# Tool Integration

A remote MCP server project based on Cloudflare Workers, supporting OAuth login and integrating with MCP Inspector and Claude desktop applications.

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.

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.

This project provides two types of MCP servers for accessing functional tools managed by ACI.dev: the apps-server provides access to tools for specified applications, and the unified-server provides functions for discovering and executing all available tools.

MCP is an open-source AI-driven penetration testing framework that integrates multiple security tools, analyzes their outputs in real-time, strictly follows the standard penetration testing process, and provides intelligent assistance to security testers.

A remote MCP server project based on Cloudflare Workers, supporting OAuth login and integrable with MCP Checker and Claude desktop applications.

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 to invoke mathematical tools.

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

This project implements the integration of the TypeScript MCP proxy with Ollama. Through a unified interface, AI models can call multiple tools, supporting functions such as file operations and web searches.

The GoldRush MCP Server is a service based on the Model Context Protocol (MCP) that exposes Covalent's GoldRush API as MCP resources and tools, enabling LLM clients to call blockchain data query and analysis functions.

This project provides a localized implementation of MCP (Modular Computing Protocol), including a server and a client. The server offers 28 computing tools (mathematical operations, string/image processing, Pinta automation, etc.), and the client interacts with the server through the protocol to call these tools. The project uses uv to manage dependencies and supports rapid deployment and local testing.

An MCP server that provides a Python code execution environment, supporting code running, package installation, and file operations, suitable for integration with LLM applications.

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.

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

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

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.

Demonstration project for Claude desktop client configuration and tool integration

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

The MCP server is used to store and call programming rules, prompts, etc. on demand, helping developers share specifications across different projects and IDEs

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.

The Perplexity MCP Server is a Node.js - based server that implements Anthropic's Model Context Protocol (MCP) to connect Claude with Perplexity's language models and provides enhanced AI interaction tools. It supports two main tools: advanced chat completion and a simplified single - query interface.

A production-grade starter template for an MCP server based on TypeScript, providing rapid development tools and a standardized workflow.

Letta MCP Server is a model context protocol service implementation for interacting with the Letta API, providing agent management, memory block operations, and tool management functions.

The Letta MCP Server is a server toolset that provides agent management, memory operations, and Letta system integration.

The MCP Toolkit is a modular server implementation for building high-precision vertical AI agents, providing support for 123 tools, significantly reducing the amount of code, and simplifying complex workflows.

The Model Context Protocol (MCP) is a standardized protocol introduced by Anthropic for the interaction between large language models (LLMs) and external tools and functions, as well as for injecting context into LLMs. It enables models to request real-time information, perform operations in external systems, access professional knowledge bases, and interact with APIs and services. The MCP is similar to a USB hub, serving as a standard interface that reduces the risk of API changes because each MCP server is maintained by its own company, and users only need to integrate it. The MCP server provides three functions: tools, resources, and prompts.

Ultra-MCP-Servers is an open-source project that enables users to create and manage their own Model Context Protocol (MCP) servers. It offers a variety of tool and service integrations, such as YouTube transcription, cloud storage, web crawlers, etc., and encourages community contributions.

This is a Clojure SDK for creating a Model Context Protocol server, providing core components, communication processes, and example implementations, supporting tool calls, resource reading, and prompt retrieval.

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.