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Showing 457–480 of 547 for LLM RAG

Sequa.ai

Stop stitching context for Copilot and Cursor. With Sequa MCP, your AI tools know your entire codebase and docs out of the box.

Vidlizer

Extract structured JSON from video, images, and PDFs using local LLMs (Ollama, LM Studio, oMLX) or via OpenRouter. Runs fully offline.

Context Autopilot

# Context Autopilot **Automated context collection for coding agents.** Mines your real agent sessions — every instruction you repeated, every correction you…

Mcp Feedback Enhanced

# MCP Feedback Enhanced **🌐 Language / 語言切換:** **English** | [繁體中文](README.zh-TW.md) | [简体中文](README.zh-CN.md) **Original Author:** [Fábio…

llm-mcp

A Ruby gem for integrating Large Language Models (LLMs) via the Model Context Protocol (MCP) into development workflows.

Windsor.ai

Windsor MCP (Model Context Protocol) enables your LLM to query, explore, and analyze your full-stack business data integrated into Windsor.ai with zero SQL…

BSC Blockchain

Integrates with the Binance Smart Chain blockchain to enable real-time data retrieval, transaction analysis, wallet monitoring, and custom token creation…

Scrapeless

Integrate real-time [Scrapeless](https://www.scrapeless.com/en) Google SERP(Google Search, Google Flight, Google Map, Google Jobs....) results into your LLM…

usensedata-mcp-server-query-china-company

羽山数据API服务现已全面兼容MCP协议,打造数据服务MCP Server。usensedata-mcp-server-query-china-company项目为企业类数据查询服务server,用户可通过简单配置快速通过LLM使用羽山数据企业类数据服务。依赖MCP Typescript…

Cotforce Mcp

Give brains to your small models. MCP server that enforces step-by-step Chain-of-Thought — turns 4B models into methodical reasoners

Bugcrowd Mcp

This project provides a Model Context Protocol (MCP) server that exposes the entire Bugcrowd REST API as callable tools for LLMs and automation. It is…

MeetSync MCP Server

Calendar negotiation API for AI agents. Exposes all 19 MeetSync endpoints as named MCP tools — find mutual availability across participants, manage scheduling…

Deadends Dev

Structured failure knowledge infrastructure for AI agents — dead ends, workarounds, and error transition graphs.