关键词 "servers" 的搜索结果, 共 24 条, 只显示前 480 条
A repository for testing MCP servers
A simple showcase for MCP Servers with Spotify
MCP Sniffer captures network traffic between MCP clients and servers and displays it in a web UI.
This Streamlit application provides a user interface for connecting to MCP (Model Context Protocol) servers and interacting with them using different LLM providers (OpenAI, Anthropic, Google...).
A quick and easy way to deploy MCP servers using Scala
An LLVM-based obfuscation tool designed to confuse LLM clients interacting with custom MCP disassembler servers.
A demo using MCP servers.
an mcp client for http servers
AI Software Engineer made with mcp servers
Repository for Cursor IDE and MCP servers testing
This is a collection of cli tools to expose MCP tools via NATS microservices. It can be used either standalone (exposing existing MCP Servers via NATS) or as library in Go to expose functions as tools.
A Registry for a MCP Servers
Spring Cloud OSB Implementation of an Open Service Broker for MCP Servers
hello mcp servers
Awesome MCP Servers and Packages Registry with Structured JSON configurations
A high-performance, asynchronous toolkit for building MCP servers and clients in Rust.
This is a minimal demonstration project for the Model Context Protocol (MCP) — a simple standard for exchanging model context between clients and servers. It is designed to be easy to understand, lightweight, and practical for integration with OpenAI-compatible clients.
A Slack bot and MCP client acts as a bridge between Slack and Model Context Protocol (MCP) servers. Using Slack as the interface, it enables large language models (LLMs) to connect and interact with various MCP servers through standardized MCP tools.
🚀 The Model Context Protocol servers on my machine
latest mcp servers available.
MCP Servers Manager
MyMCP Prompt is a tool for generating Model Context Protocol (MCP) servers from natural language descriptions. This MVP uses the Google Gemini API to convert user descriptions into functional Python MCP servers with corresponding JSON configurations.
A proxy tool for composing multiple MCP servers into one unified endpoint. Scale your AI tools by load balancing requests across multiple MCP servers, similar to how Nginx works for web servers.
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