Nexus MCP Server - Alternatives & Competitors

Ranked by Relevance

• 1
  

  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
• 2
  

  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
• 3
  

  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
• 4
  

  @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
• 5
  

  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
• 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
  

  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
• 8
  

  NyxDocs

  MCP server for real-time cryptocurrency project documentation and insights.

  NyxDocs is a Model Context Protocol (MCP) compatible server built in Python for managing and serving up-to-date documentation for cryptocurrency projects. It aggregates information from multiple sources such as CoinGecko, GitHub, GitBook, Notion, and official websites, providing real-time data and updates on blockchain ecosystems. Featuring tools for searching projects, retrieving detailed info, extracting documentation, and monitoring changes, it is tailored for developers and AI contexts needing access to accurate crypto documentation. The architecture leverages a FastMCP-based server core, automated document scrapers, and supports multi-blockchain environments.

  3 3 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
  

  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
• 11
  

  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
• 12
  

  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
• 13
  

  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
• 14
  

  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
• 15
  

  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.

  2 1 MCP
• 16
  

  OPNsense MCP Server

  AI-powered firewall and network management for OPNsense

  OPNsense MCP Server provides a comprehensive Model Context Protocol server for automating and managing OPNsense firewall configurations. It enables AI assistants, such as Claude, to directly interact with and control networking features including firewall rules, NAT, VLANs, diagnostics, and advanced system operations via API and SSH. The tool supports batch operations, direct command execution, and advanced troubleshooting, enhancing network management automation. It also supports integration for infrastructure as code and toolchains supporting MCP environments.

  26 3 MCP
• 17
  

  ZoomEye MCP Server

  Real-time cyberspace asset intelligence for AI assistants via Model Context Protocol.

  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.

  50 13 MCP
• 18
  

  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
• 19
  

  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
• 20
  

  RAD Security MCP Server

  AI-powered security insights for Kubernetes and cloud environments via the Model Context Protocol.

  RAD Security MCP Server is an implementation of the Model Context Protocol designed to deliver AI-powered security insights and operations for Kubernetes and cloud platforms. It serves as an MCP server for RAD Security, providing a range of toolkits for container, cluster, identity, audit, and threat management. The server is easily configurable via environment variables, allowing for flexible toolkit activation and authentication options. Multiple deployment options are supported, including Node.js, Docker, and integration with development environments like Cursor IDE and Claude Desktop.

  5 5 MCP
• 21
  

  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.

  11 4 MCP
• 22
  

  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
• 23
  

  Wanaku MCP Router

  A router connecting AI-enabled applications through the Model Context Protocol.

  Wanaku MCP Router serves as a middleware router facilitating standardized context exchange between AI-enabled applications and large language models via the Model Context Protocol (MCP). It streamlines context provisioning, allowing seamless integration and communication in multi-model AI environments. The tool aims to unify and optimize the way applications provide relevant context to LLMs, leveraging open protocol standards.

  87 32 MCP
• 24
  

  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
• 25
  

  Plugwise MCP Server

  TypeScript-based Model Context Protocol server for Plugwise smart home integration.

  Plugwise MCP Server is a TypeScript-based server that implements the Model Context Protocol (MCP) for integrating Plugwise smart home devices. It enables automatic discovery and secure management of Plugwise hubs, provides control over thermostats, switches, and smart plugs, and supports real-time device updates and energy monitoring. Designed for compatibility with popular MCP clients such as Claude Desktop, Cline, Cursor, and VS Code Copilot via standard I/O transport, it offers robust support for multiple hubs and both mock and real hardware environments.

  0 1 MCP
• 26
  

  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
• 27
  

  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
• 28
  

  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
• 29
  

  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
• 30
  

  Panther MCP Server

  Natural language and IDE-powered server for detection, alert triage, and data lake querying in Panther.

  Panther MCP Server enables interactive management of security alerts, data lake queries, and scheduled reporting using natural language and integrated tools. It allows users to write and tune detections from an IDE, triage and comment on alerts, and execute advanced queries against security logs. The system provides a wide range of operations including alert investigation, bulk updates, AI-powered triage insight generation, and data lake schema exploration. Integration with the Model Context Protocol ensures standardized and extensible interactions for security operations.

  32 14 MCP
• 31
  

  GXtract MCP Server

  MCP server for seamless GroundX platform integration with modern editors.

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

  1 3 MCP
• 32
  

  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
• 33
  

  FastMCP

  TypeScript framework for building robust MCP servers with minimal setup.

