WebSearch-MCP - Alternatives & Competitors

Ranked by Relevance

• 1
  

  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
• 2
  

  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
• 3
  

  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
• 4
  

  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
• 5
  

  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
• 6
  

  mcp-server-webcrawl

  Advanced search and retrieval for web crawler data via MCP.

  mcp-server-webcrawl provides an AI-oriented server that enables advanced filtering, analysis, and search over data from various web crawlers. Designed for seamless integration with large language models, it supports boolean search, filtering by resource types and HTTP status, and is compatible with popular crawling formats. It facilitates AI clients, such as Claude Desktop, with prompt routines and customizable workflows, making it easy to manage, query, and analyze archived web content. The tool supports integration with multiple crawler outputs and offers templates for automated routines.

  32 7 MCP
• 7
  

  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
• 8
  

  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
• 9
  

  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
• 10
  

  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
• 11
  

  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
• 12
  

  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
• 13
  

  G-Search MCP

  Parallel Google search server with MCP support for structured AI context.

  G-Search MCP is a server for executing parallel Google searches optimized for use with AI tools through the Model Context Protocol. It efficiently handles multiple queries at once, simulates realistic user behavior to evade detection, and returns well-structured JSON responses. The server is configurable, supports parameter tuning like search limits and timeouts, and is designed for seamless integration in AI-driven environments such as Claude Desktop.

  224 29 MCP
• 14
  

  @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
• 15
  

  Bing Search MCP Server

  MCP server enabling Bing-powered web, news, and image search for AI assistants.

  Bing Search MCP Server provides a Model Context Protocol (MCP) compliant interface for integrating Microsoft Bing Search API capabilities with AI assistants. The server allows AI clients to perform web, news, and image searches programmatically, with features like rate limiting and comprehensive error handling. Designed for easy deployment, it supports integration with clients such as Claude Desktop and Cursor for enhanced search access. Secure configuration via environment variables enables safe use of API keys.

  65 7 MCP
• 16
  

  Ragie Model Context Protocol Server

  Seamless knowledge base retrieval via Model Context Protocol for enhanced AI context.

  Ragie Model Context Protocol Server enables AI models to access and retrieve information from a Ragie-managed knowledge base using the standardized Model Context Protocol (MCP). It provides a retrieve tool with customizable query options and supports integration with tools like Cursor and Claude Desktop. Users can configure API keys, specify partitions, and override tool descriptions. Designed for rapid setup via npx and flexible for project-specific or global usage.

  81 18 MCP
• 17
  

  WebScraping.AI MCP Server

  MCP server for advanced web scraping and AI-driven data extraction

  WebScraping.AI MCP Server implements the Model Context Protocol to provide web data extraction and question answering functionalities. It integrates with WebScraping.AI to offer robust tools for retrieving, rendering, and parsing web content, including structured data and natural language answers from web pages. It supports JavaScript rendering, proxy management, device emulation, and custom extraction configurations, making it suitable for both individual and team deployments in AI-assisted workflows.

  33 13 MCP
• 18
  

  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
• 19
  

  MCP Zotero

  Model Context Protocol server for seamless Zotero integration with AI tools.

  MCP Zotero provides a Model Context Protocol server enabling AI models such as Claude to access and interact with Zotero libraries. Users can securely link their Zotero accounts and perform actions including listing collections, retrieving papers, searching the library, and getting details about specific items. Integration is designed for both standalone operation and as an extension for tools like Claude Desktop.

  137 17 MCP
• 20
  

  MCP Server for the RAG Web Browser Actor

  Local MCP server enabling LLMs to browse and extract web content via RAG Web Browser integration.

  Implements a Model Context Protocol (MCP) server designed for integration with LLMs and Retrieval-Augmented Generation (RAG) pipelines, providing automated web search and web page extraction capabilities. Runs locally and interacts with the RAG Web Browser Actor in Standby mode, responding to queries by fetching, scraping, and returning cleaned content from the web as Markdown. Supports Google Search queries and direct URL fetching through a standardized 'search' tool interface, offering multiple output formats and programmable arguments. Deprecated in favor of mcp.apify.com but illustrates MCP server use for local web browsing integrations.

  194 25 MCP
• 21
  

  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
• 22
  

  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
• 23
  

  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
• 24
  

  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
• 25
  

  MCP-searxng

  MCP server bridging agentic systems with SearXNG web search

  MCP-searxng enables agentic systems to interface with web search engines via the SearXNG platform by implementing the Model Context Protocol. It supports both command-line and local server deployment, providing flexible integration options. Users can configure custom SearXNG server URLs and connect through clients like uvx or claude desktop. The tool simplifies access to structured web search within agentic workflows.

