# LLM Interaction

AytchMCP is a model context protocol server for Aytch4K applications, supporting interactions with multiple large language models and including functions such as resource management, tool components, and protocol processing.

An MCP server that persistently stores LLM interaction relationships through emoji keys

The Golang MCP Server SDK is a server-side development toolkit for building servers that comply with the Model Context Protocol (MCP) specification, supporting interaction with LLMs through standard transport methods (such as stdio and Server-Sent Events), and providing core functions such as resources, tools, and prompts.

The Xircuits MCP Component Library is a visual programming tool library for implementing Model Context Protocol (MCP) servers. It provides components for creating, configuring, and running MCP servers, and supports interactions with LLM applications through resources, tools, and prompt templates.

Vibe-Eyes is an MCP server project that enables LLMs to 'see' what's happening in browser-based games and applications through vectorized canvas visualization and debugging information.

A simple command-line MCP client tool that supports connecting to multiple MCP servers and interacting with different LLM providers, providing chat mode and tool execution functions.

A model context protocol (MCP) SDK implemented in Python for building standard servers and clients interacting with LLMs

The OpenDigger MCP Server is a simple service that allows LLMs to obtain OpenDigger data through MCP tools, supporting online data interaction and analysis.

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

This tutorial introduces how to use the MCP Python SDK to build a simple MCP server, including defining tools, resources, and prompts, and conducting interactive tests through the MCP Inspector.

This project installs an MCP (Model Context Protocol) server to provide the configured Oracle database tables/columns as context to the LLM (Large Language Model), enabling the LLM to interact with the Oracle database, generate SQL statements, and return results through LLM prompts.

This project demonstrates a server example developed based on the MCP Java SDK. It does not require the Spring framework and supports providing data and services for LLM applications through the MCP protocol. It includes examples of interacting with MySQL and operating on the file system.

PaperPal is an MCP extension tool designed to help users search for and write literature reviews, discuss papers, find new papers, and organize literature ideas through natural conversations with LLMs (such as Claude).

The Notion MCP server is a model context protocol service designed for Notion integration, allowing LLMs such as Claude to interact with users' Notion workspaces, providing functions such as searching, getting pages, creating/updating pages and databases.

A TypeScript-based MCP server that provides a memory system for LLMs, supporting multi-platform chat and history record management.

The MCP Server is a server that implements the Model Context Protocol, supporting standardized interaction between large language models and external tools and services, providing support for multiple tools, RESTful APIs, and automated documentation.

x64dbg plugin project that enables dynamic analysis and LLM interaction through HTTP services

An MCP server implemented in Python for PayPal API integration, supporting LLMs to interact with PayPal APIs through function calls, covering main functions such as invoices, orders, and products.

WebMCP is a project that enables websites to support client-side LLM interactions, achieving secure communication through a local WebSocket server.

Proxy Feishu robots through the MCP server to achieve the integration of business logic between LLM models such as Claude/Cursor and Feishu robots

An MCP server for LLM to interact with Ansible Tower