About
GXtract is a Python‑based Model Context Protocol server that plugs into VS Code and other editors, providing tools for searching, querying, and explaining documents using the GroundX platform. It includes an in‑memory cache to reduce API calls and supports both stdio and HTTP transports.
Capabilities
Overview
GXtract is a Model Context Protocol (MCP) server that bridges the gap between local development environments and the GroundX document‑understanding platform. By exposing a set of GroundX‑centric tools over MCP, it lets developers invoke powerful search, semantic querying, and object explanation capabilities directly from editors such as VS Code. This tight integration removes the need for manual API calls or separate command‑line utilities, streamlining workflows that involve large knowledge bases or complex document structures.
At its core, GXtract follows the standard MCP architecture: a lightweight server that registers tools and handles requests via either stdio (for VS Code extensions) or HTTP. The server delegates work to specialized tool implementations that communicate with the GroundX API, caching metadata in memory to reduce round‑trips. The cache is automatically refreshed on demand, ensuring that developers always work with up‑to‑date document indices while keeping latency low. The design also supports secure handling of API keys, with configuration options that keep credentials out of source control and expose only the minimal surface needed for GroundX operations.
Key capabilities include:
- Document Search – Query large collections of documents with relevance ranking, leveraging GroundX’s semantic engine.
- Semantic Object Explanation – Retrieve detailed explanations of entities or concepts identified within documents, aiding comprehension and documentation.
- Metadata Caching – In‑memory storage of GroundX metadata to accelerate repeated queries and reduce API usage.
- MCP Compliance – Seamless integration with VS Code’s MCP client and any other MCP‑compatible tooling, enabling a plug‑and‑play experience.
Real‑world scenarios that benefit from GXtract are plentiful. A data scientist can annotate code comments with insights pulled directly from a corporate knowledge base, while a software engineer can search legal or regulatory documents for compliance checks without leaving the editor. Technical writers can generate context‑aware glossaries by invoking GroundX explanations on the fly, and DevOps teams can embed policy documents into CI pipelines through automated queries.
By encapsulating GroundX interactions behind a simple, MCP‑driven interface, GXtract frees developers from boilerplate code and credential management. It provides a declarative way to enrich development workflows with AI‑powered document intelligence, making advanced search and semantic understanding an integral part of the coding environment rather than an external dependency.
Related Servers
MindsDB MCP Server
Unified AI-driven data query across all sources
Homebrew Legacy Server
Legacy Homebrew repository split into core formulae and package manager
Daytona
Secure, elastic sandbox infrastructure for AI code execution
SafeLine WAF Server
Secure your web apps with a self‑hosted reverse‑proxy firewall
mediar-ai/screenpipe
MCP Server: mediar-ai/screenpipe
Skyvern
MCP Server: Skyvern
Weekly Views
Server Health
Information
Explore More Servers
BI Chart MCP Server
Python-powered visualizer for BI charts via Model Context Protocol
Safe MCP Manager
Secure, Fast MCP Setup in Minutes
Game Asset MCP
AI‑powered 2D/3D game asset generator via MCP
RedNote MCP
Access Xiaohongshu notes via command line
MCP Server ODBC via SQLAlchemy
FastAPI-powered ODBC MCP server for versatile database access
Opik MCP Server
Unified Model Context Protocol for Opik IDE integration