mirror of
https://github.com/0xMassi/webclaw.git
synced 2026-06-10 22:45:13 +02:00
- webclaw-llm: add explicit request + connect timeouts to the reqwest client in every provider (anthropic, openai, ollama) with a shorter timeout on the ollama health check, so a stalled provider fails fast. - webclaw-llm: fix a panic when truncating a provider error body that contains multibyte characters near the 500-char cut (char-safe take). - webclaw-core: snap the endpoint-scan budget cut to a UTF-8 char boundary so oversized scripts with non-ASCII content no longer panic. - webclaw-core: rewrite js_literal_to_json to copy raw bytes instead of `byte as char`, preserving multibyte UTF-8 in SvelteKit string values rather than producing Latin-1 mojibake. - webclaw-cli: have fire_webhook return its JoinHandle and await it at the crawl/batch/batch-llm call sites, removing the fixed 500ms sleeps. - webclaw-mcp: drop the up-front DNS pre-validation loop in batch that aborted the whole request on one bad URL; the fetch layer already applies the same SSRF guard per URL and reports per-URL errors. - webclaw-fetch: include the port in the warmup homepage URL so hosts on a non-default port are warmed correctly. Adds regression tests for the UTF-8 endpoint-scan and SvelteKit cases.
890 lines
35 KiB
Rust
890 lines
35 KiB
Rust
/// MCP server implementation for webclaw.
|
|
/// Exposes web extraction capabilities as tools for AI agents.
|
|
///
|
|
/// Uses a local-first architecture: fetches pages directly, then falls back
|
|
/// to the webclaw cloud API (api.webclaw.io) when bot protection or
|
|
/// JS rendering is detected. Set WEBCLAW_API_KEY for automatic fallback.
|
|
use std::sync::{Arc, OnceLock};
|
|
use std::time::Duration;
|
|
|
|
use rmcp::handler::server::router::tool::ToolRouter;
|
|
use rmcp::handler::server::wrapper::Parameters;
|
|
use rmcp::model::{Implementation, ServerCapabilities, ServerInfo};
|
|
use rmcp::{ServerHandler, tool, tool_handler, tool_router};
|
|
use serde_json::json;
|
|
use tracing::{error, info, warn};
|
|
|
|
use webclaw_fetch::cloud::{self, CloudClient, SmartFetchResult};
|
|
|
|
use crate::tools::*;
|
|
|
|
pub struct WebclawMcp {
|
|
/// Holds the registered MCP tools. `rmcp >= 1.3` reads this through a
|
|
/// derived trait impl (not by name), so rustc's dead-code lint can't
|
|
/// see the usage and fires a spurious `field tool_router is never
|
|
/// read` on `cargo install`. The field is essential — dropping it
|
|
/// would unregister every tool. See issue #30.
|
|
#[allow(dead_code)]
|
|
tool_router: ToolRouter<Self>,
|
|
fetch_client: Arc<webclaw_fetch::FetchClient>,
|
|
/// Lazily-initialized Firefox client, reused across all tool calls that
|
|
/// request the Firefox profile with no cookies. Building a FetchClient
|
|
/// allocates a reqwest pool + TLS state, so tools that repeatedly hit
|
|
/// the same profile used to pay that cost per call.
|
|
///
|
|
/// We don't cache the default Chrome client (already lives at
|
|
/// `fetch_client`), we don't cache Random (by design rotates per call),
|
|
/// and we don't cache cookie-bearing clients (the cookie header is
|
|
/// part of the shape and varies per call). So a single OnceLock for
|
|
/// Firefox covers the one real cacheable case without a full LRU.
|
|
firefox_client: OnceLock<Arc<webclaw_fetch::FetchClient>>,
|
|
llm_chain: Option<webclaw_llm::ProviderChain>,
|
|
cloud: Option<CloudClient>,
|
|
}
|
|
|
|
/// Parse a browser string into a BrowserProfile.
|
|
fn parse_browser(browser: Option<&str>) -> webclaw_fetch::BrowserProfile {
|
|
match browser {
|
|
Some("firefox") => webclaw_fetch::BrowserProfile::Firefox,
|
|
Some("random") => webclaw_fetch::BrowserProfile::Random,
|
|
_ => webclaw_fetch::BrowserProfile::Chrome,
|
|
}
|
|
}
|
|
|
|
/// Validate that a URL is public HTTP(S), matching the fetch-layer SSRF guard.
