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.

- 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.

- 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:

- 100API requestsper5minutesperIP address.

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

Driflyte MCP server supports the following CLI arguments for configuration:

- --transport <stdio|streamable-http>- Configures the transport protocol (defaults tostdio).
- --port <number>– Configures the port number to listen on when usingstreamable-httptransport (defaults to3000).

This MCP server (usingSTDIOorStreamable HTTPtransport) can be added to any MCP Client like VS Code, Claude, Cursor, Windsurf Github Copilot via the@driflyte/mcp-serverNPM package.

- Navigate toSettingsunder your profile and enableDeveloper Modeunder theConnectorsoption.
- In the chat panel, click the+icon, and from the dropdown, selectDeveloper Mode. You’ll see an option to add sources/connectors.
- Enter the following MCP Server details and then clickCreate:

- Name:Driflyte
- MCP Server URL:https://mcp.driflyte.com/openai
- Authentication:No authentication
- Trust Setting: CheckI trust this application

SeeHow to set up a remote MCP server and connect it to ChatGPT deep researchandMCP server tools now in ChatGPT – developer modefor more info.

Run the following command. SeeClaude Code MCP docsfor more info.

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

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

Add the following configuration into theclaude_desktop_config.jsonfile. See theClaude Desktop MCP docsfor more info.

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

Go to theSettings>Connectors>Add Custom Connectorin the Claude Desktop and add the new MCP server with the following fields:

- Name:Driflyte
- Remote MCP server URL:https://mcp.driflyte.com/mcp

Add the following configuration to themcpServerssection of your Copilot Coding Agent configuration throughRepository>Settings>Copilot>Coding agent>MCP configuration. See theCopilot Coding Agent MCP docsfor more info.

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

{ "mcpServers": { "driflyte": { "type": "http", "url": "https://mcp.driflyte.com/mcp" } } }

Add the following configuration into the~/.cursor/mcp.jsonfile (or.cursor/mcp.jsonin your project folder). Or setup by 🖱️One Click Installation. See theCursor MCP docsfor more info.

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

{ "mcpServers": { "driflyte": { "url": "https://mcp.driflyte.com/mcp" } } }

Add the following configuration into the~/.gemini/settings.jsonfile. See theGemini CLI MCP docsfor more info.

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

{ "mcpServers": { "driflyte": { "httpUrl": "https://mcp.driflyte.com/mcp" } } }

Run the following command. You can find your Smithery API keyhere. See theSmithery CLI docsfor more info.

npx -y @smithery/cli install @serkan-ozal/driflyte-mcp-server --client <SMITHERY-CLIENT-NAME> --key <SMITHERY-API-KEY>

Add the following configuration into the.vscode/mcp.jsonfile. Or setup by 🖱️One Click Installation. See theVS Code MCP docsfor more info.

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

{ "mcp": { "servers": { "driflyte": { "type": "http", "url": "https://mcp.driflyte.com/mcp" } } } }

Add the following configuration into the~/.codeium/windsurf/mcp_config.jsonfile. See theWindsurf MCP docsfor more info.

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

{ "mcpServers": { "driflyte": { "serverUrl": "https://mcp.driflyte.com/mcp" } } }

- list-topics: Returns a list of topics for which resources (web pages, etc ...) have been crawled and content is available. This allows AI assistants to discover the most relevant and up-to-date subject areas currently indexed by the crawler.

- Input Schema: No input parameter supported.
- Output Schema:

- topics:

- Optinal:false
- Type:Array<string>
- Description: List of the supported topics.

- Input Schema:

- topics

- Optinal:false
- Type:Array<string>
- Description: A list of one or more topic identifiers to constrain the search space. Only documents tagged with at least one of these topics will be considered.

- Optinal:false
- Type:string
- Description: The natural language query or question for which relevant information is being sought. This will be used to rank documents by semantic relevance.

- Optinal:true
- Type:number
- Default Value:10
- Min Value:1
- Max Value:30
- Description: The maximum number of relevant documents to return. Results are sorted by descending relevance score.

- documents:

- Optional:false
- Type:Array<Document>
- Description: Matched documents to the search query.
- Type:Document:

- content

- Optinal:false
- Type:string
- Description: Related content (full or partial) of the matched document.

- Optinal:false
- Type:Map<string, any>
- Description: Metadata of the document and related content in key-value format.

- Optinal:false
- Type:number
- Min Value:0
- Max Value:1
- Description: Similarity score (between0and1) for the content of the document.

- Support more content types (.pdf,.ppt/.pptx,.doc/.docx, and many others applicable including audio and video file formats ...)
- Integrate with more data sources (Slack, Teams, Google Docs/Drive, Confluence, JIRA, Zendesk, Salesforce, etc ...))
- And more topics with their resources

Please useGitHub Issuesfor any bug report, feature request and support.

CrawlForge MCP is a production-ready MCP server with 18 web scraping tools for AI agents. It gives Claude, Cursor, and any MCP-compatible client the ability to fetch URLs, extract structured data with CSS/XPath selectors, run deep multi-step research, bypass anti-bot detection with TLS fingerprint randomization, process documents, monitor page changes, and more. Credit-based pricing with a free tier (1,000 credits/month, no credit card required).