domain-lookup-mcp - Alternatives & Competitors

MCP server for domain name lookup using RDAP and WHOIS.

Provides an MCP-compliant server that allows clients to perform domain name lookups via RDAP and WHOIS protocols. The tool is built in Go and can be directly integrated with any MCP client configuration. It automates the retrieval of domain registration details, streamlining the process of accessing authoritative domain information.

#domain lookup #rdap #whois #network tools #registration data #Go server

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    mcp-difyworkflow-server

    mcp-difyworkflow-server

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    mcp-difyworkflow-server is an MCP-compliant server tool that facilitates the querying and invocation of custom Dify workflows. It supports dynamic execution of multiple workflows by interfacing with the Dify platform, enabling users to manage workflow credentials and operations efficiently. Configuration allows mapping of workflows to API keys, and commands to list or execute available workflows are provided.

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    MyMCP Server (All-in-One Model Context Protocol)

    MyMCP Server (All-in-One Model Context Protocol)

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    RAE Model Context Protocol (MCP) Server

    RAE Model Context Protocol (MCP) Server

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

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  • 4
    godoc-mcp

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    Token-efficient Go documentation server for LLMs using Model Context Protocol.

    godoc-mcp is a Model Context Protocol (MCP) server that provides efficient, structured access to Go package documentation for large language models. It enables LLMs to understand Go projects without reading entire source files by supplying essential documentation and source code at varying levels of granularity. The tool supports project navigation, automatic module setup, caching, and works offline for both standard and third-party Go packages.

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  • 5
    MCP Server for Odoo

    MCP Server for Odoo

    Connect AI assistants to Odoo ERP systems using the Model Context Protocol.

    MCP Server for Odoo enables AI assistants such as Claude to interact seamlessly with Odoo ERP systems via the Model Context Protocol (MCP). It provides endpoints for searching, creating, updating, and deleting Odoo records using natural language while respecting access controls and security. The server supports integration with any Odoo instance, includes smart features like pagination and LLM-optimized output, and offers both demo and production-ready modes.

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  • 6
    Make MCP Server (legacy)

    Make MCP Server (legacy)

    Enable AI assistants to utilize Make automation workflows as callable tools.

    Make MCP Server (legacy) provides a Model Context Protocol (MCP) server that connects AI assistants with Make scenarios configured for on-demand execution. It parses and exposes scenario parameters, allowing AI systems to invoke automation workflows and receive structured JSON outputs. The server supports secure integration through API keys and facilitates seamless communication between AI and Make's automation platform.

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  • 7
    Code Declaration Lookup MCP Server

    Code Declaration Lookup MCP Server

    Fast, language-agnostic code declaration search and lookup server via MCP.

    Provides a Model Context Protocol (MCP) server that indexes code declarations using universal ctags and SQLite with FTS5 full-text search. Offers search and listing functionality for functions, classes, structures, enums, and other code elements across any language supported by ctags. Enables seamless integration with coding agents for dynamic indexing, respects .gitignore, and supports ctags file ingestion and management.

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  • 8
    Confluence Communication Server MCP Server

    Confluence Communication Server MCP Server

    Seamlessly interact with Confluence using standardized MCP tools.

    Confluence Communication Server MCP Server is a TypeScript-based implementation that enables seamless interaction with Confluence through the Model Context Protocol. It provides tools for running CQL queries, retrieving, and updating Confluence page content, thus showcasing and adhering to core MCP concepts. The server is compatible with Claude Desktop and supports installation via Smithery, emphasizing ease of integration and automation for Confluence management tasks.

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  • 9
    mcp-dnstwist

    mcp-dnstwist

    MCP server for advanced domain fuzzing and phishing detection.

    mcp-dnstwist is a Model Context Protocol (MCP) server built around dnstwist, providing robust tools for domain permutation, DNS analysis, and phishing detection. It integrates with MCP-compatible clients like Claude Desktop, enabling automated security research to identify typosquatting, phishing, and potential brand impersonation domains. The tool supports customizable DNS queries, output formats, and parallel processing, making it suitable for professionals seeking to enhance domain security postures.

