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Driflyte

Driflyte

by serkan-ozal

GitHub 8 96 uses Remote
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About

Driflyte is a topic-aware knowledge retrieval platform that recursively crawls, indexes, and tags web content for use in RAG workflows. It exposes indexed documents through MCP tools, enabling AI assistants to retrieve real-world, timely information as grounding context for more accurate responses. Key capabilities include: - **Deep Web Crawling**: Recursively follows links to build comprehensive indexes of web pages with automatic topic tagging - **GitHub Integration**: Crawls repositories, issues, and discussions to surface code and community knowledge - **Topic-Aware Retrieval**: Documents are tagged with one or more topics, enabling precise, targeted searches rather than broad keyword matching - **RAG-Native Design**: Purpose-built to provide high-quality, structured documents as context for retrieval-augmented generation pipelines - **Multi-Source Roadmap**: Planned support for Slack, Microsoft Teams, Google Docs/Drive, Confluence, JIRA, Zendesk, and Salesforce

README

Driflyte MCP Server

[](https://lobehub.com/mcp/serkan-ozal-driflyte-mcp-server)

MCP Server for Driflyte.

The Driflyte MCP Server exposes tools that allow AI assistants to query and retrieve topic-specific knowledge from recursively crawled and indexed web pages. With this MCP server, Driflyte acts as a bridge between diverse, topic-aware content sources (web, GitHub, and more) and AI-powered reasoning, enabling richer, more accurate answers.

What It Does

  • Deep Web Crawling: Recursively follows links to crawl and index web pages.
  • GitHub Integration: Crawls repositories, issues, and discussions.
  • Extensible Resource Support: Future support planned for Slack, Microsoft Teams, Google Docs/Drive, Confluence, JIRA, Zendesk, Salesforce, and more.
  • Topic-Aware Indexing: Each document is tagged with one or more topics, enabling targeted, topic-specific retrieval.
  • Designed for RAG with RAG: The server itself is built with Retrieval-Augmented Generation (RAG) in mind, and it powers RAG workflows by providing assistants with high-quality, topic-specific documents as grounding context.
  • Designed for AI with AI: The system is not just for AI assistants — it is also designed and evolved using AI itself, making it an AI-native component for intelligent knowledge retrieval.
  • Usage & Limits

  • Free Access: Driflyte is currently free to use.
  • No Signup Required: You can start using it immediately — no registration or subscription needed.
  • Rate Limits: To ensure fair usage, requests are limited by IP:
  • - 100 API requests per 5 minutes per IP address.
  • Future changes to usage policies and limits may be introduced as new features and resource integrations become available.
  • Prerequisites

  • Node.js 18+
  • An AI assistant (with MCP client) like Cursor, Claude (Desktop or Code), VS Code, Windsurf, etc ...
  • Configurations

    CLI Arguments

    Driflyte MCP server supports the following CLI arguments for configuration:

  • --transport - Configures the transport protocol (defaults to stdio).
  • --port – Configures the port number to listen on when using streamable-http transport (defaults to 3000).
  • Quick Start

    This MCP server (using STDIO or Streamable HTTP transport) can be added to any MCP Client like VS Code, Claude, Cursor, Windsurf Github Copilot via the @driflyte/mcp-server NPM package.

    ChatGPT

  • Navigate to Settings under your profile and enable Developer Mode under the Connectors option.
  • In the chat panel, click the + icon, and from the dropdown, select Developer Mode.
  • You’ll see an option to add sources/connectors.
  • Enter the following MCP Server details and then click Create:
  • - Name: Driflyte - MCP Server URL: https://mcp.driflyte.com/openai - Authentication: No authentication - Trust Setting: Check I trust this application

    See How to set up a remote MCP server and connect it to ChatGPT deep research and MCP server tools now in ChatGPT – developer mode for more info.

    Claude Code

    Run the following command. See Claude Code MCP docs for more info.

    #### Local Server

    claude mcp add driflyte -- npx -y @driflye/mcp-server
    

    #### Remote Server

    claude mcp add --transport http driflyte https://mcp.driflyte.com/mcp
    

    Claude Desktop

    #### Local Server Add the following configuration into the claude_desktop_config.json file. See the Claude Desktop MCP docs for more info.

    {
      "mcpServers": {
        "driflyte": {
          "command": "npx",
          "args": ["-y", "@driflyte/mcp-server"]
        }
      }
    }
    

    #### Remote Server Go to the Settings > Connectors > Add Custom Connector in the Claude Desktop and add the new MCP server with the following fields:

  • Name: Driflyte
  • Remote MCP server URL: https://mcp.driflyte.com/mcp
  • Copilot Coding Agent

    Add the following configuration to the mcpServers section of your Copilot Coding Agent configuration through Repository > Settings > Copilot > Coding agent > MCP configuration. See the Copilot Coding Agent MCP docs for more info.

    #### Local Server ```json { "mcpS

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