ghidraMCP alternatives

1

IDA Pro MCP

Enabling Model Context Protocol server integration with IDA Pro for collaborative reverse engineering.

IDA Pro MCP provides a Model Context Protocol (MCP) server that connects the IDA Pro reverse engineering platform to clients supporting the MCP standard. It exposes a wide array of program analysis and manipulation functionalities such as querying metadata, accessing functions, globals, imports, and strings, decompiling code, disassembling, renaming variables, and more, in a standardized way. This enables seamless integration of AI-powered or remote tools with IDA Pro to enhance the reverse engineering workflow.

4,214 432 MCP

2

JADX-AI-MCP

Automated AI-powered APK analysis via Model Context Protocol.

JADX-AI-MCP is a fully automated server and plugin for integrating Model Context Protocol (MCP) with JADX for the purpose of analyzing Android APKs using large language models such as Claude. It streamlines vulnerability discovery, reverse engineering, and static analysis by leveraging LLMs in conjunction with established tools. The project facilitates real-time code review and efficient collaboration between AI and human analysts.

637 72 MCP

3

FastMCP

The fast, Pythonic way to build MCP servers and clients.

FastMCP is a production-ready framework for building Model Context Protocol (MCP) applications in Python. It streamlines the creation of MCP servers and clients, providing advanced features such as enterprise authentication, composable tools, OpenAPI/FastAPI generation, server proxying, deployment tools, and comprehensive client libraries. Designed for ease of use, it offers both standard protocol support and robust utilities for production deployments.

20,201 1,488 MCP

4

CipherTrust Manager MCP Server

Enables AI assistants to access CipherTrust Manager securely via the Model Context Protocol.

CipherTrust Manager MCP Server provides an implementation of the Model Context Protocol (MCP), offering AI assistants such as Claude and Cursor a unified interface to interact with CipherTrust Manager resources. Communication is facilitated through JSON-RPC over stdin/stdout, enabling key management, CTE client management, user management, and connection management functionalities. The tool is configurable via environment variables and integrates with existing CipherTrust Manager instances using the ksctl CLI for secure resource access.

7 4 MCP

5

solvitor-mcp

A Rust-based MCP server for extracting Solana smart contract IDL via the Solvitor API.

solvitor-mcp is a Model Context Protocol (MCP) server built in Rust for seamless interaction with the Solvitor API. It allows users to extract Interface Definition Language (IDL) files from closed-source Solana smart contracts using reverse engineering techniques. By exposing a 'decode' tool, it simplifies access to program metadata and supports both 'anchor' and 'native' Solana programs. Integration is straightforward and can be customized with user API keys for secure access.

2 2 MCP

6

CyberChef API MCP Server

MCP server enabling LLMs to access CyberChef's powerful data analysis and processing tools.

CyberChef API MCP Server implements the Model Context Protocol (MCP), interfacing with the CyberChef Server API to provide structured tools and resources for LLM/MCP clients. It exposes key CyberChef operations such as executing recipes, batch processing, retrieving operation categories, and utilizing the magic operation for automated data decoding. The server can be configured and managed via standard MCP client workflows and supports context-driven tool invocation for large language models.

29 5 MCP

7

Kanboard MCP Server

MCP server for seamless AI integration with Kanboard project management.

Kanboard MCP Server is a Go-based server implementing the Model Context Protocol (MCP) for integrating AI assistants with the Kanboard project management system. It enables users to manage projects, tasks, users, and workflows in Kanboard directly via natural language commands through compatible AI tools. With built-in support for secure authentication and high performance, it facilitates streamlined project operations between Kanboard and AI-powered clients like Cursor or Claude Desktop. The server is configurable and designed for compatibility with MCP standards.

15 4 MCP

8

Semgrep MCP Server

A Model Context Protocol server powered by Semgrep for seamless code analysis integration.

Semgrep MCP Server implements the Model Context Protocol (MCP) to enable efficient and standardized communication for code analysis tasks. It facilitates integration with platforms like LM Studio, Cursor, and Visual Studio Code, providing both Docker and Python (PyPI) deployment options. The tool is now maintained in the main Semgrep repository with continued updates, enhancing compatibility and support across developer tools.

611 54 MCP

9

RAE Model Context Protocol (MCP) Server

An MCP server enabling LLMs to access RAE’s dictionary and linguistic resources.