  107 19 MCP
• 26
  

  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
• 27
  

  Baseline MCP Server

  Brings web platform API support status to AI models via Model Context Protocol.

  Baseline MCP Server serves as a Model Context Protocol (MCP) server, providing API endpoints to retrieve the baseline support status of web platform features. It fetches data from the Web Platform Dashboard API and delivers web API compatibility details, including browser support levels, baseline status, and usage data, to MCP clients or AI models. The server is configurable for various MCP clients including Claude Desktop and Visual Studio Code, and can also be deployed via Docker or Deno environments. It enables integration of up-to-date, machine-readable browser compatibility information with large language models and development tools.

  36 3 MCP
• 28
  

  MCP ChatGPT Server

  Enables direct access to OpenAI's ChatGPT API from Claude Desktop via the Model Context Protocol.

  MCP ChatGPT Server runs as an MCP-compliant server, allowing users to access OpenAI's ChatGPT API seamlessly within Claude Desktop. It supports customizable model parameters, automated conversation state management, integrated web search for up-to-date information, and facilitates interactive discussions between Claude and ChatGPT. Users can configure model selection, temperature, token limits, and use their own OpenAI API keys.

  14 8 MCP
• 29
  

  Web3 Jobs MCP Server

  AI-ready MCP server delivering curated, real-time Web3 job listings.

  Web3 Jobs MCP Server provides real-time access to curated Web3 job listings from web3.career through a Model Context Protocol (MCP) interface, enabling intelligent job discovery for AI agents. The server supports advanced filtering by location, remote status, job tag, and result limits, and returns results in Markdown format. It enables the generation of natural language prompts for job searches, facilitating seamless integration with AI platforms such as Claude Desktop. Designed for Python 3.10+, it offers flexible deployment and configuration options.

  4 3 MCP
• 30
  

  Marketaux MCP Server

  MCP server integrating Marketaux news search API for contextual information retrieval.

  Marketaux MCP Server implements a Model Context Protocol (MCP) server that connects to the Marketaux news API, enabling contextual search based on entities, countries, industries, and symbols. It provides a standardized interface for AI models to retrieve news content relevant to various input parameters using the Marketaux API. The tool supports configurable options such as symbols, industries, language, and publication timestamps, delivering dynamic news search results. Environment configuration is enabled through API keys and customizable server setup.

  4 4 MCP
• 31
  

  NYTimes Article Search MCP Server

  Search New York Times articles via a Model Context Protocol server.

  NYTimes Article Search MCP Server is a TypeScript-based implementation of the Model Context Protocol that enables searching for New York Times articles from the past 30 days using keywords. It integrates with the official New York Times API and exposes a tool for streamlined article queries. Designed for use with systems like Claude Desktop, it includes support for installation via Smithery and provides development utilities such as an inspector for debugging MCP communication. The server handles MCP requests over stdio and securely accesses the NYT API via environment variables.

  15 9 MCP
• 32
  

  MCP Manager for Claude Desktop

  A desktop app to manage Model Context Protocol (MCP) servers for Claude Desktop on MacOS.

  MCP Manager for Claude Desktop provides a user-friendly interface to manage Model Context Protocol (MCP) servers, enabling Claude to access private data, APIs, and local or remote services securely from a MacOS desktop. It facilitates rapid configuration and integration with a wide variety of MCP servers, including productivity tools, databases, and web APIs. The app runs locally to ensure data privacy and streamlines connecting Claude to new sources through simple environment and server settings management.

  270 41 MCP
• 33
  

  Job Searchoor MCP Server

  A Model Context Protocol server for advanced job searching and filtering.

  Job Searchoor MCP Server provides a Model Context Protocol (MCP) implementation designed for job search functionality. It enables users or AI agents to retrieve available job listings with powerful filtering capabilities, such as time-based search, keyword inclusion/exclusion, and remote job filtering. It is designed for integration with systems like Claude Desktop, making job data accessible and queryable in standardized ways.

  53 8 MCP
• 34
  

  mcp-server-home-assistant

  A Model Context Protocol Server integration for Home Assistant.

  Provides an MCP server interface for Home Assistant, enabling context sharing between Home Assistant and AI models through the Model Context Protocol. Allows users to connect Claude Desktop and similar tools to Home Assistant via a WebSocket API and secure API token. Facilitates seamless integration by leveraging a custom Home Assistant component that is migrating into Home Assistant Core. Enables access and manipulation of smart home context data in standardized ways.

  64 8 MCP
• 35
  

  LlamaCloud MCP Server

  Connect multiple LlamaCloud indexes as tools for your MCP client.