|
|
async fn validate_url(url: &str) -> Result<(), String> {
|
|
webclaw_fetch::url_security::validate_public_http_url(url)
|
|
.await
|
|
.map(|_| ())
|
|
.map_err(|e| format!("Invalid URL: {e}"))
|
|
}
|
|
|
|
/// Timeout for local fetch calls (prevents hanging on tarpitting servers).
|
|
const LOCAL_FETCH_TIMEOUT: Duration = Duration::from_secs(30);
|
|
|
|
/// Maximum poll iterations for research jobs (~10 minutes at 3s intervals).
|
|
const RESEARCH_MAX_POLLS: u32 = 200;
|
|
|
|
#[tool_router]
|
|
impl WebclawMcp {
|
|
pub async fn new() -> Self {
|
|
let mut config = webclaw_fetch::FetchConfig::default();
|
|
|
|
// Load proxy config from env vars or local file
|
|
if let Ok(proxy) = std::env::var("WEBCLAW_PROXY") {
|
|
info!("using single proxy from WEBCLAW_PROXY");
|
|
config.proxy = Some(proxy);
|
|
}
|
|
|
|
let proxy_file = std::env::var("WEBCLAW_PROXY_FILE")
|
|
.ok()
|
|
.unwrap_or_else(|| "proxies.txt".to_string());
|
|
if std::path::Path::new(&proxy_file).exists()
|
|
&& let Ok(pool) = webclaw_fetch::parse_proxy_file(&proxy_file)
|
|
&& !pool.is_empty()
|
|
{
|
|
info!(count = pool.len(), file = %proxy_file, "loaded proxy pool");
|
|
config.proxy_pool = pool;
|
|
}
|
|
|
|
let fetch_client = match webclaw_fetch::FetchClient::new(config) {
|
|
Ok(client) => client,
|
|
Err(e) => {
|
|
error!("failed to build FetchClient: {e}");
|
|
std::process::exit(1);
|
|
}
|
|
};
|
|
|
|
let chain = webclaw_llm::ProviderChain::default().await;
|
|
let llm_chain = if chain.is_empty() {
|
|
warn!("no LLM providers available -- extract/summarize tools will fail");
|
|
None
|
|
} else {
|
|
info!(providers = chain.len(), "LLM provider chain ready");
|
|
Some(chain)
|
|
};
|
|
|
|
let cloud = CloudClient::from_env();
|
|
if cloud.is_some() {
|
|
info!("cloud API fallback enabled (WEBCLAW_API_KEY set)");
|
|
} else {
|
|
warn!(
|
|
"WEBCLAW_API_KEY not set -- bot-protected sites will return challenge pages. \
|
|
Get a key at https://webclaw.io"
|
|
);
|
|
}
|
|
|
|
Self {
|
|
tool_router: Self::tool_router(),
|
|
fetch_client: Arc::new(fetch_client),
|
|
firefox_client: OnceLock::new(),
|
|
llm_chain,
|
|
cloud,
|
|
}
|
|
}
|
|
|
|
/// Return the cached Firefox client, building it on first use. Any
|
|
/// subsequent call with the same profile (and no cookies) reuses the
|
|
/// pool instead of allocating a fresh reqwest + TLS stack.
|
|
fn firefox_or_build(&self) -> Result<Arc<webclaw_fetch::FetchClient>, String> {
|
|
if let Some(c) = self.firefox_client.get() {
|
|
return Ok(c.clone());
|
|
}
|
|
let config = webclaw_fetch::FetchConfig {
|
|
browser: webclaw_fetch::BrowserProfile::Firefox,
|
|
..Default::default()
|
|
};
|
|
let client = Arc::new(
|
|
webclaw_fetch::FetchClient::new(config)
|
|
.map_err(|e| format!("Failed to build firefox client: {e}"))?,
|
|
);
|
|
// If a concurrent call raced us here, OnceLock keeps the first
|
|
// winner and drops ours — that's fine, the ref-count just cleans up.
|
|
let _ = self.firefox_client.set(client.clone());
|
|
Ok(self.firefox_client.get().cloned().unwrap_or(client))
|
|
}
|
|
|
|
/// Helper: smart fetch with LLM format for extract/summarize tools.
|
|
async fn smart_fetch_llm(&self, url: &str) -> Result<SmartFetchResult, String> {
|
|
cloud::smart_fetch(
|
|
&self.fetch_client,
|
|
self.cloud.as_ref(),
|
|
url,
|
|
&[],
|
|
&[],
|
|
false,
|
|
&["llm", "markdown"],
|
|
)
|
|
.await
|
|
}
|
|
|
|
/// Scrape a single URL and extract its content as markdown, LLM-optimized text, plain text, or full JSON.