Provides a Model Context Protocol (MCP) server implementation for the Royal Spanish Academy API, facilitating integration with language models. Offers tools such as search and word information retrieval, exposing RAE’s dictionary and linguistic data to LLMs. Supports multiple transports including stdio and SSE, making it suitable for both direct and server-based LLM interactions.

3 3 MCP

10

omniparser-autogui-mcp

Automated GUI analysis and interaction via the Model Context Protocol.

omniparser-autogui-mcp is an MCP server that leverages OmniParser to analyze on-screen content and perform automated GUI operations. It integrates with clients such as Claude Desktop and can be configured via a detailed environment setup. The tool supports Windows and can delegate OmniParser processing to external devices, offering flexibility for complex contexts. Multiple environment variables allow customization of backend processing, target window selection, and communication methods, including SSE.

58 11 MCP

11

Lara Translate MCP Server

Context-aware translation server implementing the Model Context Protocol.

Lara Translate MCP Server enables AI applications to seamlessly access professional translation services via the standardized Model Context Protocol. It supports features such as language detection, context-aware translations, and translation memory integration. The server acts as a secure bridge between AI models and Lara Translate, managing credentials and facilitating structured translation requests and responses.

76 13 MCP

12

Thales CDSP CRDP MCP Server

MCP server enabling secure data protection and revelation with Thales CipherTrust CRDP

Thales CDSP CRDP MCP Server implements the Model Context Protocol (MCP) to allow AI applications and LLMs to securely protect and reveal sensitive data via Thales CipherTrust RestFul Data Protection (CRDP) service. The server supports both stdio and HTTP transports, individual and bulk data operations, and robust versioning support. Features include health checks, metrics collection, and integration with protection policies and JWT-based authorization.

2 3 MCP

13

mcp-recon

Conversational reconnaissance interface and MCP server for HTTP and ASN analysis.

mcp-recon acts as a conversational interface and Model Context Protocol (MCP) server, enabling seamless web domain and ASN reconnaissance through natural language prompts. It integrates powerful tooling like httpx and asnmap to conduct lightweight or full HTTP analysis and ASN lookups, exposing these capabilities to any MCP-compatible AI assistant. With predefined prompts and Docker-based deployment, it streamlines infrastructure analysis via AI interfaces such as Claude Desktop.

22 5 MCP

14

GitHub MCP Server

Connect AI tools directly to GitHub for repository, issue, and workflow management via natural language.

GitHub MCP Server enables AI tools such as agents, assistants, and chatbots to interact natively with the GitHub platform. It allows these tools to access repositories, analyze code, manage issues and pull requests, and automate workflows using the Model Context Protocol (MCP). The server supports integration with multiple hosts, including VS Code and other popular IDEs, and can operate both remotely and locally. Built for developers seeking to enhance AI-powered development workflows through seamless GitHub context access.

24,418 2,997 MCP

15

GitLab MR MCP

An MCP server for AI-powered interaction with GitLab merge requests and issues.

GitLab MR MCP implements a server for the Model Context Protocol (MCP) enabling AI agents to perform structured interactions with GitLab repositories. It provides capabilities for reading merge request and issue details, listing projects, fetching diffs and comments, and making changes such as commenting or updating titles and descriptions. Installation is supported via Smithery or manually, and integration with MCP clients and Inspector tools is documented for development and troubleshooting.

65 19 MCP

16

Ancestry MCP Server

MCP server for managing and interacting with GEDCOM genealogy files

Ancestry MCP Server is a Python-based server that implements the Model Context Protocol (MCP) to enable operations on GEDCOM (.ged) genealogy files. It allows for reading, parsing, listing, renaming, and searching within GEDCOM files, primarily used for family history research. The server supports integration with tools like Claude Desktop and provides a standardized interface for programmatic access to ancestry data. Operations are restricted to user-specified directories for data safety.

27 5 MCP

17

GhidraMCP

AI-powered binary analysis through Model Context Protocol integration with Ghidra

GhidraMCP is a Ghidra plugin that implements the Model Context Protocol (MCP), enabling seamless connectivity between Ghidra and AI-powered assistants for advanced binary analysis. It allows users to interact with binaries using natural language, automate security and code analysis, and retrieve detailed program insights through a socket-based architecture. The plugin offers functions for exploring binary structures, analyzing memory layouts, and identifying vulnerabilities, providing a flexible and efficient reverse engineering workflow.

