Groundx RAG
G

Groundx RAG

This is an MCP document Q&A server based on the GroundX API that supports uploading documents and conducting intelligent Q&A on the document content.
2.5 points
9.4K

What is the MCP Document QA Server?

This is an intelligent document Q&A platform that allows users to upload documents and get precise answers by asking questions in natural language. The system will automatically parse the document content and build a knowledge base.

How to use the MCP Document QA Server?

Just three steps: 1) Upload a document. 2) Ask a question. 3) Get an answer. The system will automatically process the document content and build a queryable knowledge base.

Use cases

It is suitable for scenarios that require quickly obtaining precise information from documents, such as enterprise knowledge base management, academic research assistance, legal document query, and technical support document retrieval.

Main features

Document upload
Supports uploading documents in multiple formats. The system will automatically parse the content and build a searchable knowledge base.
Intelligent Q&A
Ask questions in natural language and get precise answers based on the document content.
Quick integration
Quickly integrate into the development environment through the Cursor IDE to simplify the deployment process.
Advantages
Automatically build a knowledge base without manually annotating documents.
Support natural language queries without learning complex query syntax.
Easy to integrate and quickly deploy through the Cursor IDE.
Limitations
Depends on the parsing ability of the GroundX API.
Processing large-scale documents may take a long time.
Requires an API key to use all functions.

How to use

Get an API key
Get an API key from the GroundX platform.
Upload a document
Use the ingest_documents tool to upload the document to be queried.
Ask a question
Use the answer_query tool to get the answer from the document.

Usage examples

Product manual query
After uploading the product manual, query the usage method of a specific function.
Research report analysis
After uploading the research report, query the key data and conclusions.

Frequently Asked Questions

What document formats are supported?
How to get a GroundX API key?
How long does it take to process a document?

Related resources

GroundX API documentation
Official documentation for the GroundX API
Cursor IDE
Download the integrated development environment
MCP server sample code
Sample code library on GitHub

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

A
Airweave
Airweave is an open - source context retrieval layer for AI agents and RAG systems. It connects and synchronizes data from various applications, tools, and databases, and provides relevant, real - time, multi - source contextual information to AI agents through a unified search interface.
Python
15.1K
5 points
V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
9.4K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
8.9K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
15.7K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
6.7K
4 points
P
Paperbanana
Python
8.9K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
10.7K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
8.8K
5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
39.0K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
23.7K
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
27.2K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
81.2K
4.3 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
69.4K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
38.3K
5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
24.9K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
55.1K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase