Driflyte MCP Server - Alternatives & Competitors

Ranked by Relevance

• 1
  

  GitHub MCP Server

  Connect AI tools directly to GitHub for repository, issue, and workflow management via natural language.

  GitHub MCP Server enables AI tools such as agents, assistants, and chatbots to interact natively with the GitHub platform. It allows these tools to access repositories, analyze code, manage issues and pull requests, and automate workflows using the Model Context Protocol (MCP). The server supports integration with multiple hosts, including VS Code and other popular IDEs, and can operate both remotely and locally. Built for developers seeking to enhance AI-powered development workflows through seamless GitHub context access.

  24,418 2,997 MCP
• 2
  

  @growi/mcp-server

  Bridge GROWI wiki content to AI models with context-aware access and management.

  @growi/mcp-server acts as a Model Context Protocol (MCP) server that enables AI models to access, search, and manage GROWI wiki content within an organization. It facilitates seamless connection between multiple GROWI instances and language models, enhancing information retrieval and knowledge management capabilities. The platform provides comprehensive tools for page, tag, comment, and revision management as well as share link and user activity tracking. Its flexible configuration allows simultaneous operation with several GROWI apps for scalable deployment.

  10 7 MCP
• 3
  

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

  Powerful and extensible Model Context Protocol server with developer and productivity integrations.

  MyMCP Server is a robust Model Context Protocol (MCP) server implementation that integrates with services like GitLab, Jira, Confluence, YouTube, Google Workspace, and more. It provides AI-powered search, contextual tool execution, and workflow automation for development and productivity tasks. The system supports extensive configuration and enables selective activation of grouped toolsets for various environments. Installation and deployment are streamlined, with both automated and manual setup options available.

  93 9 MCP
• 4
  

  Google Workspace MCP Server

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

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

  890 259 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
  

  Klavis

  One MCP server for AI agents to handle thousands of tools.

  Klavis provides an MCP (Model Context Protocol) server with over 100 prebuilt integrations for AI agents, enabling seamless connectivity with various tools and services. It offers both cloud-hosted and self-hosted deployment options and includes out-of-the-box OAuth support for secure authentication. Klavis is designed to act as an intelligent connector, streamlining workflow automation and enhancing agent capability through standardized context management.

  5,447 500 MCP
• 7
  

  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
• 8
  

  Yuque-MCP-Server

  Seamless integration of Yuque knowledge base with Model-Context-Protocol for AI model context management.

  Yuque-MCP-Server provides an MCP-compatible server for interacting with the Yuque knowledge base platform. It enables AI models to retrieve, manage, and analyze Yuque documents and user information through a standardized Model-Context-Protocol interface. The server supports operations such as document creation, reading, updating, deletion, advanced search, and team statistics retrieval, making it ideal for AI-powered workflows. Inspired by Figma-Context-MCP, it facilitates contextual awareness and dynamic knowledge management for AI applications.

  31 13 MCP
• 9
  

  MCP Atlassian

  AI-powered MCP server integrating Confluence and Jira workflows.

  MCP Atlassian serves as a Model Context Protocol (MCP) server interface for Atlassian products such as Confluence and Jira, supporting both cloud and server/data center deployments. It enables AI assistants to access, search, and update Atlassian data contextually via standardized MCP endpoints. The integration streamlines tasks like intelligent issue filtering, documentation creation, and context-driven updates directly through natural language. Multiple authentication modes, including API tokens and OAuth 2.0, are supported for secure connectivity.

  3,574 740 MCP
• 10
  

  GitLab MR MCP

  An MCP server for AI-powered interaction with GitLab merge requests and issues.

  GitLab MR MCP implements a server for the Model Context Protocol (MCP) enabling AI agents to perform structured interactions with GitLab repositories. It provides capabilities for reading merge request and issue details, listing projects, fetching diffs and comments, and making changes such as commenting or updating titles and descriptions. Installation is supported via Smithery or manually, and integration with MCP clients and Inspector tools is documented for development and troubleshooting.

  65 19 MCP
• 11
  

  MCP Server Giphy

  MCP-compatible Giphy API server for AI models to search and retrieve GIFs.

  MCP Server Giphy provides an MCP-compliant server interface for accessing GIFs from the Giphy API, specifically tailored for seamless integration with AI models. It supports content filtering, multiple retrieval methods (search, trending, random), and optimized response formats with comprehensive metadata. The server enables AI applications to search, retrieve, and utilize GIF content efficiently, and is easily configurable with tools like Claude Desktop.

  22 8 MCP
• 12
  

  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
• 13
  

  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
• 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
  

  Jira MCP

  AI-Ready Jira Server for Real-World Developer Workflows

  Jira MCP is an opinionated server implementation of the Model Context Protocol (MCP) tailored for Jira automation and integration. It provides advanced tools to manage Jira issues, sprints, development data, and project versions, reflecting workflows of real engineering and QA teams. Designed for seamless AI and tool integrations, it supports context-rich retrieval of Jira information for enhancing development transparency and automation.

