Cloudflare Observabilityvf.sr
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Debug Cloudflare Workers by querying their logs and analytics in plain language.
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mcp.tc/i/cloudflare-observabilitylisting.about
Connects an assistant to Cloudflare Workers Observability. It can query logs and metrics from your Workers, list events, calculate metrics, find specific invocations, and discover which fields and values exist in your log data to build precise filters.
Runs as a hosted remote server at https://observability.mcp.cloudflare.com/mcp using streamable HTTP. You sign in with Cloudflare OAuth in your browser, and the tools become available after authorization. The source is in the cloudflare/mcp-server-cloudflare repository (Apache-2.0) if you want to run it locally.
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- Query Workers logs and metrics
- List events and find specific invocations
- Calculate metrics such as CPU time and request counts
- Discover available log fields in your Workers data
- Explore field values to build precise filters
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Can you tell me about any potential issues on my 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?
Compare the error rates between my production and staging workers
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Claude Code
- Run this in a terminal, in your project folder:
claude mcp add --transport http cloudflare-observability https://observability.mcp.cloudflare.com/mcp- Start Claude Code, type
/mcp, pick cloudflare-observability and choose Authenticate. A browser window opens for the Cloudflare sign-in.
Add --scope user to make it available in every project, not just this one.
Claude Desktop
- Open Settings → Connectors and click Add custom connector.
- Name it Cloudflare Observability and paste this URL:
https://observability.mcp.cloudflare.com/mcp- Click Add, then Connect, and sign in when Cloudflare asks.
Claude Desktop's JSON config file only starts local servers. Remote servers go through Connectors, and connectors you add on claude.ai show up here too.
claude.ai
- Open the connector form on claude.ai. This button fills in the name and URL for you:
- Check that the URL reads
https://observability.mcp.cloudflare.com/mcpand click Add. - Click Connect and sign in when Cloudflare asks.
Free plans allow one custom connector. On Team and Enterprise plans an owner adds it under Organization settings → Connectors.
ChatGPT
- On chatgpt.com, open Settings → Security and login and turn on Developer mode.
- Go to
chatgpt.com/pluginsand click + to create an app for a remote MCP server. - Paste
https://observability.mcp.cloudflare.com/mcpas the server URL and choose OAuth. ChatGPT sends you to Cloudflare to sign in.
Developer mode is available on the web for Plus, Pro, Business, Enterprise and Education accounts.
Cursor
Or add it by hand to ~/.cursor/mcp.json (all projects) or .cursor/mcp.json (this project):
{
"mcpServers": {
"cloudflare-observability": {
"url": "https://observability.mcp.cloudflare.com/mcp"
}
}
}Cursor shows Needs login next to the server. Click it to sign in.
VS Code
Install in VS Code a11y.new_tab
Or from a terminal:
code --add-mcp '{"name":"cloudflare-observability","type":"http","url":"https://observability.mcp.cloudflare.com/mcp"}'Or commit it to the repo in .vscode/mcp.json:
{
"servers": {
"cloudflare-observability": {
"type": "http",
"url": "https://observability.mcp.cloudflare.com/mcp"
}
}
}VS Code asks you to sign in the first time the server starts.
Devin Desktop
- Add it to
~/.config/devin/mcp_config.json(macOS and Linux) or%APPDATA%\devin\mcp_config.json(Windows):
{
"mcpServers": {
"cloudflare-observability": {
"serverUrl": "https://observability.mcp.cloudflare.com/mcp"
}
}
}- Refresh the MCP server list in Cascade and sign in when asked.
Devin Desktop is the new name for Windsurf. It reads serverUrl (or url) for remote servers.
Codex
codex mcp add cloudflare-observability --url https://observability.mcp.cloudflare.com/mcp
codex mcp login cloudflare-observabilityOr edit ~/.codex/config.toml directly:
[mcp_servers.cloudflare-observability]
url = "https://observability.mcp.cloudflare.com/mcp"Gemini CLI
gemini mcp add --transport http cloudflare-observability https://observability.mcp.cloudflare.com/mcpThen, inside Gemini CLI, run /mcp auth cloudflare-observability to sign in.
This adds it to the current project. Add -s user to use it everywhere.
Any client
Most clients accept this shape. Some name the URL field differently: serverUrl in Devin Desktop, httpUrl in Gemini CLI's settings file.
{
"mcpServers": {
"cloudflare-observability": {
"type": "http",
"url": "https://observability.mcp.cloudflare.com/mcp"
}
}
}Zed puts servers under context_servers in its settings. Cline needs "type": "streamableHttp", or it assumes SSE.
Client only starts local servers? Bridge it with npx -y mcp-remote https://observability.mcp.cloudflare.com/mcp.
listing.faq
Can I paste mcp.tc/i/cloudflare-observability into my MCP client?
No. mcp.tc links are pages, not server addresses. Connect with https://observability.mcp.cloudflare.com/mcp, so your client talks to Cloudflare Observability directly. The sign-in token only works there anyway. The quick link is for sharing: it opens this page, with setup steps for every client.
Does Cloudflare Observability need an API key or a sign-in?
Yes, you need a Cloudflare account. The first time your client connects, it opens Cloudflare's sign-in page. The token goes straight to the server's own URL, never through mcp.tc.
Is Cloudflare Observability a remote or a local server?
Remote. Cloudflare hosts it at https://observability.mcp.cloudflare.com/mcp, and it speaks Streamable HTTP. There's nothing to install.
What can Cloudflare Observability do?
You can query Workers logs and metrics, list events and find specific invocations and calculate metrics such as CPU time and request counts.
Which clients can use it?
Any client that supports remote MCP servers: Claude Code, Claude Desktop, claude.ai, ChatGPT in developer mode, Cursor, VS Code, Devin Desktop, Codex, Gemini CLI, Zed and others. The setup steps cover each one.
Who wrote this page?
mcp.tc's robot read Cloudflare Observability's own metadata (its MCP handshake, tool list and public pages), and an AI model drafted the text from it. A person reviews anything the checks can't confirm. The text can still be wrong, so if you spot a mistake, use Report this listing on this page.
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