77 13 MCP

18

GhidrAssistMCP

Bringing Model Context Protocol server connectivity to Ghidra for AI-assisted reverse engineering.

GhidrAssistMCP is a Ghidra extension providing a Model Context Protocol (MCP) server that allows AI assistants and other tools to interact programmatically with Ghidra's reverse engineering platform. It offers a standardized API for querying program data, managing tool interactions, and enabling real-time analysis features. The extension features a configurable UI, built-in logging, and dynamic management of 31 specialized analysis tools.

337 19 MCP

19

Binary Ninja MCP

Seamlessly integrate Binary Ninja with Model Context Protocol clients for enhanced reverse engineering.

Binary Ninja MCP enables real-time integration of Binary Ninja's reverse engineering environment with various Model Context Protocol (MCP) clients. It acts as a server exposing Binary Ninja's capabilities via HTTP endpoints and includes a bridge to connect to MCP clients. The extension supports auto-setup with popular clients such as Cline, Claude Desktop, Roo Code, and others, streamlining the use of AI-assisted workflows. This enhances tasks such as analyzing binaries, switching targets, and leveraging LLM-driven automation in reverse engineering.

112 35 MCP

20

MCP Language Server

Bridge codebase navigation tools to AI models using MCP-enabled language servers.

MCP Language Server implements the Model Context Protocol, allowing MCP-enabled clients, such as LLMs, to interact with language servers for codebase navigation. It exposes standard language server features—like go to definition, references, rename, and diagnostics—over MCP for seamless integration with AI tooling. The server supports multiple languages by serving as a proxy to underlying language servers, including gopls, rust-analyzer, and pyright.

1,256 94 MCP

21

MCP Server for Cortex

Bridge Cortex threat analysis capabilities to MCP-compatible clients like Claude.

MCP Server for Cortex exposes the analysis capabilities of a Cortex instance as tools consumable by Model Context Protocol (MCP) clients, such as large language models. It enables these clients to request threat intelligence analyses via Cortex and receive structured results. The server supports easy configuration, secure authentication, and flexible analyzer selection for integrating threat intelligence tasks into automated AI workflows.

12 4 MCP

22

ROADrecon MCP Server

Expose ROADRecon Azure AD data to AI assistants for advanced security analysis.

ROADrecon MCP Server implements the Model Context Protocol to provide seamless access to Azure AD data from ROADRecon instances for AI assistants like Claude. It enables secure retrieval and analysis of directory data, offers pre-built security analysis tools, and supplies prompt templates for common security tasks. The server facilitates structured data access and tool execution, streamlining organizational security reviews.

47 8 MCP

23

MCP Server for Milvus

Bridge Milvus vector database with AI apps using Model Context Protocol (MCP).

MCP Server for Milvus enables seamless integration between the Milvus vector database and large language model (LLM) applications via the Model Context Protocol. It exposes Milvus functionality to external LLM-powered tools through both stdio and Server-Sent Events communication modes. The solution is compatible with MCP-enabled clients such as Claude Desktop and Cursor, supporting easy access to relevant vector data for enhanced AI workflows. Configuration is flexible through environment variables or command-line arguments.

196 57 MCP

24

cloudflare/mcp-server-cloudflare

Connect Cloudflare services to Model Context Protocol (MCP) clients for AI-powered management.

Cloudflare MCP Server enables integration between Cloudflare's suite of services and clients using the Model Context Protocol (MCP). It provides multiple specialized servers that allow AI models to access, analyze, and manage configurations, logs, analytics, and other features across Cloudflare's platform. Users can leverage natural language interfaces in compatible MCP clients to read data, gain insights, and perform automated actions on their Cloudflare accounts. This project aims to streamline the orchestration of security, development, monitoring, and infrastructure tasks through standardized MCP connections.

2,919 251 MCP

25

MCP Link

Convert Any OpenAPI V3 API to an MCP Server for seamless AI Agent integration.

MCP Link enables automatic conversion of any OpenAPI v3-compliant RESTful API into a Model Context Protocol (MCP) server, allowing instant compatibility with AI-driven agent frameworks. It eliminates the need for manual interface creation and code modification by translating OpenAPI schemas into MCP endpoints. MCP Link supports robust feature mapping and authentication, making it easy to expose existing APIs to AI ecosystems using a standardized protocol. The tool is designed for both developers and organizations seeking to streamline API integration with AI agents.

