MCP-searxng - Alternatives & Competitors

Ranked by Relevance

• 1
  

  tavily-search MCP server

  A search server that integrates Tavily API with Model Context Protocol tools.

  tavily-search MCP server provides an MCP-compliant server to perform search queries using the Tavily API. It returns search results in text format, including AI responses, URLs, and result titles. The server is designed for easy integration with clients like Claude Desktop or Cursor and supports both local and Docker-based deployment. It facilitates AI workflows by offering search functionality as part of a standardized protocol interface.

  44 11 MCP
• 2
  

  AgentQL MCP Server

  MCP-compliant server for structured web data extraction using AgentQL.

  AgentQL MCP Server acts as a Model Context Protocol (MCP) server that leverages AgentQL's data extraction capabilities to fetch structured information from web pages. It allows integration with applications supporting MCP, such as Claude Desktop, VS Code, and Cursor, by providing an accessible interface for extracting structured data based on user-defined prompts. With configurable API key support and streamlined installation, it simplifies the process of connecting web data extraction workflows to AI tools.

  120 28 MCP
• 3
  

  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
• 4
  

  Maigret MCP Server

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

  Maigret MCP Server provides Model Context Protocol (MCP) integration for the Maigret OSINT tool, enabling AI and context-aware applications to search for usernames across hundreds of social networks and analyze URLs. Designed for seamless operation with MCP-compatible clients like Claude Desktop, it supports multiple output formats and advanced filtering options. The server can be installed via Docker or npm, offers Docker-based deployment for consistent performance, and facilitates responsible OSINT research.

  205 29 MCP
• 5
  

  CVE-Search MCP Server

  MCP server for querying and managing CVE-Search vulnerability data.

  CVE-Search MCP Server implements the Model Context Protocol to provide structured access to the CVE-Search API. It enables querying vendors, products, and vulnerabilities, as well as retrieving detailed information for specific CVEs. The server facilitates model context integration via MCP client tools, supporting seamless interactions for vulnerability data management.

  67 11 MCP
• 6
  

  Vectorize MCP Server

  MCP server for advanced vector retrieval and text extraction with Vectorize integration.

  Vectorize MCP Server is an implementation of the Model Context Protocol (MCP) that integrates with the Vectorize platform to enable advanced vector retrieval and text extraction. It supports seamless installation and integration within development environments such as VS Code. The server is configurable through environment variables or JSON configuration files and is suitable for use in collaborative and individual workflows requiring vector-based context management for models.

  97 21 MCP
• 7
  

  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
• 8
  

  NCBI Literature Search MCP Server

  Seamless PubMed literature search via Model Context Protocol server.

  NCBI Literature Search MCP Server provides a Model Context Protocol (MCP) interface to search the vast PubMed database using natural language queries. It enables AI assistants to conduct comprehensive and advanced literature searches across biological and biomedical disciplines, returning metadata such as abstracts, author lists, MeSH terms, and DOIs. Designed for integration with AI tools, it supports advanced query capabilities and streamlines literature review and research discovery processes.

  6 1 MCP
• 9
  

  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
• 10
  

  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.

  9 2 MCP
• 11
  

  Pearch.ai MCP

  Natural Language People Search and Candidate Sourcing API for Seamless ATS Integration

  Pearch.ai MCP provides a high-precision people search API that interprets natural language queries to deliver top-quality candidate results. Designed for easy integration with Applicant Tracking Systems and hiring platforms, it leverages scientific methods and is trusted by recruiters. The tool is implemented as a Model Context Protocol (MCP), facilitating standardized model context handling and deployment via packages like FastMCP or through Smithery. The solution prioritizes ease of use, reliability, and high candidate match accuracy.

  5 4 MCP
• 12
  

  Think MCP Tool

  Structured reasoning for agentic AI with the 'think' tool via Model Context Protocol.

  Think MCP Tool provides an MCP (Model Context Protocol) server implementing the 'think' tool for structured reasoning in agentic AI workflows. Inspired by Anthropic's research, it enables AI agents to pause and explicitly record thoughts during complex, multi-step problem solving without altering the environment. The system enhances sequential decision-making, policy compliance, and tool output analysis, and offers advanced extensions for criticism, planning, and searching. Suitable for integration with Claude or other agentic large language models.