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  • 10
    sslmon-mcp

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    Domain registration and SSL certificate monitoring via Model Context Protocol.

    sslmon-mcp is a Model Context Protocol (MCP) compliant server that enables querying domain registration details and SSL certificate information for any given domain. It offers both HTTP-based remote service and a local NPX server for integration with AI tools and platforms. The tool helps automate security monitoring, domain lifecycle management, and certificate validity tracking via standardized API endpoints.

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  • 11
    MCP Domain Availability Checker

    MCP Domain Availability Checker

    Seamless domain availability checking across 50+ TLDs for Claude Desktop via MCP integration.

    MCP Domain Availability Checker provides robust domain name availability searching across more than 50 popular TLDs, leveraging both DNS and WHOIS for accurate verification. It offers natural language queries, smart TLD suggestions, and bulk checking capabilities, optimized for integration with Claude Desktop through the Model Context Protocol. The tool enables real-time status updates, fast parallel processing, and organizes results by TLD categories to streamline domain discovery workflows.

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  • 12
    go-mcp-mysql

    go-mcp-mysql

    Zero-burden Model Context Protocol (MCP) server for MySQL automation.

    go-mcp-mysql is a ready-to-use server that implements the Model Context Protocol (MCP) for seamless interaction and automation with MySQL databases. Written in Go, it enables users to perform CRUD operations and check query plans without requiring a Node.js or Python environment. The server supports both command-line and DSN configurations, includes a read-only mode, and features a set of tools for managing schema and data. It is designed for low-overhead deployment and flexible MySQL automation workflows.

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  • 13
    mcp-gopls

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    MCP server bridging Go's LSP and AI assistants for advanced code analysis.

    Implements a Model Context Protocol (MCP) server enabling AI assistants to interact with the Go Language Server Protocol (LSP) for analyzing and understanding Go code. Provides tools for navigation, diagnostics, references, hover info, completion suggestions, and code coverage. Integrates with 'gopls' to deliver precise code intelligence tailored for AI-driven workflows. Designed for seamless integration with platforms that support MCP, including AI development assistants.

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  • 14
    mcp-recon

    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.

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  • 15
    Shodan MCP Server

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    Query Shodan network intelligence and CVEDB via standardized MCP integration.

    Shodan MCP Server provides an MCP-compliant interface to query the Shodan API and Shodan CVEDB for network intelligence, device discovery, and vulnerability data. It integrates with platforms like Claude Desktop, enabling structured, formatted results for seamless AI workflows. Key functionalities include IP reconnaissance, DNS operations, vulnerability lookups, and internet-connected device searches. Easy installation options are available via npm, Smithery, or from source.

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  • 16
    IPLocate MCP Server

    IPLocate MCP Server

    Comprehensive IP address geolocation and network intelligence via MCP.

    Provides an MCP server interface to IPLocate.io, delivering detailed IP address intelligence including geolocation, network details, privacy detection, and abuse contact information. Easily integrates with popular MCP clients like Cursor and Claude Desktop for seamless IP lookups. Enables users to retrieve geographic, organizational, and security-related data associated with IPv4 and IPv6 addresses by connecting to the IPLocate.io API.

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  • 17
    Aiwen MCP Server for IP Geolocation

    Aiwen MCP Server for IP Geolocation

    High-precision IP geolocation and risk analysis via MCP-compatible API server.

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  • 18
    Google Workspace MCP Server

    Google Workspace MCP Server

    Full natural language control of Google Workspace through the Model Context Protocol.

    Google Workspace MCP Server enables comprehensive natural language interaction with Google services such as Calendar, Drive, Gmail, Docs, Sheets, Slides, Forms, Tasks, and Chat via any MCP-compatible client or AI assistant. It supports both single-user and secure multi-user OAuth 2.1 authentication, providing a production-ready backend for custom apps. Built on FastMCP, it delivers high performance and advanced context handling, offering deep integration with the entire Google Workspace suite.

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  • 19
    godoc-mcp-server

    godoc-mcp-server

    Provides Go package documentation from pkg.go.dev to LLMs as an MCP server.

    godoc-mcp-server enables searching Golang packages and obtains their documentation from pkg.go.dev, serving the information to language models via the Model Context Protocol. Communication occurs over standard input/output, supporting efficient retrieval of package information, including support for subpackages and usage instructions. The tool includes local caching and features tailored to LLM integration scenarios.

