Workers Observability MCP Server ๐Ÿ”ญ

This is a Model Context Protocol (MCP) server that supports remote MCPconnections, with Cloudflare OAuth built-in.

It integrates tools powered by Workers Observability to debugand get insight into your Workers' logs and analytics.

๐Ÿ”จ Available Tools

Currently available tools:

Category Tool Description
Workers Analytics query_worker_observability Queries Workers Observability API to analyze logs and metrics from your Cloudflare Workers. Supports listing events, calculating metrics, and finding specific invocations
Schema Discovery observability_keys Discovers available data fields in your Workers logs including metadata fields, worker-specific fields, and custom logged fields
Value Exploration observability_values Finds available values for specific fields in Workers logs to help build precise filters for analytics queries

This MCP server is still a work in progress, and we plan to add more tools in the future.

Prompt Examples

  • Can you tell me about any potential issues on this particular worker 'my-worker-name'?
  • Show me the CPU time usage for my worker 'api-gateway' over the last 24 hours
  • What were the top 5 countries by request count for my worker yesterday?
  • How many requests were made to my worker 'my-app' broken down by HTTP status code?
  • Compare the error rates between my production and staging workers

Access the remote MCP server from any MCP Client

If your MCP client has first class support for remote MCP servers, the client will provide a way to accept the server URL (https://observability.mcp.cloudflare.com) directly within its interface (for example in Cloudflare AI Playground).

If your client does not yet support remote MCP servers, you will need to set up its respective configuration file using mcp-remote to specify which servers your client can access.

Replace the content with the following configuration:

{
	"mcpServers": {
		"cloudflare": {
			"command": "npx",
			"args": ["mcp-remote", "https://observability.mcp.cloudflare.com/mcp"]
		}
	}
}

Once you've set up your configuration file, restart MCP client and a browser window will open showing your OAuth login page. Proceed through the authentication flow to grant the client access to your MCP server. After you grant access, the tools will become available for you to use.

Interested in contributing, and running this server locally? See CONTRIBUTING.md to get started.

MCP Server ยท Populars

MCP Server ยท New

    trendsmcp-ai

    Trends MCP

    MCP server for live trend data. Query Google Search, YouTube, TikTok, Reddit, Amazon, Wikipedia, News sentiment, Web Traffic, App Downloads, Steam, npm and more. Works with Claude, Cursor, VS Code, GitHub Copilot, ChatGPT, Windsurf, Cline, Raycast and any MCP-compatible.

    Community trendsmcp-ai
    jacob-bd

    Gemini Notebook (formerly Google NotebookLM) CLI & MCP Server

    Programmatic access to Gemini Notebook - via command-line interface (CLI), Model Context Protocol (MCP) server, and AI agent skills.

    Community jacob-bd
    PxyUp

    Fitter โ€” web data for AI agents

    New way for collect information from the API's/Websites

    Community PxyUp
    kayhendriksen

    foehn

    Download MeteoSwiss Open Government Data โ€” weather stations, radar, hail, forecasts and climate series โ€” via Python API, CLI, or MCP server, as DataFrames, Parquet, xarray Datasets or Zarr stores

    Community kayhendriksen
    mldsveda

    pyscrappy

    All-in-one Web Scrapper for Python

    Community mldsveda