# LLM Integration

An MCP server that supports standard dice notation, providing dice - rolling functionality for large language models and returning the results and sum of each roll.

The MCP Rust CLI server template is a Rust-based implementation that demonstrates how to build a CLI service compliant with the Model Context Protocol standard, facilitating the integration of LLM applications with external data sources and tools.

A Model Context Protocol server implemented for NebulaGraph, providing graph database access and query functions, and supporting LLM tool system integration.

The @cmmv/mcp module of CMMV implements the Model Context Protocol (MCP), providing a standardized interface for CMMV applications, supporting the interaction between LLMs and applications, and including functions such as tool registration, validation, and connection management.

The Fish Audio MCP Server is a middleware that provides text-to-speech services. It achieves seamless integration with LLMs such as Claude through the Model Context Protocol, supporting multilingual, multi-tone, and real-time streaming audio generation.

An MCP service that searches for pub.dev packages through natural language queries and performs basic arithmetic calculations

The ActivityWatch MCP Server is a middleware that connects to the time - tracking tool ActivityWatch, allowing LLM models like Claude to access users' time - tracking data through a standard protocol.

The E2B Cookbook is a project containing various example codes and guides for development using the E2B SDK. It covers a variety of scenarios from basic introduction to advanced applications, including integration with different LLM providers, integration of AI frameworks, and practical application cases.

This project implements a Model Context Protocol (MCP) server, which provides a standardized data source access method for LLMs and supports three core capabilities: resources, tools, and prompts.

A Python client for interacting with Model Context Protocol (MCP) endpoints via Server-Sent Events (SSE), supporting tool discovery, invocation, and integration with multiple LLMs.

A Model Context Protocol (MCP) server implemented for NebulaGraph, providing seamless access to NebulaGraph, supporting graph exploration, querying, and shortcut algorithms, and being easily integrated with LLM tool systems.

The Peaka MCP Server is a service that implements the Model Context Protocol (MCP), providing text-to-SQL capabilities and allowing LLMs to inspect database schemas and execute SQL queries.

A model context protocol SDK implemented in TypeScript, supporting client and server functions for integration with LLMs.

A command - line code summarization tool based on Gemini Flash 2.0, supporting MCP server integration

A CLI tool built on Rust to assist with code-related tasks, supporting autonomous exploration of the codebase, file reading and writing, working memory management, file summarization, and interactive communication, and can run as an MCP server.

A GitHub MCP Server project based on TypeScript that allows MCP-compatible LLMs (such as Claude) to interact with the GitHub API through this server.

A secure MCP command server for executing system commands through LLM applications

A Rust-based MCP CLI server template for implementing standardized connections between LLM applications and external data sources and tools.

A server implementing the Schwab API Model Context Protocol (MCP), providing financial data interfaces for LLMs

The MongoDB MCP Server is a service that allows LLMs to directly interact with MongoDB databases, supporting querying collections, checking schemas, and managing data.

The Ollama-MCP-server is a protocol server that connects local Ollama LLM instances with MCP-compatible applications, providing functions such as task decomposition, result evaluation, and model management, and supporting standardized communication and performance optimization.

A secure Shell command execution MCP server that provides controlled Shell command execution capabilities for LLMs

Anchor MCP is an MCP CLI server template designed for Anchor programs, supporting the integration of LLM applications with external data sources.

Introduce how to use AutoNavi Maps MCP Server to implement the interaction between LLM and map services

Proof - of - concept project for the MCP server based on Uber Eats

The Quarkus Model Context Protocol (MCP) Server is an open-source protocol server that supports easy integration of LLM applications with external data sources and tools through declarative and programmatic APIs.

Implementation of the MindManager MCP Server, providing a standardized interface for LLMs

This project is a server - side based on the Model Context Protocol (MCP), providing a bridge for the Brandfetch API, enabling large language model (LLM) applications to search for brands and obtain detailed information.

The MCP service that connects LLM to Compiler Explorer, supporting code compilation, exploration of compiler functions, and optimization analysis

A Vite plugin that provides MCP server functionality to help LLMs understand the React application context, supporting component highlighting, state retrieval, component tree display, and unnecessary re-render detection.