  69 19 MCP
• 16
  

  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
• 17
  

  mcp-kibela

  MCP server for secure, AI-assisted access to Kibela notes.

  mcp-kibela is a Model Context Protocol (MCP) server implementation that enables AI assistants to search, retrieve, create, and update content from Kibela, a team knowledge-sharing platform. It provides standardized endpoints for note search, fetching individual or recent notes, and managing note content. Integrating with tools like Claude, Cursor, and VSCode, it allows seamless, secure access to organizational knowledge through MCP-enabled clients. Authentication via environment variables ensures secure connections to Kibela APIs.

  12 7 MCP
• 18
  

  mcp-git-ingest

  MCP server for exploring GitHub repository structures and key files.

  mcp-git-ingest is a Model Context Protocol (MCP) server designed to programmatically read and visualize GitHub repository structures and retrieve important file contents. It leverages fastmcp for server functionality and gitpython for repository operations, ensuring robust error handling and cleanup. The tool offers commands to generate directory trees and fetch specified files, making it suitable for integrating repository context into AI workflows.

  286 38 MCP
• 19
  

  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
• 20
  

  Coda MCP Server

  A Model Context Protocol server enabling seamless interaction with Coda documents and pages.

  Coda MCP Server implements a Model Context Protocol (MCP) server that bridges AI assistants or MCP clients with the Coda API. It provides standardized tools for listing, creating, reading, updating, duplicating, and renaming Coda pages, as well as handling document context. The server communicates over standard input/output, supporting integration with platforms like Cursor and Claude Desktop, and can be deployed via Node.js or Docker.

  36 22 MCP
• 21
  

  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
• 22
  

  RAE Model Context Protocol (MCP) Server

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

  Provides a Model Context Protocol (MCP) server implementation for the Royal Spanish Academy API, facilitating integration with language models. Offers tools such as search and word information retrieval, exposing RAE’s dictionary and linguistic data to LLMs. Supports multiple transports including stdio and SSE, making it suitable for both direct and server-based LLM interactions.

  3 3 MCP
• 23
  

  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
• 24
  

  Kibela MCP Server

  MCP server for seamless LLM integration with Kibela knowledge management.

  Kibela MCP Server enables integration of Large Language Models (LLMs) with the Kibela note-sharing platform via the Model Context Protocol. It provides search, retrieval, and management of Kibela notes, users, groups, and folders, exposing these capabilities in a standardized MCP interface. The implementation utilizes Kibela's GraphQL API and supports configuration through environment variables and Docker. Designed for interoperability with tools like Cursor, it streamlines access and manipulation of organizational knowledge by AI systems.

  7 6 MCP
• 25
  

  GitHub Enterprise MCP Server

  Expose GitHub Enterprise data through a Model Context Protocol server.

  GitHub Enterprise MCP Server provides an MCP (Model Context Protocol) interface to integrate with GitHub Enterprise APIs, enabling standardized access to repository data, issues, pull requests, workflows, and user management. It is compatible with both GitHub Enterprise Server and GitHub.com environments and supports features like repository management, file browsing, and enterprise statistics. The platform is designed for seamless integration with tools such as Cursor, making it simple to interact with GitHub data programmatically or via MCP-compliant clients.

  25 7 MCP
• 26
  

  GitHub GraphQL MCP Server

  A Model Context Protocol server for executing arbitrary GraphQL queries on GitHub's API.

  GitHub GraphQL MCP Server is a Model Context Protocol (MCP) server that enables interaction with GitHub's GraphQL API. It allows users to execute any GraphQL queries and mutations against GitHub, supporting variable injection and error handling. The server is designed to integrate with Claude for Desktop, providing tooling for AI environments to access or manipulate GitHub data. Detailed documentation and configuration examples are provided for rapid setup and use.

  9 4 MCP
• 27
  

  godoc-mcp

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

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

  88 11 MCP
• 28
  

  Freshdesk MCP Server

  AI-powered Freshdesk integration for automated ticket and agent management via MCP.

  Enables seamless integration between AI models and Freshdesk by providing a Model Context Protocol (MCP) server interface. Supports a wide range of helpdesk operations such as ticket creation, updates, conversation management, agent handling, and contact management. Facilitates automated support workflows and allows AI agents to interact programmatically with Freshdesk modules.

  31 21 MCP
• 29
  

  Jotdown

  MCP Server for Notion Page Creation and mdBook Generation

  Jotdown is an MCP server enabling large language models to interact seamlessly with Notion and generate markdown books (mdBooks). It allows LLMs to create or update Notion pages and manage the entire process of markdown book creation, including structure and navigation. Leveraging the Model Context Protocol, it provides tools for consistent and intelligent context handling between LLMs and external content platforms.

  19 4 MCP
• 30
  

  arxiv-latex MCP Server

  Enables direct access to arXiv LaTeX sources for improved AI understanding in math-heavy papers.

  arxiv-latex MCP Server provides an MCP-compatible server that allows clients like Claude Desktop and Cursor to fetch and process the LaTeX source code of arXiv papers, leveraging precise access to mathematical content. By utilizing original LaTeX instead of PDF, it enables large language models to better understand complex equations and notations. Integration is straightforward through desktop extensions or manual configuration, and the tool is particularly valuable for research fields that rely on mathematical accuracy.