  80 13 MCP
• 13
  

  Bear MCP Server

  MCP server for accessing and searching Bear Notes on macOS.

  Bear MCP Server is an implementation of the Model Context Protocol that provides programmatic access to notes and tags stored in Bear Notes on macOS. It enables users to read, search, and list notes and tags via standardized MCP tools. The server connects to Bear's SQLite database and exposes essential commands for integration with AI models and workflows.

  40 6 MCP
• 14
  

  Shodan MCP Server

  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.

  83 16 MCP
• 15
  

  OSV MCP Server

  SSE-based MCP server for querying the OSV vulnerability database

  OSV MCP Server implements a Model Context Protocol (MCP) server that provides secure, programmatic access to the Open Source Vulnerabilities (OSV) database. It supports real-time streaming communication using SSE or streamable HTTP and allows querying of vulnerabilities for single or multiple packages, versions, or commits. The server is designed for integration with LLM-powered applications and supports configuration through environment variables and containerized deployments via ToolHive.

  25 4 MCP
• 16
  

  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.

  22 6 MCP
• 17
  

  vuln-nist-mcp-server

  Query and structure NIST NVD vulnerability data for LLMs via the Model Context Protocol.

  vuln-nist-mcp-server serves as a Model Context Protocol (MCP) server, providing structured and formatted access to the NIST National Vulnerability Database (NVD) for downstream AI models. It offers a suite of tools for querying and processing CVE and KEV data, with advanced filtering, temporal awareness, chunked querying for large date ranges, and robust input validation. This server is designed for seamless integration with MCP-compatible clients to support context-rich, time-relative, and targeted vulnerability information retrieval.

  7 1 MCP
• 18
  

  QR Code Generation MCP Server

  Generate customizable QR codes from text via an MCP-compliant server.

  Provides a server for generating QR codes from text input using the Model Context Protocol (MCP), supporting multiple transport modes such as STDIO, HTTP, and SSE. Allows customization of QR code appearance with options for color, style, and encoding settings. Outputs QR codes as base64 strings for easy integration or direct use in applications. Designed for compatibility with platforms like Claude Desktop and deployments using Docker or direct Python API usage.

  11 4 MCP
• 19
  

  Airbnb Search & Listings - Desktop Extension (DXT)

  Advanced Airbnb property search and listing details via Desktop Extension using MCP.

  Provides advanced Airbnb search and detailed property information retrieval through a Desktop Extension designed as a Model Context Protocol (MCP) server. Supports city and map-based queries, comprehensive filtering, Google Maps Place ID, and secure configuration. Easy installation and management is supported for Claude Desktop, Cursor, and other MCP-compatible environments, enabling seamless interaction with AI applications.

  332 83 MCP
• 20
  

  SearXNG MCP Server

  MCP-compliant server integrating the SearXNG API for advanced web search capabilities

  SearXNG MCP Server implements the Model Context Protocol and integrates the SearXNG API to provide extensive web search functionalities. It features intelligent caching, advanced content extraction, and multiple configurable search parameters such as language, time range, and safe search levels. The server exposes tools for both web searching and URL content reading, supporting detailed output customization through input parameters. Designed for seamless MCP deployments, it supports Docker and NPX-based installation with rich configuration options.

  321 56 MCP
• 21
  

  @dealx/mcp-server

  MCP server enabling LLMs to search and interact with the DealX platform.

  Implements the Model Context Protocol, providing a standardized interface for large language models to interact with the DealX platform. Supports searching for ads through structured prompts and is designed for easy integration with tools like Claude and VS Code extensions. Flexible configuration options are available for environment variables, logging, and deployment. Extensible architecture supports future feature additions beyond ad search.

  0 2 MCP
• 22
  

  Search1API MCP Server

  MCP server enabling search and crawl functions via Search1API.

  Search1API MCP Server is an implementation of the Model Context Protocol (MCP) that provides search and crawl services using the Search1API. It allows seamless integration with MCP-compatible clients, including LibreChat and various developer tools, by managing API key configuration through multiple methods. Built with Node.js, it supports both standalone operation and Docker-based deployment for integration in broader AI toolchains.