572 68 MCP

26

mcp

Universal remote MCP server connecting AI clients to productivity tools.

WayStation MCP acts as a remote Model Context Protocol (MCP) server, enabling seamless integration between AI clients like Claude or Cursor and a wide range of productivity applications, such as Notion, Monday, Airtable, Jira, and more. It supports multiple secure connection transports and offers both general and user-specific preauthenticated endpoints. The platform emphasizes ease of integration, OAuth2-based authentication, and broad app compatibility. Users can manage their integrations through a user dashboard, simplifying complex workflow automations for AI-powered productivity.

27 6 MCP

27

mcpmcp-server

Seamlessly discover, set up, and integrate MCP servers with AI clients.

mcpmcp-server enables users to discover, configure, and connect MCP servers with preferred clients, optimizing AI integration into daily workflows. It supports streamlined setup via JSON configuration, ensuring compatibility with various platforms such as Claude Desktop on macOS. The project simplifies the connection process between AI clients and remote Model Context Protocol servers. Users are directed to an associated homepage for further platform-specific guidance.

17 6 MCP

28

MCP GitLab Jira Server

MCP server for seamless GitLab and Jira integration

MCP GitLab Jira Server acts as a bridge, enabling AI agents to interact programmatically with GitLab and Jira instances via the Model Context Protocol. It provides a standardized server interface for operations on projects, merge requests, pipelines, branches, issues, releases, and users in GitLab, as well as tickets and project management features in Jira. The server can be run as a CLI tool or in a Docker container, making it compatible with tools like gemini-cli. Configuration via environment variables allows secure authentication and flexible deployment.

6 4 MCP

29

MXCP

Enterprise-Grade Model Context Protocol Framework for AI Applications

MXCP is an enterprise-ready framework that implements the Model Context Protocol (MCP) for building secure, production-grade AI application servers. It introduces a structured methodology focused on data modeling, robust service design, policy enforcement, and comprehensive testing, integrated with strong security and audit capabilities. The framework enables rapid development and deployment of AI tools, supporting both SQL and Python environments, with built-in telemetry and drift detection for reliability and compliance.

49 6 MCP

30

Modbus MCP Server

Standardizes Modbus data for seamless AI integration via the Model Context Protocol.

Modbus MCP Server provides an MCP-compliant interface that standardizes and contextualizes Modbus device data for use with AI agents and industrial IoT systems. It supports flexible Modbus connections over TCP, UDP, or serial interfaces and offers a range of Modbus tools for reading and writing registers and coils. With customizable prompts and structured tool definitions, it enables natural language-driven interactions and analysis of Modbus data within AI workflows. The solution is designed to ensure interoperability and easy configuration within MCP-compatible environments.

18 7 MCP

31

MCP Server for TheHive

Connect AI-powered automation tools to TheHive incident response platform via MCP.

MCP Server for TheHive enables AI models and automation clients to interact with TheHive incident response platform using the Model Context Protocol. It provides tools to retrieve and analyze security alerts, manage cases, and automate incident response operations. The server facilitates seamless integration by exposing these functionalities over the standardized MCP protocol through stdio communication. It offers both pre-compiled binaries and a source build option with flexible configuration for connecting to TheHive instances.

11 3 MCP

32

Insforge MCP Server

A Model Context Protocol server for seamless integration with Insforge and compatible AI clients.

Insforge MCP Server implements the Model Context Protocol (MCP), enabling smooth integration with various AI tools and clients. It allows users to configure and manage connections to the Insforge platform, providing automated and manual installation methods. The server supports multiple AI clients such as Claude Code, Cursor, Windsurf, Cline, Roo Code, and Trae via standardized context management. Documentation and configuration guidelines are available for further customization and usage.

3 2 MCP

33

dbt MCP Server

Bridge dbt projects and AI agents with rich project context.

dbt MCP Server provides an implementation of the Model Context Protocol for dbt projects, enabling seamless integration between dbt and AI agents. It allows agents to access and understand the context of dbt Core, dbt Fusion, and dbt Platform projects. The tool supports connection to external AI products and offers resources for building custom agents. Documentation and examples are provided to facilitate adoption and integration.

420 90 MCP

34

OpenMCP

A standard and registry for converting web APIs into MCP servers.

