mcp-cloudflare-crawl
Enables LLMs to crawl websites via Cloudflare's Browser Rendering API, providing tools to start, monitor, cancel crawls, and retrieve structured content with AI extraction.
README
mcp-cloudflare-crawl
An MCP server that exposes Cloudflare's Browser Rendering Crawl API as tools for LLM clients.
Requirements
- uv
- A Cloudflare account with Browser Rendering enabled
- A Cloudflare API token with Browser Rendering - Edit permission
Setup
cp .env.example .env
# Edit .env and fill in your credentials
.env:
CLOUDFLARE_API_TOKEN=your_api_token_here
CLOUDFLARE_ACCOUNT_ID=your_account_id_here
Running
stdio (default — for Claude Desktop and most MCP clients)
uv run mcp-cloudflare-crawl
Streamable HTTP
uv run mcp-cloudflare-crawl --transport streamable-http
# Listens on http://127.0.0.1:8000/mcp by default
uv run mcp-cloudflare-crawl --transport streamable-http --host 0.0.0.0 --port 9000
Claude Code Integration
claude mcp add \
--env CLOUDFLARE_API_TOKEN=your_api_token_here \
--env CLOUDFLARE_ACCOUNT_ID=your_account_id_here \
cloudflare-crawl \
-- uv run --directory /absolute/path/to/mcp-cloudflare-crawl mcp-cloudflare-crawl
Add --scope user to make it available across all projects:
claude mcp add --scope user \
--env CLOUDFLARE_API_TOKEN=your_api_token_here \
--env CLOUDFLARE_ACCOUNT_ID=your_account_id_here \
cloudflare-crawl \
-- uv run --directory /absolute/path/to/mcp-cloudflare-crawl mcp-cloudflare-crawl
Claude Desktop Integration
Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"cloudflare-crawl": {
"command": "uv",
"args": [
"run",
"--directory",
"/absolute/path/to/mcp-cloudflare-crawl",
"mcp-cloudflare-crawl"
],
"env": {
"CLOUDFLARE_API_TOKEN": "your_api_token_here",
"CLOUDFLARE_ACCOUNT_ID": "your_account_id_here"
}
}
}
}
Testing with curl
The server uses SSE (Server-Sent Events) format. Responses look like:
event: message
data: {"jsonrpc":"2.0","id":1,"result":{...}}
To parse with jq, extract the data: line first:
curl -s -X POST http://127.0.0.1:8000/mcp \
-H "Content-Type: application/json" \
-H "Accept: application/json, text/event-stream" \
-H "mcp-session-id: $SESSION_ID" \
-d '{...}' \
| grep '^data:' | sed 's/^data: //' | jq .
Step 1 — Initialize session and capture session ID
SESSION_ID=$(curl -s -D - -X POST http://127.0.0.1:8000/mcp \
-H "Content-Type: application/json" \
-H "Accept: application/json, text/event-stream" \
-d '{
"jsonrpc": "2.0", "id": 1, "method": "initialize",
"params": {
"protocolVersion": "2024-11-05",
"capabilities": {},
"clientInfo": {"name": "curl-test", "version": "1.0"}
}
}' | grep -i '^mcp-session-id:' | awk '{print $2}' | tr -d '\r')
echo "Session ID: $SESSION_ID"
Step 2 — List available tools
curl -s -X POST http://127.0.0.1:8000/mcp \
-H "Content-Type: application/json" \
-H "Accept: application/json, text/event-stream" \
-H "mcp-session-id: $SESSION_ID" \
-d '{"jsonrpc":"2.0","id":2,"method":"tools/list","params":{}}' \
| grep '^data:' | sed 's/^data: //' | jq .
Step 3 — Start a crawl (all optional parameters)
curl -s -X POST http://127.0.0.1:8000/mcp \
-H "Content-Type: application/json" \
-H "Accept: application/json, text/event-stream" \
-H "mcp-session-id: $SESSION_ID" \
-d '{
"jsonrpc": "2.0", "id": 3, "method": "tools/call",
"params": {
"name": "crawl_start",
"arguments": {
"url": "https://www.exampledocs.com/docs/",
"crawl_purposes": ["search"],
"limit": 50,
"depth": 2,
"formats": ["markdown"],
"render": true,
"max_age": 7200,
"source": "all",
"include_external_links": true,
"include_subdomains": true,
"include_patterns": ["**/api/v1/*"],
"exclude_patterns": ["*/learning-paths/*"],
"reject_resource_types": ["image", "media", "font"],
"goto_options": {"waitUntil": "networkidle2", "timeout": 30000},
"wait_for_selector": {"selector": "#content", "timeout": 5000}
}
}
}' | grep '^data:' | sed 's/^data: //' | jq .