  157 39 MCP
• 23
  

  WebSearch-MCP

  Real-time web search for AI assistants via Model Context Protocol.

  WebSearch-MCP is a Model Context Protocol (MCP) server that enables real-time web search capabilities for AI assistants through the stdio transport. It connects with a web crawler API to retrieve up-to-date search results and serves these results to AI models like Claude. The solution offers straightforward configuration and seamless integration with various MCP clients, enhancing AI model access to current and relevant external information.

  19 7 MCP
• 24
  

  Nexus MCP Server

  AI integration without the complexity

  Nexus MCP Server implements the Model Context Protocol to provide streamlined AI-powered web search capabilities through OpenRouter and the Perplexity Sonar models. It enables intelligent model search and discovery for MCP-compatible clients such as Claude Desktop and Cursor, supporting context-rich queries and structured citation extraction. The server features robust deployment options, including zero-install NPX execution, and is fully implemented in TypeScript. Its architecture includes production-ready features like error handling, request caching, deduplication, and logging.

  16 5 MCP
• 25
  

  Brave Search MCP Server

  MCP-compliant server providing advanced Brave Search API tools via STDIO and HTTP.

  Implements a Model Context Protocol (MCP) server for integrating with the Brave Search API, offering tools for web, local business, image, video, and news searches along with AI-powered summarization. Supports both STDIO and HTTP transports and adheres to established MCP conventions for context management. Provides structured tool schemas and customizable parameters to handle sophisticated search queries and results. Enables advanced filtering, multi-type result aggregation, and seamless integration for AI model workflows.

  337 71 MCP
• 26
  

  OpenAI WebSearch MCP Server

  Intelligent web search with OpenAI reasoning model support, fully MCP-compatible.

  OpenAI WebSearch MCP Server provides advanced web search functionality integrated with OpenAI's latest reasoning models, such as gpt-5 and o3-series. It features full compatibility with the Model Context Protocol, enabling easy integration into AI assistants that require up-to-date information and contextual awareness. Built with flexible configuration options, smart reasoning effort controls, and support for location-based search customization. Suitable for environments such as Claude Desktop, Cursor, and automated research workflows.

  75 18 MCP
• 27
  

  mcp-local-rag

  Local RAG server for web search and context injection using Model Context Protocol.

  mcp-local-rag is a local server implementing the Model Context Protocol (MCP) to provide retrieval-augmented generation (RAG) capabilities. It performs live web search, extracts relevant context using Google's MediaPipe Text Embedder, and supplies the information to large language models (LLMs) for enhanced, up-to-date responses. The tool is designed for easy local deployment, requiring no external APIs, and is compatible with multiple MCP clients. Security audits are available, and integration is demonstrated across several LLM platforms.

  89 18 MCP
• 28
  

  Brave Search MCP Server

  MCP integration for web, image, news, video, and local search via Brave Search API.

  Implements a Model Context Protocol server that connects with the Brave Search API, enabling AI systems to perform comprehensive web, image, news, video, and local points of interest searches. Provides standardized MCP tools for various search types, each supporting advanced filtering parameters. Designed for easy integration in context-aware model interfaces such as Claude Code.

  86 17 MCP
• 29
  

  searchcraft-mcp-server

  An MCP Server for managing Searchcraft clusters and powering AI-driven search administration.

  searchcraft-mcp-server is a TypeScript/Node.js server that implements the Model Context Protocol (MCP) for Searchcraft clusters. It provides a suite of programmable tools for managing indexes, documents, federations, access keys, and analytics using plain English prompts via AI model clients. The server enables seamless interaction between AI interfaces like Claude Desktop and Searchcraft's administrative functions by exposing these operations as protocol-driven actions.

  6 2 MCP
• 30
  

  Dappier MCP Server

  Real-time web search and premium data access for AI agents via Model Context Protocol.

  Dappier MCP Server enables fast, real-time web search and access to premium data sources, including news, financial markets, sports, and weather, for AI agents using the Model Context Protocol (MCP). It integrates seamlessly with tools like Claude Desktop and Cursor, allowing users to enhance their AI workflows with up-to-date, trusted information. Simple installation and configuration are provided for multiple platforms, leveraging API keys for secure access. The solution supports deployment via Smithery and direct installation with 'uv', facilitating rapid setup for developers.