|
|
/// Automatically falls back to the webclaw cloud API when bot protection or JS rendering is detected.
|
|
#[tool]
|
|
async fn scrape(&self, Parameters(params): Parameters<ScrapeParams>) -> Result<String, String> {
|
|
validate_url(¶ms.url).await?;
|
|
let format = params.format.as_deref().unwrap_or("markdown");
|
|
let browser = parse_browser(params.browser.as_deref());
|
|
let include = params.include_selectors.unwrap_or_default();
|
|
let exclude = params.exclude_selectors.unwrap_or_default();
|
|
let main_only = params.only_main_content.unwrap_or(false);
|
|
|
|
// Build cookie header from params
|
|
let cookie_header = params
|
|
.cookies
|
|
.as_ref()
|
|
.filter(|c| !c.is_empty())
|
|
.map(|c| c.join("; "));
|
|
|
|
// Use a custom client if non-default browser or cookies are provided
|
|
// Pick the cheapest route to a FetchClient for this request:
|
|
// 1. Default Chrome + no cookies → reuse the long-lived self.fetch_client
|
|
// 2. Firefox + no cookies → reuse the lazily-cached self.firefox_client
|
|
// 3. Anything with cookies, or Random → build ad-hoc
|
|
let is_default_browser = matches!(browser, webclaw_fetch::BrowserProfile::Chrome);
|
|
let custom_client;
|
|
let cached_firefox;
|
|
let client: &webclaw_fetch::FetchClient = if cookie_header.is_none() && is_default_browser {
|
|
&self.fetch_client
|
|
} else if cookie_header.is_none()
|
|
&& matches!(browser, webclaw_fetch::BrowserProfile::Firefox)
|
|
{
|
|
cached_firefox = self.firefox_or_build()?;
|
|
// cached_firefox lives to end of function; auto-deref gives
|
|
// us &FetchClient here.
|
|
&cached_firefox
|
|
} else {
|
|
let mut headers = std::collections::HashMap::new();
|
|
headers.insert("Accept-Language".to_string(), "en-US,en;q=0.9".to_string());
|
|
if let Some(ref cookies) = cookie_header {
|
|
headers.insert("Cookie".to_string(), cookies.clone());
|
|
}
|
|
let config = webclaw_fetch::FetchConfig {
|
|
browser,
|
|
headers,
|
|
..Default::default()
|
|
};
|
|
custom_client = webclaw_fetch::FetchClient::new(config)
|
|
.map_err(|e| format!("Failed to build client: {e}"))?;
|
|
&custom_client
|
|
};
|
|
|
|
let formats = [format];
|
|
let result = cloud::smart_fetch(
|
|
client,
|
|
self.cloud.as_ref(),
|
|
¶ms.url,
|
|
&include,
|
|
&exclude,
|
|
main_only,
|
|
&formats,
|
|
)
|
|
.await?;
|
|
|
|
match result {
|
|
SmartFetchResult::Local(extraction) => {
|
|
let output = match format {
|
|
"llm" => webclaw_core::to_llm_text(&extraction, Some(¶ms.url)),
|
|
"text" => extraction.content.plain_text,
|
|
"json" => serde_json::to_string_pretty(&extraction).unwrap_or_default(),
|
|
_ => extraction.content.markdown,
|
|
};
|
|
Ok(output)
|
|
}
|
|
SmartFetchResult::Cloud(resp) => {
|
|
// Extract the requested format from the API response
|
|
let content = resp
|
|
.get(format)
|
|
.or_else(|| resp.get("markdown"))
|
|
.and_then(|v| v.as_str())
|
|
.unwrap_or("");
|
|
|
|
if content.is_empty() {
|
|
// Return full JSON if no content in the expected format
|
|
Ok(serde_json::to_string_pretty(&resp).unwrap_or_default())
|
|
} else {
|
|
Ok(content.to_string())
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
/// Crawl a website starting from a seed URL, following links breadth-first up to a configurable depth and page limit.