OpenMCP defines a standard for converting various web APIs into servers compatible with the Model Context Protocol (MCP), enabling efficient, token-aware communication with client LLMs. It also provides an open-source registry of compliant servers, allowing clients to access a wide array of external services. The platform supports integration with local and remote hosting environments and offers tools for configuring supported clients, such as Claude desktop and Cursor. Comprehensive guidance is offered for adapting different API formats including REST, gRPC, GraphQL, and more into MCP endpoints.

252 27 MCP

35

HarmonyOS MCP Server

Enables HarmonyOS device manipulation via the Model Context Protocol.

HarmonyOS MCP Server provides an MCP-compatible server that allows programmatic control of HarmonyOS devices. It integrates with tools and frameworks such as OpenAI's openai-agents SDK and LangGraph to facilitate LLM-powered automation workflows. The server supports execution through standard interfaces and can be used with agent platforms to process natural language instructions for device actions. Its design allows for seamless interaction with HarmonyOS systems using the Model Context Protocol.

25 8 MCP

36

mcp-memgraph

Expose Memgraph database features via the Model Context Protocol.

mcp-memgraph provides an MCP (Model Context Protocol) server implementation, enabling Memgraph tools to be accessed over a lightweight STDIO protocol. It supports seamless integration with AI frameworks by standardizing context and communication for data-driven AI workflows. The toolkit is part of a larger suite for extending Memgraph with AI-powered capabilities, including tools for LangChain integration and automated database migration. Tested packages and usage examples are provided for quick adoption.

52 5 MCP

37

MaxMSP-MCP Server

Bridge LLMs with Max patches via Model Context Protocol

MaxMSP-MCP Server enables large language models to understand, explain, and generate Max patches by leveraging the Model Context Protocol. It connects LLM agents with MaxMSP environments, providing access to documentation and patch objects for detailed interaction. Installation includes both a Python server and Max environment integration, facilitating seamless Python-Max communication. The tool supports explaining patches, debugging, and synthesizer creation directly through LLM interfaces.

106 12 MCP

38

Hive Intelligence MCP Server

Unified MCP server delivering advanced cryptocurrency and Web3 analytics.

Hive Intelligence MCP Server provides comprehensive cryptocurrency, DeFi, and Web3 analytics via the Model Context Protocol. It enables AI assistants to access and orchestrate over 200 specialized tools covering market data, on-chain analytics, portfolio tracking, and security analysis. The server offers both dynamic and category-specific analytics through a unified MCP interface, facilitating intelligent tool orchestration for diverse crypto data needs.

7 5 MCP

39

codelogic-mcp-server

Leverage CodeLogic’s dependency data for AI-powered impact analysis.

Codelogic-mcp-server implements an MCP (Model Context Protocol) server, enabling integration of CodeLogic's software dependency data into AI programming assistants. It provides tools for code and database impact assessments by interacting with a CodeLogic server, enhancing context-aware code and database analysis. The server supports integration with popular IDEs, including VS Code and Claude Desktop, using Astral UV/UVX for communication. This solution is designed to bring actionable dependency insights to AI coding workflows.

31 14 MCP

40

dicom-mcp

A Model Context Protocol server for managing and querying DICOM medical imaging data.

dicom-mcp enables AI assistants and tools to query, read, and transfer data on DICOM servers, such as PACS and VNA systems. It integrates with MCP-compatible clients, offering tooling for searching patient records, retrieving medical reports, and sending image data to analysis endpoints. Configurable via YAML, it streamlines operations on DICOM databases for research and development in medical imaging. It is explicitly designed for interoperability with LLM-based AI workflows.

74 21 MCP

41

mcp-get

A command-line tool for discovering, installing, and managing Model Context Protocol servers.

mcp-get is a CLI tool designed to help users discover, install, and manage Model Context Protocol (MCP) servers. It enables seamless integration of Large Language Models (LLMs) with various external data sources and tools by utilizing a standardized protocol. The tool provides access to a curated registry of MCP servers and supports installation and management across multiple programming languages and environments. Although now archived, mcp-get simplifies environment variable management, package versioning, and server updates to enhance the LLM ecosystem.

497 103 MCP

42

Octocode MCP

Enterprise-grade AI context server for codebase research and analysis.

Octocode MCP is a Model Context Protocol (MCP) server designed to enable AI assistants to search, analyze, and extract insights from millions of GitHub repositories with high security and token efficiency. It offers intelligent orchestration for deep code research, planning, and agentic workflows, streamlining the process of building and understanding complex software projects. The platform features robust tools and commands, such as /research for expert code research, designed to support developers and AI systems with context-rich information.

