Developer Tools MCPサーバー

Demo

Showcases how to build custom toolsets for AI assistant integration using the Model Context Protocol.

AI Development Pipeline

Integrates Claude AI with VSCode, Augment, Vercel, Airtable, and Square through a unified Model Context Protocol (MCP) server.

Ugs-Cli

Installs the UGS command-line interface globally via npm.

Browser Use

Automates browser tasks using natural language commands.

Vic563 Memgpt

Implements a memory system for large language models, enabling conversational context persistence across multiple LLM providers.

IndexNow

Submits URLs to search engines using the IndexNow protocol via a Model Context Protocol (MCP) server.

Untappd

Queries the Untappd API for beer information using the Model Context Protocol.

Paloma DEX

Enables AI agents to autonomously execute decentralized trading operations on Paloma DEX across multiple EVM chains.

Express SSE

Provides an HTTP server with Server-Sent Events and message receiving capabilities for remote servers.

Testomat.io

Facilitates Testomat.io API integration with AI assistants, such as Cursor, through a Model Context Protocol server.

Github Agentic Chat

Enables interaction with GitHub through natural language using an MCP server implementation.

Kaito

Provides an implementation of the MCP (Minecraft Communication Protocol) server.

BrowserTools

Enables AI-powered applications to interact with and analyze browser data through a Chrome extension.

Tiny

Implements a Model Context Protocol (MCP) client using the OpenAI API.

XcodeBuild

Provides Xcode-related tools for integration with AI assistants and other Model Context Protocol (MCP) clients, enabling programmatic interaction with Xcode projects.

Web3 Jobs

Provides AI agents with real-time access to curated Web3 job listings from web3.career.

Calculator

Evaluates mathematical expressions securely through a Model Context Protocol (MCP) server.

Random Number Generator

Generates random numbers using the Model Context Protocol (MCP).

Model Context Server

Implements the Model Context Protocol (MCP) as a comprehensive Python backend, integrating JSON-RPC 2.0, Azure OpenAI, and Server-Sent Events for streaming responses.

Calc-mcp72

Provides basic arithmetic operations as tools callable by Large Language Models (LLMs) through the Model Context Protocol.