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  • 20
    VictoriaMetrics MCP Server

    VictoriaMetrics MCP Server

    Model Context Protocol server enabling advanced monitoring and observability for VictoriaMetrics.

    VictoriaMetrics MCP Server implements the Model Context Protocol (MCP) to provide seamless integration with VictoriaMetrics, allowing advanced monitoring, data exploration, and observability. It offers access to almost all read-only APIs, as well as embedded documentation for offline usage. The server facilitates comprehensive metric querying, cardinality analysis, alert and rule testing, and automation capabilities for engineers and tools.

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  • 21
    Package Version MCP Server

    Package Version MCP Server

    Check latest stable package versions across multiple registries with an MCP server.

    Package Version MCP Server acts as an MCP-compliant server that assists large language models in fetching the latest stable versions of packages from a variety of registries such as npm, PyPI, Maven Central, Go Proxy, Swift Packages, AWS Bedrock, Docker Hub, GitHub Container Registry, and GitHub Actions. It can be integrated via command-line, URL, or containers and is tailored for development environments and tools that require accurate package versioning for code generation or recommendations. The solution is adaptable and is transitioning towards incorporation in the broader mcp-devtools suite.

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  • 22
    MCP Toolbox for Databases

    MCP Toolbox for Databases

    Open source MCP server for secure and efficient Gen AI database integrations.

    MCP Toolbox for Databases is an open source server that implements the Model Context Protocol (MCP) for database interactions in Gen AI workflows. It manages core complexities such as connection pooling, authentication, and tool integration, enabling developers to create and deploy database tools with ease and enhanced security. The toolbox supports streamlined connections between development environments and databases, offering observability, context-aware code generation, and automation features. Its design emphasizes rapid integration, reusable tools, and compatibility with AI assistants.

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  • 23
    IP Geolocation MCP Server

    IP Geolocation MCP Server

    Enables IP-based geolocation for AI workflows via MCP-compliant tooling.

    IP Geolocation MCP Server provides a Model Context Protocol (MCP) server that integrates with the ipinfo.io API to fetch detailed IP address information. It allows obtaining location, organization, and network details about users, facilitating context-aware AI applications. The tool can be seamlessly installed or integrated in client environments supporting MCP, with a focus on simplicity and developer-friendliness.

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  • 24
    MCP K8S Go

    MCP K8S Go

    Golang-based MCP server that enables AI-driven interactions with Kubernetes clusters.

    MCP K8S Go provides a server implementation of the Model Context Protocol for managing and interacting with Kubernetes clusters. It offers functionality to list, retrieve, create, and modify Kubernetes resources such as contexts, namespaces, pods, and nodes using standardized context-aware approaches. Designed for integration with AI assistants like Claude Desktop, it enables prompting and tool execution to manage cluster state, monitor events, fetch pod logs, and run in-pod commands. The solution supports deployment via various installation methods including Docker, Node.js, and Go binaries.

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  • 25
    Maigret MCP Server

    Maigret MCP Server

    OSINT username and URL search server for the Model Context Protocol.

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  • 26
    MCP Link

    MCP Link

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    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.

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  • 27
    MCP Language Server

    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.

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  • 28
    ZoomEye MCP Server

    ZoomEye MCP Server

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    ZoomEye MCP Server implements the Model Context Protocol (MCP) to provide network asset intelligence to AI assistants and development tools. It enables querying of global internet assets through ZoomEye's cyber asset search engine using structured parameters and dorks. The server includes features like caching, error handling, and compatibility with leading MCP environments, supporting real-time cyber asset data integration for various AI and developer platforms.

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  • 29
    Package Registry MCP Server

    Package Registry MCP Server

    MCP server for searching and retrieving package registry information.

    Package Registry MCP Server provides a Model Context Protocol interface that enables AI assistants and agents such as Claude, Cursor, and Copilot to search and retrieve up-to-date information from major package registries. It supports searching and querying detailed data for NPM, crates.io, NuGet, PyPI, and Go modules directly from the source registries. Integrations are provided for various AI tools, facilitating easy and standardized package data access.

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  • 30
    Graphlit MCP Server

    Graphlit MCP Server

    Integrate and unify knowledge sources for RAG-ready AI context with the Graphlit MCP Server.