  FastMCP is a TypeScript framework designed for building servers that adhere to the Model Context Protocol (MCP), enabling efficient management of client sessions and context. It streamlines the creation of MCP servers by providing intuitive APIs, built-in authentication, session and request tracking, and support for handling various content types such as images and audio. The framework also enforces best practices around error handling, logging, and streaming outputs. Developers benefit from reduced boilerplate and a focus on core MCP functionality.

  2,738 231 MCP
• 34
  

  Naver Search MCP Server

  Unified Naver Search and DataLab API integration for context-aware tools.

  Naver Search MCP Server provides a Model Context Protocol (MCP) compliant server that integrates Naver Search and DataLab APIs. It enables easy and comprehensive search across a wide range of Naver services, as well as advanced trend analysis with context-aware tools. The implementation supports Smithery platform installation, temporal context handling, and offers tools for both information retrieval and data analytics within the Naver ecosystem.

  45 20 MCP
• 35
  

  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
• 36
  

  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
• 37
  

  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
• 38
  

  Hacker News MCP Server

  An MCP server for accessing and analyzing Hacker News stories, comments, and users.

  Hacker News MCP Server implements the Model Context Protocol to provide tools for fetching and searching Hacker News stories, retrieving story comments, and accessing user information. It integrates seamlessly with AI assistants like Claude Desktop and supports use via Smithery. The server is designed for structured information retrieval, contextual exploration, and summarization of Hacker News content.

  55 17 MCP
• 39
  

  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
• 40
  

  MCP OpenNutrition

  Provides local, privacy-preserving access to a comprehensive food and nutrition database via the Model Context Protocol.

  MCP OpenNutrition is a Model Context Protocol (MCP) server offering access to a large, authoritative nutrition database with over 300,000 food items sourced from trusted public datasets. It enables searching by name, browsing, detailed nutritional lookups by ID, and barcode scanning, all running locally for privacy and low latency. The tool is designed for seamless integration with AI systems that follow the MCP standard, such as Claude/Cline, to enhance food and nutrition query capabilities.

  134 11 MCP
• 41
  

  mcp-read-website-fast

  Fast, token-efficient web content extraction and Markdown conversion for AI agents.

  Provides a Model Context Protocol (MCP) compatible server that rapidly fetches web pages, removes noise, and converts content to clean Markdown with link preservation. Designed for local use by AI-powered tools like IDEs and large language models, it offers optimized token usage, concurrency, polite crawling, and smart caching. Integrates with Claude Code, VS Code, JetBrains IDEs, Cursor, and other MCP clients.

  111 18 MCP
• 42
  

  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
• 43
  

  National Parks MCP Server

  Real-time access to U.S. National Parks data via the Model Context Protocol.

  Provides an MCP-compliant API server for real-time information on U.S. National Parks. Offers endpoints to query park details, alerts, activities, visitor centers, campgrounds, and events. Designed for easy integration with AI agents and tools that utilize the Model Context Protocol for context management.

  35 13 MCP
• 44
  

  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
• 45
  

  mcp-security-audit

  MCP server for automated npm package security auditing.

  mcp-security-audit is an MCP (Model Context Protocol) server designed to audit npm package dependencies for security vulnerabilities. It supports real-time vulnerability scanning, integrates directly with remote npm registries, and generates detailed reports with severity, CVSS scores, and CVE information. Compatible with npm, pnpm, and yarn, it also provides automatic fix recommendations and supports standardized MCP integration for tools like Cursor and Cline.

  46 8 MCP
• 46
  

  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
• 47
  

  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
• 48
  

  Hacker News MCP Server

  Fetch and structure Hacker News stories via the Model Context Protocol.

  Provides an MCP server that enables fetching and parsing stories from Hacker News with structured output. Supports retrieval of different types of stories, configurable limits, and clean error handling. Designed for integration with Claude and other MCP-compatible interfaces, offering a standardized tool for AI-driven access to Hacker News data.

  35 9 MCP
• 49
  

  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
• 50
  

  Content Core

  AI-powered content extraction and processing platform with seamless model context integration.

  Content Core is an AI-driven platform for extracting, formatting, transcribing, and summarizing content from a wide variety of sources including documents, media files, web pages, images, and archives. It offers intelligent auto-detection and engine selection to optimize processing, and provides integrations via CLI, Python library, Raycast extension, macOS Services, and the Model Context Protocol (MCP). The platform supports context-aware AI summaries and direct integration with Claude through MCP for enhanced user workflows. Users can access zero-install options and benefit from enhanced processing capabilities such as advanced PDF parsing, OCR, and smart summarization.

  85 20 MCP