577 45 MCP

43

Wazuh MCP Server

Bridge Wazuh SIEM data to AI assistants with Model Context Protocol compatibility.

Wazuh MCP Server is a Rust-based service that interfaces with Wazuh SIEM systems and transforms their complex data into Model Context Protocol (MCP) compatible formats. It enables AI assistants, including Claude Desktop Integration, to access security alerts, vulnerability assessments, agent health, and other SIEM insights through natural language queries. This solution facilitates compliance teams and security operations by providing actionable data for monitoring, forensics, compliance validation, and incident response.

137 35 MCP

44

Scrapeless MCP Server

A real-time web integration layer for LLMs and AI agents built on the open MCP standard.

Scrapeless MCP Server is a powerful integration layer enabling large language models, AI agents, and applications to interact with the web in real time. Built on the open Model Context Protocol, it facilitates seamless connections between models like ChatGPT, Claude, and tools such as Cursor to external web capabilities, including Google services, browser automation, and advanced data extraction. The system supports multiple transport modes and is designed to provide dynamic, real-world context to AI workflows. Robust scraping, dynamic content handling, and flexible export formats are core parts of the feature set.

57 10 MCP

45

OpsLevel MCP Server

Read-only MCP server for integrating OpsLevel data with AI tools.

OpsLevel MCP Server implements the Model Context Protocol to provide AI tools with a secure way to access and interact with OpsLevel account data. It supports read-only operations for a wide range of OpsLevel resources such as actions, campaigns, checks, components, documentation, domains, and more. The tool is compatible with popular environments including Claude Desktop and VS Code, enabling easy integration via configuration and API tokens. Installation options include Homebrew, Docker, and standalone binaries.

8 7 MCP

46

Intruder MCP

Enable AI agents to control Intruder.io via the Model Context Protocol.

Intruder MCP allows AI model clients such as Claude and Cursor to interactively control the Intruder vulnerability scanner through the Model Context Protocol. It can be deployed using smithery, locally with Python, or in a Docker container, requiring only an Intruder API key for secure access. The tool provides integration instructions tailored for MCP-compatible clients, streamlining vulnerability management automation for AI-driven workflows.

21 4 MCP

47

Taskade MCP

Tools and server for Model Context Protocol workflows and agent integration

Taskade MCP provides an official server and tools to implement and interact with the Model Context Protocol (MCP), enabling seamless connectivity between Taskade’s API and MCP-compatible clients such as Claude or Cursor. It includes utilities for generating MCP tools from any OpenAPI schema and supports the deployment of autonomous agents, workflow automation, and real-time collaboration. The platform promotes extensibility by supporting integration via API, OpenAPI, and MCP, making it easier to build and connect agentic systems.

90 20 MCP

48

Homebrew MCP Python Server

Expose Homebrew management as MCP tools for integration with AI clients.

Homebrew MCP Python Server provides an MCP-compliant interface to manage Homebrew packages on macOS via a Python-based server. It enables standardized control of Homebrew commands through the Model Context Protocol, supporting integration with Claude Desktop, Cursor, and other MCP-compatible clients. The server operates via stdio using JSON-RPC 2.0, logs all interactions, and offers a declarative Python implementation. It is designed for seamless tool-chaining, advanced context management, and easy integration into LLM-driven environments.

18 5 MCP

49

Neovim MCP Server

Connect AI assistants to Neovim via the Model Context Protocol.

Neovim MCP Server enables seamless integration between Neovim instances and AI assistants by implementing the Model Context Protocol (MCP). It allows for multi-connection management, supports both stdio and HTTP server transport modes, and provides access to structured diagnostic information via URI schemes. With LSP integration, plugin support, and an extensible tool system, it facilitates advanced interaction with Neovim for context-aware AI workflows.

20 3 MCP

50

GXtract MCP Server

MCP server for seamless GroundX platform integration with modern editors.

GXtract MCP Server implements the Model Context Protocol (MCP) to facilitate direct integration between the GroundX document understanding platform and editors such as VS Code. It offers tools for document search, querying, and semantic object explanations, leveraging Python 3.12+ and FastMCP v2 for high performance. The system includes an in-memory cache to boost efficiency and reduce API calls, with support for both stdio and HTTP transport layers for maximum flexibility.

1 3 MCP

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