    Graphlit MCP Server provides a Model Context Protocol interface, enabling seamless integration between MCP clients and the Graphlit platform. It supports ingestion from a wide array of sources such as Slack, Discord, Google Drive, email, Jira, and GitHub, turning them into a searchable, RAG-ready knowledge base. Built-in tools allow for document, media extraction, web crawling, and web search, as well as advanced retrieval and publishing functionalities. The server facilitates easy configuration, sophisticated data operations, and automated notifications for diverse workflows.

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  • 31
    Multi Database MCP Server

    Multi Database MCP Server

    A unified server for structured, multi-database access via the Model Context Protocol.

    Multi Database MCP Server provides a standardized interface for AI assistants to access and manage multiple databases concurrently through the Model Context Protocol. It supports automatic tool generation for SQL queries, transactions, schema exploration, and performance analysis for each connected database. Built using Clean Architecture, it is fully compatible with OpenAI Agents SDK, enabling seamless integration. The platform simplifies configuration and interaction with MySQL and PostgreSQL databases in a robust, modular environment.

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  • 32
    IP Find MCP Server

    IP Find MCP Server

    A Model Context Protocol server for IP location lookups by AI assistants.

    IP Find MCP Server acts as a Model Context Protocol (MCP) server, allowing AI assistants to access geolocation data from the IP Find API. It connects the IP Find API with AI tools, enabling the retrieval of IP address location information in standardized contexts. Designed for integration with MCP clients such as the Claude Desktop App, it simplifies configuration and secure API key management. The server is certified by MCPHub.

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  • 33
    Edge Delta MCP Server

    Edge Delta MCP Server

    Seamlessly integrate Edge Delta APIs into the Model Context Protocol ecosystem.

    Edge Delta MCP Server is a Model Context Protocol server enabling advanced integration with Edge Delta APIs. It allows developers and tools to extract, analyze, and automate observability data from Edge Delta through standardized MCP interfaces. The server supports AI-powered applications and automations, and can be deployed via Docker for straightforward operation. The Go API is available for experimental programmatic access.

    5 4 MCP
  • 34
    mcpmcp-server

    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.

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  • 35
    Godot MCP

    Godot MCP

    A Model Context Protocol (MCP) server implementation using Godot and Node.js.

    Godot MCP implements the Model Context Protocol (MCP) as a server, leveraging the Godot game engine along with Node.js and TypeScript technologies. Designed for seamless integration and efficient context management, it aims to facilitate standardized communication between AI models and applications. This project offers a ready-to-use MCP server for developers utilizing Godot and modern JavaScript stacks.

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  • 36
    Campertunity MCP Server

    Campertunity MCP Server

    Model Context Protocol server for AI-driven camping and outdoor recreation data

    Implements the Model Context Protocol (MCP) to provide AI models with structured access to camping and outdoor recreation data. Offers tools for searching, filtering, and booking campgrounds and sites based on a wide range of criteria. Enhances data accuracy with AI and aggregates information from multiple sources, enabling dynamic, real-time queries and bookings. Ideal for integrating intelligent camping experiences into AI-driven applications.

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    Driflyte MCP Server

    Driflyte MCP Server

    Bridging AI assistants with deep, topic-aware knowledge from web and code sources.

    Driflyte MCP Server acts as a bridge between AI-powered assistants and diverse, topic-aware content sources by exposing a Model Context Protocol (MCP) server. It enables retrieval-augmented generation workflows by crawling, indexing, and serving topic-specific documents from web pages and GitHub repositories. The system is extensible, with planned support for additional knowledge sources, and is designed for easy integration with popular AI tools such as ChatGPT, Claude, and VS Code.

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  • 38
    Kanboard MCP Server

    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
  • 39
    Agentset MCP

    Agentset MCP

    Open-source MCP server for Retrieval-Augmented Generation (RAG) document applications.

    Agentset MCP provides a Model Context Protocol (MCP) server designed to power context-aware, document-based applications using Retrieval-Augmented Generation. It enables developers to rapidly integrate intelligent context retrieval into their workflows and supports integration with AI platforms such as Claude. The server is easily installable via major JavaScript package managers and supports environment configuration for namespaces, tenant IDs, and tool descriptions.