  35 11 MCP
• 31
  

  Parallel Search MCP

  Integrate Parallel Search API with any MCP-compatible LLM client.

  Parallel Search MCP provides an interface to use the Parallel Search API seamlessly from any Model Context Protocol (MCP)-compatible language model client. It serves as a proxy server that connects requests to the search API, adding the necessary support for authentication and MCP compatibility. The tool is designed for everyday web search tasks and facilitates easy web integration for LLMs via standardized MCP infrastructure.

  3 2 MCP
• 32
  

  Exa MCP Server

  Fast, efficient web and code context for AI coding assistants.

  Exa MCP Server provides a Model Context Protocol (MCP) server interface that connects AI assistants to Exa AI’s powerful search capabilities, including code, documentation, and web search. It enables coding agents to retrieve precise, token-efficient context from billions of sources such as GitHub, StackOverflow, and documentation sites, reducing hallucinations in coding agents. The platform supports integration with popular tools like Cursor, Claude, and VS Code through standardized MCP configuration, offering configurable access to various research and code-related tools via HTTP.

  3,224 244 MCP
• 33
  

  mcp-server-qdrant

  Official Model Context Protocol server for seamless integration with Qdrant vector search engine.

  mcp-server-qdrant provides an official implementation of the Model Context Protocol for interfacing with the Qdrant vector search engine. It enables storing and retrieving contextual information, acting as a semantic memory layer for LLM-driven applications. Designed for easy integration, it supports environment-based configuration and extensibility via FastMCP. The server standardizes tool interfaces for managing and querying contextual data using Qdrant.

  1,054 187 MCP
• 34
  

  ArXiv MCP Server

  Seamless AI access to arXiv papers via MCP interface

  ArXiv MCP Server enables AI assistants to search, retrieve, and interact with research papers from arXiv using the Model Context Protocol. It provides programmatic access for paper search, download, reading, and management, supporting integration with MCP-compatible clients. The solution offers both installation via Smithery and manual setup, along with tools for efficient paper handling. Local storage ensures quick access to previously downloaded papers and relevant research prompts.

  1,863 134 MCP
• 35
  

  Open-WebSearch MCP Server

  Multi-engine web search MCP server without API keys

  Open-WebSearch MCP Server is a Model Context Protocol (MCP) compliant server offering web search functionalities using multiple search engines without the need for API keys or authentication. It provides structured search results with titles, URLs, and descriptions, and enables fetching of article content from supported sources such as CSDN and GitHub. The server supports extensive configuration through environment variables, including proxy settings and search engine customization. Designed for flexibility, it operates in both HTTP and stdio modes, making it suitable for integration into larger systems.

  463 78 MCP
• 36
  

  DuckDuckGo Search MCP Server

  A Model Context Protocol server for DuckDuckGo web search and intelligent content retrieval.

  DuckDuckGo Search MCP Server provides web search capabilities through DuckDuckGo, with advanced content fetching and parsing tailored for large language models. It supports rate limiting, error handling, and delivers results in an LLM-friendly format. The server is designed for seamless integration with AI applications and tools like Claude Desktop, enabling enhanced web search and content extraction through the Model Context Protocol.

  637 118 MCP
• 37
  

  Kagi MCP Server

  Integrate Kagi Search and Summarization as Model Context Protocol tools.

  Kagi MCP Server enables easy integration of Kagi's search and summarization capabilities with AI systems via the Model Context Protocol. It facilitates tool-based queries such as searching web results or summarizing content, and offers setup instructions for various platforms including Claude Desktop. Users can install and configure the server through package managers, Smithery, or direct Python environments. The project provides configurable environment variables for API access and summarization engine selection, supporting both local development and production usage.

  216 24 MCP
• 38
  

  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.

  2 6 MCP
• 39
  

  Everything Search MCP Server

  Fast, cross-platform file search via Model Context Protocol integration.

  Everything Search MCP Server provides fast file and folder search capabilities across Windows, macOS, and Linux platforms as an MCP server. It leverages native search utilities such as the Everything SDK on Windows, mdfind on macOS, and locate/plocate on Linux. The tool exposes a standardized search interface with customizable parameters including query, sorting, and matching options. It is suitable for integration with AI clients or automation tools that follow the Model Context Protocol.

