Fetcher MCP - Alternatives & Competitors

Ranked by Relevance

• 1
  

  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
• 2
  

  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
• 3
  

  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
• 4
  

  Web Analyzer MCP

  Intelligent web content analysis and summarization via MCP.

  Web Analyzer MCP is an MCP-compliant server designed for intelligent web content analysis and summarization. It leverages FastMCP to perform advanced web scraping, content extraction, and AI-powered question-answering using OpenAI models. The tool integrates with various developer IDEs, offering structured markdown output, essential content extraction, and smart Q&A functionality. Its features streamline content analysis workflows and support flexible model selection.

  2 3 MCP
• 5
  

  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
• 6
  

  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
• 7
  

  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
• 8
  

  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
• 9
  

  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
• 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
  

  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
• 12
  

  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
• 13
  

  @just-every/mcp-screenshot-website-fast

  Fast screenshot capture and tiling optimized for AI model workflows.

  Provides a fast and efficient command-line tool for capturing high-quality screenshots of webpages, specifically optimized for integration with AI vision workflows via the Model Context Protocol (MCP). Automates image tiling to 1072x1072 pixel chunks for optimal processing and compatibility with tools like Claude Vision API. Includes advanced features such as full-page capture, screencast recording, support for JavaScript injection, configurable viewports, and resource-efficient browser management.

  89 8 MCP
• 14
  

  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
• 15
  

  PDF Tools MCP

  Comprehensive PDF manipulation via MCP protocol.

  PDF Tools MCP provides an extensive suite of PDF manipulation operations using the Model Context Protocol framework. It supports both local and remote PDF tasks, such as rendering pages, merging, extracting metadata, retrieving text, and combining documents. The tool registers endpoints through the MCP protocol, enabling seamless server-based PDF processing for various clients. Built with Python, it emphasizes secure handling and compatibility with Claude Desktop via the Smithery ecosystem.

  31 8 MCP
• 16
  

  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
• 17
  

  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
• 18
  

  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
• 19
  

  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
• 20
  

  文颜 MCP Server (Wenyan MCP Server)

  AI-powered tool for publishing and formatting Markdown articles to WeChat official accounts via MCP.

  文颜 MCP Server is a server component based on the Model Context Protocol (MCP) that enables automated publishing and formatting of Markdown articles to the WeChat Official Account drafts. It integrates with AI tools and leverages a theming system shared with other Wenyan products to beautify content. The tool is designed for multi-platform use and supports integration with local, CI/CD, and Docker-based AI toolchains, offering seamless automation for article management and publication.

  907 101 MCP
• 21
  

  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
• 22
  

  GeekNews MCP Server

  Fetches and serves GeekNews articles and weekly news via Model Context Protocol.

  GeekNews MCP Server provides an MCP-compliant server to extract articles and weekly news from GeekNews, using Python and BeautifulSoup for web scraping. It supports scheduled automatic parsing and caching of data to minimize server load and ensure efficient retrieval. The server exposes tools to obtain articles by type and weekly news, offering structured metadata for each item. Integration is facilitated via Smithery and is compatible with the MCP ecosystem.

  16 6 MCP
• 23
  

  ONES Wiki MCP Server

  Spring AI MCP-based service for extracting and transforming ONES Wiki content for AI applications.

  ONES Wiki MCP Server provides an MCP-compliant service built on Spring AI MCP for retrieving and converting ONES Wiki content into structured, AI-friendly formats. It supports authentication with ONES platform, automatic translation of Wiki URLs to API endpoints, and outputs processed content as Markdown. The service can be configured through properties, command line arguments, or environment variables, and integrates with MCP-compatible clients such as Claude Desktop.

  2 2 MCP
• 24
  

  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
• 25
  

  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
• 26
  

  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
• 27
  

  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
• 28
  

  Octagon Deep Research MCP

  AI-powered, enterprise-grade deep research server for MCP clients.

  Octagon Deep Research MCP provides specialized AI-driven research and analysis via seamless integration with MCP-enabled applications. It offers comprehensive multi-source data aggregation, advanced analysis tools, and generates in-depth reports across various domains. The solution emphasizes high performance with no rate limits, enterprise-grade speed, and universal compatibility for teams needing thorough research capabilities.

  70 12 MCP
• 29
  

  MCP RSS Aggregator

  Fetch and read RSS feeds in Claude Desktop via Model Context Protocol.

  MCP RSS Aggregator enables Claude Desktop to access and display content from user-selected RSS feeds using the Model Context Protocol (MCP). It supports OPML and JSON formats for managing feed configurations, allowing users to import or customize their subscriptions easily. The tool organizes feeds by categories, filters content from different sources, and presents articles with well-formatted titles, snippets, and links. Integration with Claude Desktop allows seamless aggregation and delivery of real-time news content for users.

  16 9 MCP
• 30
  

  Stocky

  Find beautiful royalty-free stock images across multiple providers in one search.

  Stocky enables fast, asynchronous search and retrieval of royalty-free stock images from Pexels and Unsplash through a unified MCP-compatible interface. It supports rich metadata, provider flexibility, pagination, and robust error handling. Designed to operate as an MCP (Model Context Protocol) server, it integrates with MCP clients using standard client configuration and environment variables for API keys. Stocky provides Python async functions for searching, retrieving details, and downloading images with flexible output options.

  14 7 MCP
• 31
  

  JSON MCP Filter

  MCP server for JSON schema generation, smart filtering, and secure chunked data extraction.