  72 7 MCP
• 31
  

  Agentic Long-Term Memory with Notion Integration

  Production-ready agentic long-term memory and Notion integration with Model Context Protocol support.

  Agentic Long-Term Memory with Notion Integration enables AI agents to incorporate advanced long-term memory capabilities using both vector and graph databases. It offers comprehensive Notion workspace integration along with a production-ready Model Context Protocol (MCP) server supporting HTTP and stdio transports. The tool facilitates context management, tool discovery, and advanced function chaining for complex agentic workflows.

  4 2 MCP
• 32
  

  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
• 33
  

  Tripadvisor MCP Server

  Standardized MCP access to Tripadvisor travel data for AI assistants

  Tripadvisor MCP Server provides Model Context Protocol (MCP) compliant access to Tripadvisor's Content API, enabling AI assistants to search, retrieve, and present travel-related information in a standardized way. It features endpoints for searching locations, accessing detailed information, reviews, and photos, as well as secure API key authentication. The project supports Docker containerization and interactive tools for customizable AI integration.

  47 11 MCP
• 34
  

  Reddit Summarizer MCP Server

  Summarize Reddit content through a Model Context Protocol server.

  Reddit Summarizer MCP Server provides an MCP-compliant server interface for summarizing Reddit homepages, specific subreddits, and comments on individual posts. It enables users to extract concise reports from Reddit using customizable parameters such as sorting methods, comment inclusion, and post limits. The tool is designed to integrate with MCP clients like Claude Desktop and leverages the Reddit API for data retrieval. Support for environment variables and structured prompts ensures adaptability for a variety of summarization needs.

  11 2 MCP
• 35
  

  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
• 36
  

  domain-lookup-mcp

  MCP server for domain name lookup using RDAP and WHOIS.

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

  5 2 MCP
• 37
  

  mcp-gsuite

  MCP server for integrating Google Gmail and Calendar with AI tools

  mcp-gsuite enables seamless integration of Google Workspace products, such as Gmail and Calendar, with AI models via the Model Context Protocol (MCP). It supports multiple Google accounts, OAuth2 authentication, and a variety of email and calendar management functions. Users can retrieve, compose, and manage emails or calendar events, and provide rich contextual information to AI systems.

  457 89 MCP
• 38
  

  Replicate Flux MCP

  MCP-compatible server for high-quality image and SVG generation via Replicate models.

  Replicate Flux MCP is an advanced Model Context Protocol (MCP) server designed to enable AI assistants to generate high-quality raster images and vector graphics. It leverages Replicate's Flux Schnell model for image synthesis and Recraft V3 SVG model for vector output, supporting seamless integration with AI platforms like Cursor, Claude Desktop, Smithery, and Glama.ai. Users can generate images and SVGs by simply providing natural language prompts, with support for parameter customization, batch processing, and variant creation.

  66 14 MCP
• 39
  

  Twitter MCP Server

  Programmatic Twitter account management via an MCP-compliant server.

  Twitter MCP Server enables programmatic management of Twitter accounts with features such as retrieving home timelines, fetching user tweets, conducting hashtag searches, handling direct messages, and performing tweet creation or deletion. The server appears designed for integration into multi-channel platforms following the Model Context Protocol. It requires Python 3.11+, utilizes environment configuration for credentials, and offers an API-driven interface for various Twitter operations.

  47 11 MCP
• 40
  

  QR Code Generation MCP Server

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

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

  11 4 MCP
• 41
  

  Airbnb Search & Listings - Desktop Extension (DXT)

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

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

  332 83 MCP
• 42
  

  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
• 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
  

  GitMCP

  Instantly turn any GitHub repository into an AI-ready documentation hub.

  GitMCP is a free, open-source, remote Model Context Protocol (MCP) server that gives AI assistants real-time access to the latest documentation and code from any GitHub repository. It transforms any GitHub project into an accessible documentation hub, enabling AI tools to deliver accurate results, reduce hallucinations, and improve code correctness. Supporting both specific and generic server modes, it allows seamless integration into developer workflows with zero setup. GitMCP emphasizes privacy, flexibility, and up-to-date information retrieval.

  6,916 571 MCP
• 45
  

  Biel.ai MCP Server

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

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

  2 2 MCP
• 46
  

  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
• 47
  

  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
• 48
  

  RAG Documentation MCP Server

  Vector-based documentation search and context augmentation for AI assistants

  RAG Documentation MCP Server provides vector-based search and retrieval tools for documentation, enabling large language models to reference relevant context in their responses. It supports managing multiple documentation sources, semantic search, and real-time context delivery. Documentation can be indexed, searched, and managed with queueing and processing features, making it highly suitable for AI-driven assistants. Integration with Claude Desktop and support for Qdrant vector databases is also available.

  238 29 MCP
• 49
  

  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
• 50
  

  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