Step 4 — Poll status
curl -s -X POST http://127.0.0.1:8000/mcp \
-H "Content-Type: application/json" \
-H "Accept: application/json, text/event-stream" \
-H "mcp-session-id: $SESSION_ID" \
-d '{
"jsonrpc": "2.0", "id": 4, "method": "tools/call",
"params": {
"name": "crawl_status",
"arguments": {"job_id": "YOUR_JOB_ID"}
}
}' | grep '^data:' | sed 's/^data: //' | jq .
Step 5 — Crawl with AI structured extraction
Requires "json" in formats. Uses Cloudflare Workers AI and incurs additional charges.
curl -s -X POST http://127.0.0.1:8000/mcp \
-H "Content-Type: application/json" \
-H "Accept: application/json, text/event-stream" \
-H "mcp-session-id: $SESSION_ID" \
-d '{
"jsonrpc": "2.0", "id": 5, "method": "tools/call",
"params": {
"name": "crawl_and_wait",
"arguments": {
"url": "https://example.com/",
"formats": ["json"],
"limit": 5,
"json_options": {
"prompt": "Extract product names and prices",
"response_format": {"type": "object"}
},
"timeout": 120.0
}
}
}' | grep '^data:' | sed 's/^data: //' | jq .
Step 6 — Crawl a password-protected site
curl -s -X POST http://127.0.0.1:8000/mcp \
-H "Content-Type: application/json" \
-H "Accept: application/json, text/event-stream" \
-H "mcp-session-id: $SESSION_ID" \
-d '{
"jsonrpc": "2.0", "id": 6, "method": "tools/call",
"params": {
"name": "crawl_start",
"arguments": {
"url": "https://internal.example.com/docs/",
"authenticate": {"username": "user", "password": "pass"},
"extra_http_headers": {"X-API-Key": "abc123"},
"cookies": [{"name": "session", "value": "xyz", "domain": "internal.example.com"}],
"formats": ["markdown"]
}
}
}' | grep '^data:' | sed 's/^data: //' | jq .
Step 7 — List all stored jobs
curl -s -X POST http://127.0.0.1:8000/mcp \
-H "Content-Type: application/json" \
-H "Accept: application/json, text/event-stream" \
-H "mcp-session-id: $SESSION_ID" \
-d '{
"jsonrpc": "2.0", "id": 7, "method": "tools/call",
"params": {
"name": "crawl_list",
"arguments": {}
}
}' | grep '^data:' | sed 's/^data: //' | jq .
Tools
crawl_start
Submit a crawl job. Returns a job_id immediately — crawling happens asynchronously.
The job is automatically saved to the local SQLite database.
| Parameter | Type | Description |
|---|---|---|
url |
string | Required. Starting URL to crawl |
limit |
int | Max pages to crawl (default: 10, max: 100,000) |
depth |
int | Max link depth (default: 100,000) |
source |
string | URL discovery: "all", "sitemaps", or "links" |
formats |
list[string] | Output formats: "html", "markdown", "json" |
render |
bool | Execute JavaScript via headless browser (default: true) |
max_age |
int | Cache duration in seconds (default: 86400, max: 604800) |
modified_since |
int | Unix timestamp — only crawl pages modified since then |
crawl_purposes |
list[string] | Declare use: "search", "ai-input", "ai-train" |
include_patterns |
list[string] | URL patterns to include (* = no slash, ** = any) |
exclude_patterns |
list[string] | URL patterns to exclude (higher priority than include) |
include_external_links |
bool | Follow links to external domains |
include_subdomains |
bool | Follow links to subdomains |
authenticate |
dict | HTTP auth credentials: {"username": "...", "password": "..."} |
extra_http_headers |
dict | Custom request headers: {"X-API-Key": "..."} |
json_options |
dict | AI extraction config (requires "json" in formats). Keys: "prompt", "response_format", "custom_ai" |
cookies |
list[dict] | Browser cookies: [{"name": "...", "value": "...", "domain": "..."}] |
goto_options |
dict | Navigation behaviour: {"waitUntil": "networkidle2", "timeout": 30000} |
wait_for_selector |
dict | Wait for DOM element: {"selector": "#content", "timeout": 5000, "visible": true} |
reject_resource_types |
list[string] | Block resource types: "image", "media", "font", "stylesheet", "script" |
Response:
{ "job_id": "c7f8s2d9-a8e7-4b6e-8e4d-3d4a1b2c3f4e" }
crawl_status
Poll the status and results of a crawl job. Also updates the job's status in the local database.
