# Cloudflare Docs Search

> Use this tool when you need to find relevant information within Cloudflare's extensive developer documentation. It solves problems of information overload and difficulty in discovering related products by providing semantic search with scored results and context retrieval. The tool takes in search queries as input and returns relevant documentation chunks, related products, and glossary definitions as output.

Canonical page: https://skillsregistry.net/skills/ajwcontreras-cloudflare-docs  
JSON: https://api.skillsregistry.net/v1/skills/ajwcontreras-cloudflare-docs

## Description

Cloudflare Docs Search provides semantic search over Cloudflare's developer documentation through tools for vector search with scored results, LLM-formatted context retrieval, related product discovery, and glossary lookup. Indexes 28,182 documentation chunks across 99 Cloudflare products using OpenAI embeddings with HyDE enrichment and synonym expansion. Hosted on Cloudflare Workers with no API key required.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-06-29

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ajwcontreras-cloudflare-docs)
- **Repository:** <https://github.com/ajwcontreras/cf-docs-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

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

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ajwcontreras-cloudflare-docs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ajwcontreras-cloudflare-docs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ajwcontreras-cloudflare-docs/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt