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AI Trends Remote MCP Server on Cloudflare (Without Auth)

AI Trends Remote MCP Server on Cloudflare (Without Auth)

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github.com/alberthupaDeveloper Tools1Updated 74w ago

About AI Trends Remote MCP Server on Cloudflare (Without Auth)

A Cloudflare-hosted MCP server for querying a curated dataset of AI trends. It provides tools to retrieve recent trends at daily, weekly, and monthly intervals and to ask questions about the dataset.

Key features

  1. 01Retrieve daily AI trends
  2. 02Retrieve weekly AI trends
  3. 03Retrieve monthly AI trends
  4. 04Ask questions about curated trend data

Use cases

  1. 01Review recent AI trends by time period
  2. 02Query the curated AI trends dataset

MCP support

Exposes get_latest_trends and ask_trends tools through MCP. The provided description does not specify a transport.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

AI Trends Remote MCP Server on Cloudflare (Without Auth)

This MCP server provides tools to interact with AI trends data. It includes two main functions:

  • get_latest_trends: Retrieves the latest AI trends (daily, weekly, and monthly)
  • ask_trends: Answers queries based on the curated AI trends dataset

To add your own tools to the MCP server, define each tool inside the init() method of src/index.ts using this.server.tool(...).

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.