    22 10 MCP
  • 40
    VictoriaLogs MCP Server

    VictoriaLogs MCP Server

    MCP server enabling advanced read-only access and observability for VictoriaLogs

    VictoriaLogs MCP Server implements the Model Context Protocol (MCP) to provide seamless, read-only integration with VictoriaLogs instances. It enables comprehensive access to VictoriaLogs APIs, allowing for log querying, exploration, and advanced observability tasks. The server includes embedded and searchable documentation and supports automation and interaction capabilities via standardized MCP tools. Designed to combine with other MCP servers, it enhances engineering workflows for log analysis and troubleshooting.

    30 7 MCP
  • 41
    Google Tasks MCP Server

    Google Tasks MCP Server

    Integrate and manage Google Tasks via standardized MCP tools and resources.

    Google Tasks MCP Server integrates seamlessly with Google Tasks, providing standardized tools for listing, searching, creating, updating, and deleting tasks. Following the Model Context Protocol, it exposes task resources and actions in a way that can be easily integrated with MCP-driven applications, including desktop AI assistants. The server supports OAuth authentication, context-driven task manipulation, and automated integration with platforms like Smithery and Claude Desktop.

    91 32 MCP
  • 42
    dicom-mcp

    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
  • 43
    Biel.ai MCP Server

    Biel.ai MCP Server

    Seamlessly connect IDEs to your company’s product documentation using an MCP server.

    Biel.ai MCP Server enables AI tools such as Cursor, VS Code, and Claude Desktop to access and utilize a company’s product documentation and knowledge base through the Model Context Protocol. It provides a hosted RAG layer that makes documentation searchable and usable, supporting real-time, context-rich completion and answers for developers. The server can be used as a hosted solution or self-hosted locally or via Docker for advanced customization.

    2 2 MCP
  • 44
    GhidrAssistMCP

    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
  • 45
    mcp-get

    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
  • 46
    IP2Location.io MCP server

    IP2Location.io MCP server

    Geolocation lookup server for IP addresses via Model Context Protocol.

    Implements a Model Context Protocol (MCP) server that provides comprehensive geolocation and network details for IPv4 and IPv6 addresses using the IP2Location.io API. Designed for integration with tools like Claude Desktop, it offers asynchronous processing and supports both free and API-key authenticated usage. It returns extensive data such as geographic location, ISP, domain information, proxy detection, and security insights.

    12 8 MCP
  • 47
    OpenMCP

    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
  • 48
    CRIC物业AI MCP Server

    CRIC物业AI MCP Server

    行业级物业AI智能体,基于MCP协议的多场景助手

    CRIC物业AI MCP Server is a server-side implementation based on the Model Context Protocol (MCP), offering intelligent assistance specifically for the property management sector. It integrates multi-modal large models and RAG technology to provide industry research, legal insights, community governance, project operations, and copywriting support. The platform leverages extensive proprietary datasets and real-time data monitoring to deliver accurate, context-driven services for diverse property-related business scenarios.

    1 3 MCP
  • 49
    BGG MCP

    BGG MCP

    Model Context Protocol server for BoardGameGeek data, collections, pricing, and recommendations.

    BGG MCP provides access to BoardGameGeek data via the Model Context Protocol, enabling AI assistants to retrieve and filter information on board games, user collections, prices, and gameplay recommendations. Implemented in Go, it leverages BoardGameGeek APIs and includes advanced tools such as rule question answering and game trading discovery. Additional integrations include real-time price data from BoardGamePrices.co.uk and algorithmic recommendations from Recommend.Games, making it a comprehensive MCP server for gaming-related contexts.

    21 5 MCP
  • 50
    Multi-Database MCP Server (by Legion AI)

    Multi-Database MCP Server (by Legion AI)

    Unified multi-database access and AI interaction server with MCP integration.

    Multi-Database MCP Server enables seamless access and querying of diverse databases via a unified API, with native support for the Model Context Protocol (MCP). It supports popular databases such as PostgreSQL, MySQL, SQL Server, and more, and is built for integration with AI assistants and agents. Leveraging the MCP Python SDK, it exposes databases as resources, tools, and prompts for intelligent, context-aware interactions, while delivering zero-configuration schema discovery and secure credential management.

    76 19 MCP

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