  LlamaCloud MCP Server is a TypeScript-based implementation of a Model Context Protocol server that allows users to connect multiple managed indexes from LlamaCloud as separate tools in MCP-compatible clients. Each tool is defined via command-line parameters, enabling flexible and dynamic access to different document indexes. The server automatically generates tool interfaces, each capable of querying its respective LlamaCloud index, with customizable parameters such as index name, description, and result limits. Designed for seamless integration, it works with clients like Claude Desktop, Windsurf, and Cursor.

  82 17 MCP
• 36
  

  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
• 37
  

  ws-mcp

  WebSocket bridge for MCP stdio servers.

  ws-mcp wraps Model Context Protocol (MCP) stdio servers with a WebSocket interface, enabling seamless integration with web-based clients and tools. It allows users to configure and launch multiple MCP servers via a flexible configuration file or command-line arguments. The tool is designed to be compatible with services such as wcgw, fetch, and other MCP-compliant servers, providing standardized access to system operations, HTTP requests, and more. Integration with tools like Kibitz enables broader applications in model interaction workflows.

  19 7 MCP
• 38
  

  MCP Simple PubMed

  AI-accessible PubMed server with structured XML output

  MCP Simple PubMed is a server implementing the Model Context Protocol (MCP) that enables AI models to access PubMed articles via the Entrez API. It provides capabilities for searching the PubMed database, retrieving article abstracts, and downloading full text for open access articles. The server returns articles in an XML format optimized for AI consumption, preserving document structure. Installation is available via Smithery or pip, and integration with tools like Claude Desktop is supported.

  141 31 MCP
• 39
  

  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
• 40
  

  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
• 41
  

  Unsplash MCP Server

  Seamless Unsplash image integration via the Model Context Protocol.

  Unsplash MCP Server provides a simple and robust interface to search and integrate high-quality Unsplash images through the Model Context Protocol (MCP). It offers advanced photo search capabilities with filters for keywords, color schemes, orientation, and sorting. Designed for easy integration with development environments such as Cursor and Smithery, it simplifies embedding Unsplash image search into AI and automation workflows.

  186 20 MCP
• 42
  

  Fetcher MCP

  Intelligent web content fetching and extraction using Playwright.

  Fetcher MCP is a server that fetches and extracts web page content using the Playwright headless browser while supporting the Model Context Protocol. It intelligently processes dynamic web pages with JavaScript, employs the Readability algorithm to extract main content, and supports output in both HTML and Markdown formats. Designed for seamless integration with AI model environments, it offers robust parallel processing, resource optimization, and flexible deployment options including Docker.

  906 76 MCP
• 43
  

  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
• 44
  

  Pinecone Assistant MCP Server

  An MCP server for retrieving information from Pinecone Assistant.

  Pinecone Assistant MCP Server is an implementation of the Model Context Protocol (MCP) for seamless integration with Pinecone Assistant. It enables retrieval of information and supports configurable multiple result fetching. The server can be run via Docker or built from source with Rust and integrates with tools like Claude Desktop.

  37 7 MCP
• 45
  

  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.

  369 49 MCP
• 46
  

  mcp-simple-arxiv

  MCP server to search and retrieve arXiv scientific papers for LLM clients.

  mcp-simple-arxiv is an MCP-compliant server that enables language model clients to search and retrieve metadata, abstracts, and links for arXiv scientific papers. It can be run locally or as a network-accessible web service, facilitating seamless integration with desktop LLM clients like Claude Desktop. The server adheres to arXiv API guidelines, supports both stdio and web deployment modes, and is designed for easy installation through pip or Smithery. Users can perform detailed searches, view paper summaries, and access available formats directly from their preferred AI clients.

  164 21 MCP
• 47
  

  MCP Claude Hacker News

  Seamless Hacker News integration for Claude Desktop via Model Context Protocol.

  MCP Claude Hacker News is an MCP server that enables Claude Desktop to access, browse, and interact with Hacker News content. It allows users to view the latest, top, and best-rated stories, retrieve detailed information, and read story comments in a clean, structured format. Designed for easy integration, it supports both manual launch and automated startup with Claude Desktop.

  9 7 MCP
• 48
  

  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.

  13 6 MCP
• 49
  

  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
• 50
  

  MCP-wolfram-alpha

  An MCP server for querying the Wolfram Alpha API.

  MCP-wolfram-alpha provides an implementation of the Model Context Protocol, enabling integration with the Wolfram Alpha API. It exposes prompts and tools to facilitate AI systems in answering natural language queries by leveraging Wolfram Alpha's computational knowledge engine. The server requires an API key and offers configuration examples for seamless setup and development.

  64 17 MCP