  268 35 MCP
• 40
  

  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
• 41
  

  pluggedin-mcp-proxy

  Unified proxy server for Model Context Protocol data exchanges and AI integrations

  Aggregates multiple Model Context Protocol (MCP) servers into a single, unified proxy interface, supporting real-time discovery, management, and orchestration of AI model resources, tools, and prompts. Enables seamless interaction between MCP clients such as Claude, Cline, and Cursor, while integrating advanced document search, AI document exchange, and workspace management. Provides flexible transport modes (STDIO and Streamable HTTP), robust authentication, and comprehensive security measures for safe and scalable AI data exchange.

  87 15 MCP
• 42
  

  MCP Web Research Server

  Bring real-time web research and Google search capabilities into Claude using MCP.

  MCP Web Research Server acts as a Model Context Protocol (MCP) server, seamlessly integrating web research functionalities with Claude Desktop. It enables Google search, webpage content extraction, research session tracking, and screenshot capture, all accessible directly from Claude. The server supports interactive and guided research sessions, exposing session data and screenshots as MCP resources for enhanced context-aware AI interactions.

  284 73 MCP
• 43
  

  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
• 44
  

  kagi-server MCP Server

  TypeScript-based MCP server for Kagi Search API integration.

  Kagi-server MCP Server provides a TypeScript implementation of a Model Context Protocol (MCP) server that integrates with the Kagi Search API. It enables standardized tool access for performing web searches and plans for features like summarization, FastGPT integration, and enriched news results. Compatible with Claude Desktop and Smithery installations, it supports secure environment configuration and offers developer utilities such as automatic build and debugging via MCP Inspector.

  40 11 MCP
• 45
  

  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
• 46
  

  Chainlist MCP Server

  Fast, structured EVM chain info for AI agents via the Model Context Protocol

  Chainlist MCP Server enables AI agents and MCP-compatible clients to quickly access and search verified EVM blockchain data. It sources data from Chainlist.org and provides efficient REST-like tools for retrieving details by chain ID or searching by keyword. The server outputs structured Markdown responses, supporting AI context integration with tabulated RPC endpoints and explorers for clarity.

  2 2 MCP
• 47
  

  VikingDB MCP Server

  MCP server for managing and searching VikingDB vector databases.

  VikingDB MCP Server is an implementation of the Model Context Protocol (MCP) that acts as a bridge between VikingDB, a high-performance vector database by ByteDance, and AI model context management frameworks. It allows users to store, upsert, and search vectorized information efficiently using standardized MCP commands. The server supports various operations on VikingDB collections and indexes, making it suitable for integrating advanced vector search in AI workflows.

  3 5 MCP
• 48
  

  Pica MCP Server

  A Model Context Protocol (MCP) server for seamless integration with 100+ platforms via Pica.

  Pica MCP Server provides a standardized Model Context Protocol (MCP) interface for interaction with a wide range of third-party services through Pica. It enables direct platform integrations, action execution, and intelligent intent detection while prioritizing secure environment variable management. The server also offers features such as code generation, form and data handling, and robust documentation for platform actions. It supports multiple deployment methods, including standalone, Docker, Vercel, and integration with tools like Claude Desktop and Cursor.

  8 5 MCP
• 49
  

  Google News MCP Server

  A Model Context Protocol server providing Google News search with smart categorization and multi-language support.

  Implements a Model Context Protocol (MCP) server that integrates with SerpAPI to deliver advanced Google News search capabilities. Automatically categorizes news results, supports various languages and regions, and provides multiple search options such as query-based and topic search. Features robust error handling and flexible response types to suit diverse application needs.

  93 20 MCP
• 50
  

  FHIR MCP Server

  A Model Context Protocol server for seamless interaction with FHIR resources and AI tools.

  FHIR MCP Server implements a full Model Context Protocol server, enabling large language model agents to perform comprehensive CRUD operations on FHIR-compliant healthcare data. It offers standardized integration with various clinical data sources, natural-language query capabilities, and supports secure authentication via OAuth2. The server includes semantic search, AI-powered document processing, terminology resolution, Docker deployment, and is optimized for use with MCP-compatible clients like Claude Desktop.

  34 5 MCP