关键词 "Structured Extraction" 的搜索结果， 共 24 条, 只显示前 480 条
SciSpace is an AI tool aiding users in comprehending and assessing scientific research papers.
Humata is an AI tool that quickly answers questions about data.
AI chat app AskYourPDF extracts insights from uploaded PDF documents.
Watch less, learn more and fast from long videos.
AI-powered image translator for text extraction and translation.
Best crypto trading bot. Safe, powerful, and automated.
Implementation of an MCP (Model Context Protocol) architecture featuring an MCP client and an MCP server. The project enables structured communication between distributed systems, supporting asynchron
Local MCP Client is a cross-platform web and API interface for interacting with configurable MCP servers using natural language, powered by Ollama and any local LLM of choice, enabling structured tool
An MCP server that organizes files into properly structured projects using Script_starter.py
A GitHub Actions integration powered by the MCP. This server exposes structured tools to manage GitHub issues, pull requests, and repositories through natural language interfaces and autonomous agents
Awesome MCP Servers and Packages Registry with Structured JSON configurations
Simple MCP server for fetching the remote git repository content as a structured text file
A Model Context Protocol (MCP) server implementation that integrates with WebScraping.AI for web data extraction capabilities.
It gives you the markdown format of any kind of pdf file. It outputs in structured markdown format.
A Model Context Protocol (MCP) server for interacting with the Hetzner Cloud API. This server allows language models to manage Hetzner Cloud resources through structured functions.
A declarative platform for building Model Context Protocol (MCP) servers in Golang—exposing tools, resources & prompts in a clean, structured way
A Micromanagement Tool for Development Workflows: Helps coding agent plan, track, and visualize sequential development tasks with detailed commit-level granularity. Features interactive visualization,
AWX Model Context Protocol (MCP) integration for enhanced automation workflows. This repository provides a structured approach to managing AWX models efficiently.
A Model Context Protocol (MCP) server that enables secure interaction with OceanBase databases. This server allows AI assistants to list tables, read data, and execute SQL queries through a controlled
MCP server for "taming the Claude" with structured task queues
A starter template for building robust Model Context Protocol (MCP) servers using TypeScript. This template provides a structured foundation for creating servers that can effectively communicate with
AI-powered code quality analysis using MCP to help AI assistants review code more effectively. Analyze git changes for complexity, security issues, and more through structured prompts.
MCP server that transcribes webpages for LLMs to use by providing the url to the LLM.
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