pulsemcp Safe content atomic mcp-remote

Cloudflare Documentation

The Cloudflare Documentation MCP server connects AI assistants to Cloudflare's documentation through Vectorize, enabling semantic search and retrieval of relevant documentation content. Built as a Cloudflare Worker with Durable Objects, it implements the Model Context Protocol to provide AI systems with contextual information about Cloudflare products and services. The server uses a vectorized database of Cloudflare documentation for efficient retrieval and supports remote MCP connections, making it ideal for developers and users who need accurate, up-to-date information about Cloudflare's platform directly within their AI assistant workflows.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: database
Source: PulseMCP
Repository: github.com/cloudflare/mcp-server-cloudflare/tree/HEAD/apps/docs-vectorize
Author type: human
Updated: 2026-05-27

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MCP

Resolve Cloudflare Documentation from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"