|
|
#[tool]
|
|
async fn crawl(&self, Parameters(params): Parameters<CrawlParams>) -> Result<String, String> {
|
|
validate_url(¶ms.url).await?;
|
|
|
|
if let Some(max) = params.max_pages
|
|
&& max > 500
|
|
{
|
|
return Err("max_pages cannot exceed 500".into());
|
|
}
|
|
|
|
let format = params.format.as_deref().unwrap_or("markdown");
|
|
|
|
let config = webclaw_fetch::CrawlConfig {
|
|
max_depth: params.depth.unwrap_or(2) as usize,
|
|
max_pages: params.max_pages.unwrap_or(50),
|
|
concurrency: params.concurrency.unwrap_or(5),
|
|
use_sitemap: params.use_sitemap.unwrap_or(false),
|
|
..Default::default()
|
|
};
|
|
|
|
let crawler = webclaw_fetch::Crawler::new(¶ms.url, config)
|
|
.map_err(|e| format!("Crawler init failed: {e}"))?;
|
|
|
|
let result = crawler.crawl(¶ms.url, None).await;
|
|
|
|
let mut output = format!(
|
|
"Crawled {} pages ({} ok, {} errors) in {:.1}s\n\n",
|
|
result.total, result.ok, result.errors, result.elapsed_secs
|
|
);
|
|
|
|
for page in &result.pages {
|
|
output.push_str(&format!("--- {} (depth {}) ---\n", page.url, page.depth));
|
|
if let Some(ref extraction) = page.extraction {
|
|
let content = match format {
|
|
"llm" => webclaw_core::to_llm_text(extraction, Some(&page.url)),
|
|
"text" => extraction.content.plain_text.clone(),
|
|
_ => extraction.content.markdown.clone(),
|
|
};
|
|
output.push_str(&content);
|
|
} else if let Some(ref err) = page.error {
|
|
output.push_str(&format!("Error: {err}"));
|
|
}
|
|
output.push_str("\n\n");
|
|
}
|
|
|
|
Ok(output)
|
|
}
|
|
|
|
/// Discover URLs from a website's sitemaps (robots.txt + sitemap.xml).
|
|
#[tool]
|
|
async fn map(&self, Parameters(params): Parameters<MapParams>) -> Result<String, String> {
|
|
validate_url(¶ms.url).await?;
|
|
let entries = webclaw_fetch::sitemap::discover(&self.fetch_client, ¶ms.url)
|
|
.await
|
|
.map_err(|e| format!("Sitemap discovery failed: {e}"))?;
|
|
|
|
let urls: Vec<&str> = entries.iter().map(|e| e.url.as_str()).collect();
|
|
Ok(format!(
|
|
"Discovered {} URLs:\n\n{}",
|
|
urls.len(),
|
|
urls.join("\n")
|
|
))
|
|
}
|
|
|
|
/// Extract content from multiple URLs concurrently.
|
|
#[tool]
|
|
async fn batch(&self, Parameters(params): Parameters<BatchParams>) -> Result<String, String> {
|
|
if params.urls.is_empty() {
|
|
return Err("urls must not be empty".into());
|
|
}
|
|
if params.urls.len() > 100 {
|
|
return Err("batch is limited to 100 URLs per request".into());
|
|
}
|
|
// No up-front DNS pre-validation: it aborted the whole batch on a
|
|
// single unresolvable URL. The fetch layer applies the same SSRF
|
|
// guard (validate_public_http_url) per URL, so bad entries surface
|
|
// as individual per-URL errors below instead of failing the batch.
|
|
|
|
let format = params.format.as_deref().unwrap_or("markdown");
|
|
let concurrency = params.concurrency.unwrap_or(5);
|
|
let url_refs: Vec<&str> = params.urls.iter().map(String::as_str).collect();
|
|
|
|
let results = self
|
|
.fetch_client
|
|
.fetch_and_extract_batch(&url_refs, concurrency)
|
|
.await;
|
|
|
|
let mut output = format!("Extracted {} URLs:\n\n", results.len());
|
|
|
|
for r in &results {
|
|
output.push_str(&format!("--- {} ---\n", r.url));
|
|
match &r.result {
|
|
Ok(extraction) => {
|
|
let content = match format {
|
|
"llm" => webclaw_core::to_llm_text(extraction, Some(&r.url)),
|
|
"text" => extraction.content.plain_text.clone(),
|
|
_ => extraction.content.markdown.clone(),
|
|
};
|
|
output.push_str(&content);
|
|
}
|
|
Err(e) => {
|
|
output.push_str(&format!("Error: {e}"));
|
|
}
|
|
}
|
|
output.push_str("\n\n");
|
|
}
|
|
|
|
Ok(output)
|
|
}
|
|
|
|
/// Extract structured data from a web page using an LLM. Provide either a JSON schema or a natural language prompt.
|
|
/// Falls back to the webclaw cloud API when no local LLM is available or bot protection is detected.
