDE and Claude Desktop.

An MCP server implementation based on Ruby 3.3, providing greeting and calculation tools, supporting Cursor integration and background operation.

Laravel MCP is a package for implementing the Model Context Protocol (MCP) in Laravel applications. It provides a standardized communication interface between AI models and Laravel applications, supporting multiple transmission methods and rich functional features.

A Model Context Protocol (MCP) implementation in Haskell, supporting interaction with clients such as Claude through StdIO and JSON-RPC, and providing resource, tool, and prompt management functions.

An SSE-based MCP server that provides tools for querying OCI registries and container images, supporting functions such as getting image information, listing tags, and obtaining manifests and configurations.

The Ultimate MCP Server is an AI agent operating system based on the Model Context Protocol (MCP), offering dozens of powerful tool capabilities, including cognitive enhancement, tool usage, and intelligent orchestration. The system exposes functions through standardized MCP tools, enabling advanced AI agents to access a rich tool ecosystem and specialized services while optimizing costs, performance, and quality.

MCP is a Python service framework that supports quickly creating local or HTTP services through tool functions and provides multiple running modes and client interaction modes.

ACI.dev is an open-source AI agent tool infrastructure that provides multi-tenant authentication, permission management, and dynamic discovery functions for over 600 pre-integrated tools. It supports calls through a unified MCP Server or a lightweight SDK, simplifying the development of production-level AI agents.

This project is a collection of reference implementations of the Model Context Protocol (MCP), including MCP server implementations for various tools and services, aiming to provide secure and controllable access to tools and data sources for large language models (LLMs).

A TypeScript project integrating Langchain and MCP tools, supporting interaction with language models through a chat interface and execution of various tools.

mcpn.ai is a tool that helps users create, organize, and share AI workflows and prompts. It is similar to a dynamic prompt library that can be shared and version - controlled across MCP tools and servers.

A modular server implementing the Model Context Protocol standard, providing integration services for multiple tools.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement OAuth login functionality. It supports local development and debugging, connection testing through the MCP inspector, and integration into the Claude desktop application to call mathematical tools. Finally, it provides a complete process for deployment to Cloudflare and remote connection.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement OAuth login functionality. It supports local development and debugging, connection testing through the MCP inspector, and integration into the Claude desktop application to call mathematical tools. Finally, it provides a complete process for deploying to Cloudflare.

Documentation for the integration of the Unreal Engine Model Context Protocol (MCP), helping to understand, set up, and use the MCP system.

This project implements a full-stack AI agent system inspired by the model context protocol, including a React front-end and a FastAPI back-end. The back-end serves as an AI coordinator, using Google Gemini to parse natural language instructions, safely call the file system, browser, or GitHub tools to perform tasks, and return the structured results to the front-end. The system focuses on software development scenarios, providing secure sandbox file operations, real-time web browsing, and repository inspection functions, and visualizing the tool call process.

This is an example project that implements the MCP application extension specification, allowing the invocation of interactive HTML/JS user interfaces through MCP tools, including server - side and client - side demonstrations.

A lightweight implementation of the MCP server that exposes custom tools via SSE for AI client integration.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and achieve secure access through OAuth login. It supports local development and debugging, connection with the MCP checker and the Claude desktop client, and can finally be deployed to the Cloudflare cloud.

The MCP Protocol SDK implemented in TypeScript for building standardized services interacting with LLMs

This project is a command - line interface (CLI) tool that integrates Arcee AI, TESS, and MCP services. It adopts the Clean Architecture and DDD design principles to provide an abstract layer for unified access to multiple artificial intelligence services.

This project is a collection of various Model Context Protocol (MCP) servers used to extend the capabilities of AI assistants, supporting the direct use of external tools and services in Claude conversations.

An API server based on the Model Context Protocol that provides authentication management and external API call functions, supporting secure token management and multiple response formats.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement the OAuth login function. It supports local development and debugging, connection testing through the MCP inspector, and integration into the Claude desktop application for using mathematical tools and other functions.

This project guides you on how to build a client-host-server system based on the MCP protocol, including a FastAPI server, an MCP client, and an SSE streaming server. It enables the interaction of resources, tools, and prompts and supports integration with the Claude desktop application.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement OAuth login functionality. It supports local development and debugging, connection testing through the MCP inspector, and integration into the Claude desktop application to call mathematical tools.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement OAuth login functionality. It supports local development and debugging, connection testing through the MCP Inspector, and integration into the Claude desktop application to call math tools. Finally, it guides you on how to deploy to Cloudflare and access it remotely.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement the OAuth login function. It supports local development and debugging, connection testing through the MCP Inspector, and integration with the Claude desktop application to use mathematical tools.