| Parameter | Type | Description |
|---|---|---|
job_id |
string | Required. Job ID from crawl_start |
cursor |
int | Pagination token for large result sets (>10 MB) |
limit |
int | Records per page |
status_filter |
string | Filter by record status: queued, completed, disallowed, skipped, errored, cancelled |
Response:
{
"id": "c7f8s2d9-...",
"status": "completed",
"total": 20,
"finished": 20,
"browser_seconds_used": 134.7,
"cursor": null,
"records": [
{
"url": "https://example.com/",
"status": "completed",
"markdown": "# Example Domain\n...",
"metadata": { "status": 200, "title": "Example Domain", "url": "https://example.com/" }
}
]
}
Job statuses: running · completed · errored · cancelled_due_to_timeout · cancelled_due_to_limits · cancelled_by_user
Record statuses: queued · completed · errored · disallowed · skipped · cancelled
crawl_cancel
Cancel a running crawl job.
| Parameter | Type | Description |
|---|---|---|
job_id |
string | Required. Job ID from crawl_start |
crawl_and_wait
Start a crawl and block until it completes, returning the final results. Combines crawl_start and crawl_status polling in one call. The job is saved and status is updated in the local database throughout.
Accepts all parameters from crawl_start, plus:
| Parameter | Type | Description |
|---|---|---|
poll_interval |
float | Seconds between status polls (default: 5.0) |
timeout |
float | Max seconds to wait (default: 300.0) |
Use this for small crawls (a few pages). For large crawls, use crawl_start + crawl_status separately to avoid timeouts.
crawl_list
List all crawl jobs stored in the local SQLite database. Jobs are recorded automatically on crawl_start and crawl_and_wait, and their status is updated on every crawl_status or crawl_cancel call.
| Parameter | Type | Description |
|---|---|---|
status_filter |
string | Filter by job status (see below) |
limit |
int | Max jobs to return (default: 50) |
offset |
int | Jobs to skip for pagination (default: 0) |
Job statuses: submitted · running · completed · errored · cancelled_due_to_timeout · cancelled_due_to_limits · cancelled_by_user
Response:
{
"jobs": [
{
"job_id": "c7f8s2d9-...",
"url": "https://example.com/",
"status": "completed",
"created_at": "2026-03-25T00:00:00+00:00",
"updated_at": "2026-03-25T00:01:00+00:00"
}
],
"count": 1
}
Job Database
Jobs are persisted in a local SQLite database across server restarts.
Default location: ~/.local/share/mcp-cloudflare-crawl/jobs.db
Override with environment variable:
MCP_DB_PATH=/path/to/custom/jobs.db
Development
# Install dependencies
uv sync
# Run tests
uv run pytest
# Run tests with verbose output
uv run pytest -v
Notes
- The Cloudflare Crawl API is asynchronous —
crawl_startreturns immediately, results are retrieved viacrawl_status. - The crawler respects
robots.txtby default. Disallowed URLs appear with"status": "disallowed". - The
jsonformat uses Workers AI for structured extraction and incurs additional charges. - Setting
render: falseskips the headless browser and fetches static HTML — faster and currently unbilled during beta. - Results are retained for 14 days after a job completes. Maximum job runtime is 7 days.
- The crawler identifies itself as
CloudflareBrowserRenderingCrawler/1.0and cannot bypass Cloudflare protection or CAPTCHAs. - HTTP 429 (rate limit) responses are automatically retried with exponential backoff (up to 3 retries: 1s → 2s → 4s). The
Retry-Afterresponse header is respected when present.
License
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