Driflyte MCP server which lets AI assistants query topic-specific knowledge from web and GitHub.
Driflyte MCP server exists for a simple reason — assistants are far more useful when they can act on Driflyte directly instead of describing what you should do. Driflyte MCP server which lets AI assistants query topic-specific knowledge from web and GitHub.
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.
Being a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.
Once Driflyte is connected, these are the calls the assistant has available:
list-topics — Returns a list of topics for which resources (web pages, etc ...) have been crawled and content is availabletopics — - Optinal: falseType — ArrayDescription — List of the supported topicssearch — Given a list of topics and a user question, this tool retrieves the top-K most relevant documents from the crawled contentquery — Optinal: falsetopK — Optinal: truedocuments — - Optional: falsecontent — Optinal: falsemetadata — Optinal: falsescore — Optinal: falseChatGPT — The ChatGPT tool exposed by this serverAmong the AI and media services options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Driflyte's toolset — list-topics, topics, Type and 11 more — is a fair guide to whether it matches your workflow. It is maintained by com.driflyte; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| list-topics | Returns a list of topics for which resources (web pages, etc ...) have been crawled and content is available. |
| topics | - Optinal: false |
| Type | Array<string> |
| Description | List of the supported topics. |
| search | Given a list of topics and a user question, this tool retrieves the top-K most relevant documents from the crawled content. |
| query | Optinal: false |
| topK | Optinal: true |
| documents | - Optional: false |
| content | Optinal: false |
| metadata | Optinal: false |
| score | Optinal: false |
| ChatGPT | The ChatGPT tool exposed by this server. |
| Cursor | The Cursor tool exposed by this server. |
| Smithery | The Smithery tool exposed by this server. |
{
"mcpServers": {
"driflyte": {
"command": "npx",
"args": ["-y", "@driflyte/mcp-server"]
}
}
}Configuration as documented by the project. Restart the client after saving.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.