|
|
#[tool]
|
|
async fn extract(
|
|
&self,
|
|
Parameters(params): Parameters<ExtractParams>,
|
|
) -> Result<String, String> {
|
|
validate_url(¶ms.url).await?;
|
|
|
|
if params.schema.is_none() && params.prompt.is_none() {
|
|
return Err("Either 'schema' or 'prompt' is required for extraction.".into());
|
|
}
|
|
|
|
// No local LLM — fall back to cloud API directly
|
|
if self.llm_chain.is_none() {
|
|
let cloud = self.cloud.as_ref().ok_or(
|
|
"No LLM providers available. Set OPENAI_API_KEY, ANTHROPIC_API_KEY, or WEBCLAW_API_KEY for cloud fallback.",
|
|
)?;
|
|
let mut body = json!({"url": params.url});
|
|
if let Some(ref schema) = params.schema {
|
|
body["schema"] = json!(schema);
|
|
}
|
|
if let Some(ref prompt) = params.prompt {
|
|
body["prompt"] = json!(prompt);
|
|
}
|
|
let resp = cloud.post("extract", body).await?;
|
|
return Ok(serde_json::to_string_pretty(&resp).unwrap_or_default());
|
|
}
|
|
|
|
let chain = self.llm_chain.as_ref().unwrap();
|
|
|
|
let llm_content = match self.smart_fetch_llm(¶ms.url).await? {
|
|
SmartFetchResult::Local(extraction) => {
|
|
webclaw_core::to_llm_text(&extraction, Some(¶ms.url))
|
|
}
|
|
SmartFetchResult::Cloud(resp) => resp
|
|
.get("llm")
|
|
.or_else(|| resp.get("markdown"))
|
|
.and_then(|v| v.as_str())
|
|
.unwrap_or("")
|
|
.to_string(),
|
|
};
|
|
|
|
let data = if let Some(ref schema) = params.schema {
|
|
webclaw_llm::extract::extract_json(&llm_content, schema, chain, None)
|
|
.await
|
|
.map_err(|e| format!("LLM extraction failed: {e}"))?
|
|
} else {
|
|
let prompt = params.prompt.as_deref().unwrap();
|
|
webclaw_llm::extract::extract_with_prompt(&llm_content, prompt, chain, None)
|
|
.await
|
|
.map_err(|e| format!("LLM extraction failed: {e}"))?
|
|
};
|
|
|
|
Ok(serde_json::to_string_pretty(&data).unwrap_or_default())
|
|
}
|
|
|
|
/// Summarize the content of a web page using an LLM.
|
|
/// Falls back to the webclaw cloud API when no local LLM is available or bot protection is detected.
|
|
#[tool]
|
|
async fn summarize(
|
|
&self,
|
|
Parameters(params): Parameters<SummarizeParams>,
|
|
) -> Result<String, String> {
|
|
validate_url(¶ms.url).await?;
|
|
|
|
// No local LLM — fall back to cloud API directly
|
|
if self.llm_chain.is_none() {
|
|
let cloud = self.cloud.as_ref().ok_or(
|
|
"No LLM providers available. Set OPENAI_API_KEY, ANTHROPIC_API_KEY, or WEBCLAW_API_KEY for cloud fallback.",
|
|
)?;
|
|
let mut body = json!({"url": params.url});
|
|
if let Some(sentences) = params.max_sentences {
|
|
body["max_sentences"] = json!(sentences);
|
|
}
|
|
let resp = cloud.post("summarize", body).await?;
|
|
let summary = resp.get("summary").and_then(|v| v.as_str()).unwrap_or("");
|
|
if summary.is_empty() {
|
|
return Ok(serde_json::to_string_pretty(&resp).unwrap_or_default());
|
|
}
|
|
return Ok(summary.to_string());
|
|
}
|
|
|
|
let chain = self.llm_chain.as_ref().unwrap();
|
|
|
|
let llm_content = match self.smart_fetch_llm(¶ms.url).await? {
|
|
SmartFetchResult::Local(extraction) => {
|
|
webclaw_core::to_llm_text(&extraction, Some(¶ms.url))
|
|
}
|
|
SmartFetchResult::Cloud(resp) => resp
|
|
.get("llm")
|
|
.or_else(|| resp.get("markdown"))
|
|
.and_then(|v| v.as_str())
|
|
.unwrap_or("")
|
|
.to_string(),
|
|
};
|
|
|
|
webclaw_llm::summarize::summarize(&llm_content, params.max_sentences, chain, None)
|
|
.await
|
|
.map_err(|e| format!("Summarization failed: {e}"))
|
|
}
|
|
|
|
/// Compare the current content of a URL against a previous extraction snapshot, showing what changed.
