Found a total of 26 results related to

The MCP server of the ThemeParks.wiki API, providing theme park data query functions

The Burp Suite MCP Server extension enables the integration of Burp Suite with AI clients, supports interaction through the Model Context Protocol (MCP), and provides automatic configuration and proxy service functions.

Deep-Co is a cross-platform chat client developed based on Compose Multiplatform. It supports multiple LLM API providers, including OpenRouter, Anthropic, Grok, OpenAI, etc., and is compatible with OpenAI API and local models. It has functions such as chat record management, prompt management, role adaptation, TTS, etc., and supports multiple languages and theme customization.

An MCP service based on the Gradle Tooling API that supports querying Gradle project information, executing tasks, and running tests in a structured way.

MCP Strava Server is a service for integrating the Claude desktop application with the Strava API, facilitating users to process and analyze Strava activity data.

An intelligent system that combines AI with Kubernetes management, enabling cluster diagnosis, resource monitoring, and log analysis through natural language interaction to simplify K8s operations and maintenance work.

MCP protocol integration extension for Burp Suite and AI clients

A simple Kotlin weather query client-server example based on the MCP protocol, demonstrating the tool invocation process.

An AI agent application based on Spring Boot and Spring AI, helping users book accommodation in tourist cities, supporting multiple AI models and tool integration.

The JetBrains MCP Server plugin enables seamless integration of large language models with JetBrains IDEs, providing server-side processing and custom tool extension points.

Lenz shares learning and development experiences about MCP, mainly using Kotlin for backend development.

A demonstration project of a cryptocurrency price query MCP service based on Spring Boot and Kotlin, integrating the CoinGecko API to provide real-time cryptocurrency data retrieval functionality.

This project is the documentation repository for the Multi-agent Control Platform (MCP). It uses GitHub Actions to achieve automated deployment and includes documentation structure, local testing methods, and deployment architecture descriptions.

An Obsidian MCP server project implemented in Kotlin, enabling AI agents to interact with notes through the Obsidian Local REST API plugin.

A quick-start example project for an MCP weather service, providing a weather service implementation based on the Kotlin SDK

An MCP server implementation based on Kotlin that integrates the Spotify Web API and provides functions such as playback control, playlist management, and user information retrieval.

Kotlin server-side implementation of the MCP protocol

A server project based on Kotlin SDK that provides the functions of obtaining city weather information and sending emails through the RESEND SDK.

A weather query MCP server developed based on Kotlin, which can query the weather conditions of various places in the United States through the Claude desktop application

This is a JetBrains plugin project based on the IntelliJ platform plugin template, mainly used to implement code refactoring functions.

Explore the principle of the MCP architecture and practice building it, including the development of Client and Server components and the experimental process of connecting to LLM services

Miro MCP Server is a service that implements the Model Context Protocol (MCP). By integrating with the Miro REST API, it enables AI systems to directly collaborate with users on the Miro whiteboard and operate whiteboard components.

An intelligent system that combines AI and Kubernetes management, providing real-time diagnosis, resource monitoring, and log analysis, and simplifying cluster management through natural language interaction.

This project contains multiple modular services based on the MCP protocol, providing functions such as date processing, Excel operations, Google Drive integration, file system management, and access to Taiwan meteorological data

An example project attempting to implement an MCP server using Kotlin