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LLM integration

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37 Interactive Technology Team
37 Interactive Technology Team
May 9, 2025 · Backend Development

Engineering an MCP (Model Context Protocol) Tool for Cursor AI: Step-by-Step Guide

This guide walks developers through creating a reusable MCP (Model Context Protocol) tool for Cursor AI—encapsulating the SDK, configuring files, implementing PSD‑slicing logic, defining JSON schemas, adding utilities and build scripts, and deploying it as a command‑type server while avoiding common integration pitfalls.

Cursor AILLM integrationMCP
0 likes · 7 min read
Engineering an MCP (Model Context Protocol) Tool for Cursor AI: Step-by-Step Guide
DaTaobao Tech
DaTaobao Tech
Apr 30, 2025 · Artificial Intelligence

Model Context Protocol (MCP): A USB‑like Standard for Connecting Large Language Models to External Resources

The Model Context Protocol (MCP) is an open, USB‑like standard that lets large language models securely connect to external data sources, tools, and services through a client‑server architecture, enabling developers to integrate diverse resources with standardized SDKs, fostering rapid, scalable AI‑enhanced applications across many domains.

AI standardsLLM integrationMCP
0 likes · 18 min read
Model Context Protocol (MCP): A USB‑like Standard for Connecting Large Language Models to External Resources
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Apr 4, 2025 · Backend Development

Implementing a Model Context Protocol (MCP) Service with APISIX and Node.js

This article explains what Model Context Protocol (MCP) is, demonstrates a simple e‑commerce example, and provides a step‑by‑step guide to create, configure, build, and debug an MCP service using APISIX Admin API, Node.js, TypeScript, and Zod, enabling natural‑language interaction with backend APIs.

API automationAPISIXLLM integration
0 likes · 15 min read
Implementing a Model Context Protocol (MCP) Service with APISIX and Node.js
Tencent Cloud Developer
Tencent Cloud Developer
Mar 26, 2025 · Artificial Intelligence

Introduction to Anthropic's Model Context Protocol (MCP) with Example Implementations

The article presents Anthropic’s open‑source Model Context Protocol (MCP) – a client‑server framework that standardizes how large language models securely access resources, prompts, and tools (the “HTTP of AI”) – and demonstrates its use through a hot‑fix scraper and a dynamic chatbot that discovers and invokes tools via JSON‑formatted calls.

AI protocolsLLM integrationMCP
0 likes · 15 min read
Introduction to Anthropic's Model Context Protocol (MCP) with Example Implementations
Sohu Tech Products
Sohu Tech Products
Mar 19, 2025 · Artificial Intelligence

Debugging MCP Service Registration Issues in Cursor IDE

The article details how the author discovered a bug in Cursor’s closed‑source IDE where correctly registered MCP services, such as a weather query tool, are omitted from the LLM’s tool list, preventing calls, and explains the debugging steps that compared Cursor with the open‑source Cline implementation to pinpoint the registration flaw.

AI DebuggingCursorLLM integration
0 likes · 12 min read
Debugging MCP Service Registration Issues in Cursor IDE
Ant R&D Efficiency
Ant R&D Efficiency
Sep 20, 2024 · Artificial Intelligence

Building a Cursor‑like AI Native IDE with OpenSumi and CodeFuse – A Step‑by‑Step Guide

This guide shows how to create a Cursor‑style AI‑native IDE by forking the open‑source CodeFuse project built on the extensible OpenSumi framework, configuring a large‑language model, and packaging an Electron app, while explaining Cursor’s advantages over plugin‑based tools and the strategic benefits of a fully integrated AI development environment.

AI IDECodeFuseCursor
0 likes · 17 min read
Building a Cursor‑like AI Native IDE with OpenSumi and CodeFuse – A Step‑by‑Step Guide
Tencent Cloud Developer
Tencent Cloud Developer
Jun 14, 2024 · Artificial Intelligence

GPT-4o Speech Multimodal Technology: Speech Tokenization, LLM Integration, and Zero-shot TTS

GPT‑4o’s speech multimodal system discretizes audio into semantic and acoustic tokens, integrates these tokens with large language models through multi‑stage instruction tuning, and employs hierarchical zero‑shot text‑to‑speech decoding, enabling low‑latency, streaming, and prompt‑driven voice synthesis for applications like gaming.

AudioLMGPT-4oLLM integration
0 likes · 33 min read
GPT-4o Speech Multimodal Technology: Speech Tokenization, LLM Integration, and Zero-shot TTS
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Jan 12, 2024 · Artificial Intelligence

Understanding Vector Databases, ANN Algorithms, and Their Integration with Large Language Models

This article explains the fundamentals of vector databases, how high‑dimensional vector data is generated and stored, reviews common ANN search algorithms such as Flat, k‑means and LSH, discusses benchmarking and product selection, and demonstrates practical integration of vector stores with LLMs using LangChain and Python code.

ANNEmbeddingsLLM integration
0 likes · 17 min read
Understanding Vector Databases, ANN Algorithms, and Their Integration with Large Language Models
DevOps
DevOps
Jan 4, 2024 · Artificial Intelligence

Understanding Microsoft Semantic Kernel: An AI SDK for Integrating Large Language Models

This article explains Microsoft’s open‑source Semantic Kernel SDK, describing its purpose, core components, workflow (Ask, Planner, Skills, Memory, Connectors, Pipeline), practical examples, and the advantages it brings to developers building Copilot‑style AI applications.

AI SDKAI pluginsDeveloper Tools
0 likes · 13 min read
Understanding Microsoft Semantic Kernel: An AI SDK for Integrating Large Language Models
Sohu Tech Products
Sohu Tech Products
Nov 1, 2023 · Databases

Engineering Practices of Douyin's Vector Database: From Retrieval Challenges to Cloud‑Native Solutions

Douyin tackled vector‑retrieval challenges by optimizing HNSW and creating a high‑performance IVF algorithm, implementing custom scalar quantization, SIMD acceleration, and a DSL‑driven engine that merges filtering with search, then built a cloud‑native, storage‑compute‑separated vector database (VikingDB) delivering sub‑10 ms latency, real‑time updates, multi‑tenant support, and secure, scalable retrieval for LLM‑driven applications.

ANNLLM integrationcloud native
0 likes · 18 min read
Engineering Practices of Douyin's Vector Database: From Retrieval Challenges to Cloud‑Native Solutions
ByteFE
ByteFE
Apr 3, 2023 · Artificial Intelligence

Mastering Prompt Engineering: Building a CLI Command Translator with the ChatGPT API

This comprehensive tutorial demonstrates how to leverage the official ChatGPT API and advanced prompt engineering techniques to develop a command-line tool that translates natural language instructions into precise shell commands, covering iterative prompt design, constraint implementation, and Node.js integration.

AI toolsCLI DevelopmentChatGPT API
0 likes · 15 min read
Mastering Prompt Engineering: Building a CLI Command Translator with the ChatGPT API