|
|
/// Automatically falls back to the webclaw cloud API when bot protection is detected.
|
|
#[tool]
|
|
async fn diff(&self, Parameters(params): Parameters<DiffParams>) -> Result<String, String> {
|
|
validate_url(¶ms.url).await?;
|
|
let previous: webclaw_core::ExtractionResult =
|
|
serde_json::from_str(¶ms.previous_snapshot)
|
|
.map_err(|e| format!("Failed to parse previous_snapshot JSON: {e}"))?;
|
|
|
|
let result = cloud::smart_fetch(
|
|
&self.fetch_client,
|
|
self.cloud.as_ref(),
|
|
¶ms.url,
|
|
&[],
|
|
&[],
|
|
false,
|
|
&["markdown"],
|
|
)
|
|
.await?;
|
|
|
|
match result {
|
|
SmartFetchResult::Local(current) => {
|
|
let content_diff = webclaw_core::diff::diff(&previous, ¤t);
|
|
Ok(serde_json::to_string_pretty(&content_diff).unwrap_or_default())
|
|
}
|
|
SmartFetchResult::Cloud(resp) => {
|
|
// Extract markdown from the cloud response and build a minimal
|
|
// ExtractionResult so we can compute the diff locally.
|
|
let markdown = resp.get("markdown").and_then(|v| v.as_str()).unwrap_or("");
|
|
|
|
if markdown.is_empty() {
|
|
return Err(
|
|
"Cloud API fallback returned no markdown content; cannot compute diff."
|
|
.into(),
|
|
);
|
|
}
|
|
|
|
let current = webclaw_core::ExtractionResult {
|
|
content: webclaw_core::Content {
|
|
markdown: markdown.to_string(),
|
|
plain_text: markdown.to_string(),
|
|
links: Vec::new(),
|
|
images: Vec::new(),
|
|
code_blocks: Vec::new(),
|
|
raw_html: None,
|
|
},
|
|
metadata: webclaw_core::Metadata {
|
|
title: None,
|
|
description: None,
|
|
author: None,
|
|
published_date: None,
|
|
language: None,
|
|
url: Some(params.url.clone()),
|
|
site_name: None,
|
|
image: None,
|
|
favicon: None,
|
|
word_count: markdown.split_whitespace().count(),
|
|
},
|
|
domain_data: None,
|
|
structured_data: Vec::new(),
|
|
};
|
|
|
|
let content_diff = webclaw_core::diff::diff(&previous, ¤t);
|
|
Ok(serde_json::to_string_pretty(&content_diff).unwrap_or_default())
|
|
}
|
|
}
|
|
}
|
|
|
|
/// Extract brand identity (colors, fonts, logo, favicon) from a website's HTML and CSS.
|
|
/// Automatically falls back to the webclaw cloud API when bot protection is detected.
|
|
#[tool]
|
|
async fn brand(&self, Parameters(params): Parameters<BrandParams>) -> Result<String, String> {
|
|
validate_url(¶ms.url).await?;
|
|
let fetch_result =
|
|
tokio::time::timeout(LOCAL_FETCH_TIMEOUT, self.fetch_client.fetch(¶ms.url))
|
|
.await
|
|
.map_err(|_| format!("Fetch timed out after 30s for {}", params.url))?
|
|
.map_err(|e| format!("Fetch failed: {e}"))?;
|
|
|
|
// Check for bot protection before extracting brand
|
|
if cloud::is_bot_protected(&fetch_result.html, &fetch_result.headers) {
|
|
if let Some(ref c) = self.cloud {
|
|
let resp = c
|
|
.post("brand", serde_json::json!({"url": params.url}))
|
|
.await?;
|
|
return Ok(serde_json::to_string_pretty(&resp).unwrap_or_default());
|
|
} else {
|
|
return Err(format!(
|
|
"Bot protection detected on {}. Set WEBCLAW_API_KEY for automatic cloud bypass. \
|
|
Get a key at https://webclaw.io",
|
|
params.url
|
|
));
|
|
}
|
|
}
|
|
|
|
let identity =
|
|
webclaw_core::brand::extract_brand(&fetch_result.html, Some(&fetch_result.url));
|
|
|
|
Ok(serde_json::to_string_pretty(&identity).unwrap_or_default())
|
|
}
|
|
|
|
/// Run a deep research investigation on a topic or question. Requires WEBCLAW_API_KEY.