  JSON MCP Filter is an MCP-compliant server offering robust JSON schema generation and field-level filtering tools for both local files and remote HTTP/HTTPS endpoints. Leveraging quicktype for precise TypeScript type creation, it supports advanced features such as smart shape-based filtering, auto-chunking of large datasets, and memory-safe processing. Designed for seamless integration with popular MCP clients, it excels at extracting and preparing relevant JSON data for large language model contexts.

  17 7 MCP
• 32
  

  mcp-dnstwist

  MCP server for advanced domain fuzzing and phishing detection.

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

  38 9 MCP
• 33
  

  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
• 34
  

  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
• 35
  

  Website Downloader MCP Server

  Download and archive entire websites as local, browsable directories via MCP.

  Website Downloader MCP Server provides a Model Context Protocol (MCP) compatible server that enables users to download entire websites using wget. It preserves the website structure, rewrites internal links for local browsing, and allows for custom download depth and output directories. The server is intended for integration into larger systems or AI workflows that utilize MCP servers. Installation instructions and usage examples are provided for multiple platforms.

  144 29 MCP
• 36
  

  Markdownify MCP Server

  Convert diverse files and web content into Markdown via the Model Context Protocol.

  Markdownify MCP Server offers a protocol-based server that transforms various file types—including PDF, images, audio, DOCX, XLSX, and PPTX—as well as web content like YouTube videos, Bing search results, and web pages into Markdown format. The server exposes a suite of conversion tools through a standardized interface for easy integration with applications. Optional configuration allows retrieval of Markdown files from restricted directories, and the platform supports development customization for additional tool integration. Deployment and operation are straightforward with cross-platform support (with pending Windows improvements).

  2,256 188 MCP
• 37
  

  MCP Design System Extractor

  Extract component metadata from Storybook design systems for AI model context.

  MCP Design System Extractor serves as a Model Context Protocol server that connects to Storybook instances to extract detailed information about UI components. It retrieves rendered HTML, styles, metadata, props, and dependencies from Storybook design systems. The tool leverages Puppeteer and Chrome/Chromium to provide dynamic JavaScript rendering of components and offers multiple tools to analyze and search components, props, themes, and layouts.

  33 10 MCP
• 38
  

  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
• 39
  

  Urlbox MCP Server

  Screenshot, PDF, HTML, and markdown generation MCP for websites.

  Urlbox MCP Server enables AI clients to generate website screenshots, PDFs, and extract HTML or markdown from web pages via the Urlbox Screenshot API. It supports automated extraction of metadata, cookies, and allows local file downloads. The server is designed to be integrated with LLMs, which can use its tools to capture and process web content on demand via standardized MCP interfaces. Environment variable configuration secures API access, and multiple formats are supported for flexible output.

  1 1 MCP
• 40
  

  RivalSearchMCP

  Advanced MCP server for web research, discovery, and trend analysis.

  RivalSearchMCP is an advanced Model Context Protocol (MCP) server designed to streamline web research, content discovery, and trend analysis. It offers tools for multi-engine web search, intelligent content retrieval, website analysis, and AI-driven content insights. The platform includes integrated trends analysis, research workflows with progress tracking, and automated generation of LLMs.txt documentation files. Its anti-detection features, real-time content streaming, and flexible data export options make it ideal for complex research and automation workflows.

  10 7 MCP
• 41
  

  Selenium MCP Server

  Model Context Protocol server for web automation via Selenium.

  Selenium MCP Server provides a Model Context Protocol (MCP) compliant interface that enables AI assistants to automate web interactions using Selenium WebDriver. It offers tools for page navigation, element discovery and manipulation, JavaScript execution, screenshot capture, and browser log access. The server supports seamless integration with MCP clients, extensible testing and debugging options, and fine-grained browser local storage management.

  3 1 MCP
• 42
  

  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
• 43
  

  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
• 44
  

  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
• 45
  

  MCP Content Summarizer Server

  Intelligent multi-format content summarization via MCP interface.

  MCP Content Summarizer Server provides intelligent summarization of various content types including text, web pages, PDF documents, and EPUB books using Google's Gemini 1.5 Pro model. Through the Model Context Protocol, it supports customizable, multi-language summaries with options for style and focus. It is designed for integration with applications as an MCP server and offers tools for both summarization and testing. The solution maintains key information while producing concise and context-aware summaries from diverse content sources.

  142 23 MCP
• 46
  

  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
• 47
  

  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
• 48
  

  Slite MCP Server

  Bridge Slite notes with AI model context using the MCP standard.

  Slite MCP Server implements the Model Context Protocol to interface with Slite's API, enabling seamless search, retrieval, and hierarchical browsing of workspace notes. It exposes standardized tools for searching notes, retrieving content by ID, and navigating note structures, making Slite content programmatically accessible to contextual AI pipelines. Built in Node.js and TypeScript, it is configurable and supports authentication via API key.

  0 0 MCP
• 49
  

  cryptopanic-mcp-server

  Provides real-time cryptocurrency news to AI agents via Model Context Protocol.

  cryptopanic-mcp-server delivers up-to-date cryptocurrency news to AI agents by integrating with the CryptoPanic API. It exposes an MCP-compliant server with a tool for fetching news or media headlines, supporting customization via API keys and configuration files. The implementation is intended for streamlined context integration into AI workflows, enhancing agent awareness with current crypto market updates.

  59 23 MCP
• 50
  

  Crypto News MCP Server

  Real-time cryptocurrency news and summaries for AI agents via Model Context Protocol.

  Crypto News MCP Server provides real-time cryptocurrency news and article search services to AI agents using the Model Context Protocol. It aggregates news from NewsData and exposes tools for fetching the latest headlines, keyword-based article search with pagination, and prompt generation for LLM-powered summarization. The server is compatible with MCP clients and can be integrated as a plugin for platforms like Claude Desktop.

  10 5 MCP