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GXtract MCP Server

MCP Server

GroundX integration for VS Code via MCP

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Updated May 20, 2025

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

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

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.