|
|
/// Saves full result to ~/.webclaw/research/ and returns the file path + key findings.
|
|
/// Checks cache first — same query returns the cached result without spending credits.
|
|
#[tool]
|
|
async fn research(
|
|
&self,
|
|
Parameters(params): Parameters<ResearchParams>,
|
|
) -> Result<String, String> {
|
|
let cloud = self
|
|
.cloud
|
|
.as_ref()
|
|
.ok_or("Research requires WEBCLAW_API_KEY. Get a key at https://webclaw.io")?;
|
|
|
|
let research_dir = research_dir();
|
|
let slug = slugify(¶ms.query);
|
|
|
|
// Check cache first
|
|
if let Some(cached) = load_cached_research(&research_dir, &slug) {
|
|
info!(query = %params.query, "returning cached research");
|
|
return Ok(cached);
|
|
}
|
|
|
|
let mut body = json!({ "query": params.query });
|
|
if let Some(deep) = params.deep {
|
|
body["deep"] = json!(deep);
|
|
}
|
|
if let Some(ref topic) = params.topic {
|
|
body["topic"] = json!(topic);
|
|
}
|
|
|
|
// Start the research job
|
|
let start_resp = cloud.post("research", body).await?;
|
|
let job_id = start_resp
|
|
.get("id")
|
|
.and_then(|v| v.as_str())
|
|
.ok_or("Research API did not return a job ID")?
|
|
.to_string();
|
|
|
|
info!(job_id = %job_id, "research job started, polling for completion");
|
|
|
|
// Poll until completed or failed
|
|
for poll in 0..RESEARCH_MAX_POLLS {
|
|
tokio::time::sleep(Duration::from_secs(3)).await;
|
|
|
|
let status_resp = cloud.get(&format!("research/{job_id}")).await?;
|
|
let status = status_resp
|
|
.get("status")
|
|
.and_then(|v| v.as_str())
|
|
.unwrap_or("unknown");
|
|
|
|
match status {
|
|
"completed" => {
|
|
// Save full result to file
|
|
let (report_path, json_path) =
|
|
save_research(&research_dir, &slug, &status_resp);
|
|
|
|
// Build compact response: file paths + findings (no full report)
|
|
let sources_count = status_resp
|
|
.get("sources_count")
|
|
.and_then(|v| v.as_i64())
|
|
.unwrap_or(0);
|
|
let findings_count = status_resp
|
|
.get("findings_count")
|
|
.and_then(|v| v.as_i64())
|
|
.unwrap_or(0);
|
|
|
|
let mut response = json!({
|
|
"status": "completed",
|
|
"query": params.query,
|
|
"report_file": report_path,
|
|
"json_file": json_path,
|
|
"sources_count": sources_count,
|
|
"findings_count": findings_count,
|
|
});
|
|
|
|
if let Some(findings) = status_resp.get("findings") {
|
|
response["findings"] = findings.clone();
|
|
}
|
|
if let Some(sources) = status_resp.get("sources") {
|
|
response["sources"] = sources.clone();
|
|
}
|
|
|
|
return Ok(serde_json::to_string_pretty(&response).unwrap_or_default());
|
|
}
|
|
"failed" => {
|
|
let error = status_resp
|
|
.get("error")
|
|
.and_then(|v| v.as_str())
|
|
.unwrap_or("unknown error");
|
|
return Err(format!("Research job failed: {error}"));
|
|
}
|
|
_ => {
|
|
if poll % 20 == 19 {
|
|
info!(job_id = %job_id, poll, "research still in progress...");
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
Err(format!(
|
|
"Research job {job_id} timed out after ~10 minutes of polling. \
|
|
Check status manually via the webclaw API: GET /v1/research/{job_id}"
|
|
))
|
|
}
|
|
|
|
/// Search the web for a query and return structured results. Requires WEBCLAW_API_KEY.
|
|
#[tool]
|
|
async fn search(&self, Parameters(params): Parameters<SearchParams>) -> Result<String, String> {
|
|
let cloud = self
|
|
.cloud
|
|
.as_ref()
|
|
.ok_or("Search requires WEBCLAW_API_KEY. Get a key at https://webclaw.io")?;
|
|
|
|
let mut body = json!({ "query": params.query });
|
|
if let Some(num) = params.num_results {
|
|
body["num_results"] = json!(num);
|
|
}
|
|
|
|
let resp = cloud.post("search", body).await?;
|
|
|
|
// Format results for readability
|
|
if let Some(results) = resp.get("results").and_then(|v| v.as_array()) {
|
|
let mut output = format!("Found {} results:\n\n", results.len());
|
|
for (i, result) in results.iter().enumerate() {
|
|
let title = result.get("title").and_then(|v| v.as_str()).unwrap_or("");
|
|
let url = result.get("url").and_then(|v| v.as_str()).unwrap_or("");
|
|
let snippet = result
|
|
.get("snippet")
|
|
.or_else(|| result.get("description"))
|
|
.and_then(|v| v.as_str())
|
|
.unwrap_or("");
|
|
|
|
output.push_str(&format!(
|
|
"{}. {}\n {}\n {}\n\n",
|
|
i + 1,
|
|
title,
|
|
url,
|
|
snippet
|
|
));
|
|
}
|
|
Ok(output)
|
|
} else {
|
|
// Fallback: return raw JSON if unexpected shape
|
|
Ok(serde_json::to_string_pretty(&resp).unwrap_or_default())
|
|
}
|
|
}
|
|
|
|
/// List every vertical extractor the server knows about. Returns a
|
|
/// JSON array of `{name, label, description, url_patterns}` entries.
|
|
/// Call this to discover what verticals are available before using
|
|
/// `vertical_scrape`.
|
|
#[tool]
|
|
async fn list_extractors(
|
|
&self,
|
|
Parameters(_params): Parameters<ListExtractorsParams>,
|
|
) -> Result<String, String> {
|
|
let catalog = webclaw_fetch::extractors::list();
|
|
serde_json::to_string_pretty(&catalog)
|
|
.map_err(|e| format!("failed to serialise extractor catalog: {e}"))
|
|
}
|
|
|
|
/// Run a vertical extractor by name and return typed JSON specific
|
|
/// to the target site (title, price, rating, author, etc.), not
|
|
/// generic markdown. Use `list_extractors` to discover available
|
|
/// names. Example names: `reddit`, `github_repo`, `trustpilot_reviews`,
|
|
/// `youtube_video`, `shopify_product`, `pypi`, `npm`, `arxiv`.
|
|
///
|
|
/// Antibot-gated verticals (amazon_product, ebay_listing,
|
|
/// etsy_listing, trustpilot_reviews) will automatically escalate to
|
|
/// the webclaw cloud API when local fetch hits bot protection,
|
|
/// provided `WEBCLAW_API_KEY` is set.
|
|
#[tool]
|
|
async fn vertical_scrape(
|
|
&self,
|
|
Parameters(params): Parameters<VerticalParams>,
|
|
) -> Result<String, String> {
|
|
validate_url(¶ms.url).await?;
|
|
// Use the cached Firefox client, not the default Chrome one.
|
|
// Reddit's `.json` endpoint rejects the wreq-Chrome TLS
|
|
// fingerprint with a 403 even from residential IPs (they
|
|
// ship a fingerprint blocklist that includes common
|
|
// browser-emulation libraries). The wreq-Firefox fingerprint
|
|
// still passes, and Firefox is equally fine for every other
|
|
// vertical in the catalog, so it's a strictly-safer default
|
|
// for `vertical_scrape` than the generic `scrape` tool's
|
|
// Chrome default. Matches the CLI `webclaw vertical`
|
|
// subcommand which already uses Firefox.
|
|
let client = self.firefox_or_build()?;
|
|
let data =
|
|
webclaw_fetch::extractors::dispatch_by_name(client.as_ref(), ¶ms.name, ¶ms.url)
|
|
.await
|
|
.map_err(|e| e.to_string())?;
|
|
serde_json::to_string_pretty(&data)
|
|
.map_err(|e| format!("failed to serialise extractor output: {e}"))
|
|
}
|
|
}
|
|
|
|
#[tool_handler]
|
|
impl ServerHandler for WebclawMcp {
|
|
fn get_info(&self) -> ServerInfo {
|
|
ServerInfo::new(ServerCapabilities::builder().enable_tools().build())
|
|
.with_server_info(Implementation::new("webclaw-mcp", env!("CARGO_PKG_VERSION")))
|
|
.with_instructions(String::from(
|
|
"Webclaw MCP server -- web content extraction for AI agents. \
|
|
Tools: scrape, crawl, map, batch, extract, summarize, diff, brand, research, search, \
|
|
list_extractors, vertical_scrape.",
|
|
))
|
|
}
|
|
}
|
|
|
|
// ---------------------------------------------------------------------------
|
|
// Research file helpers
|
|
// ---------------------------------------------------------------------------
|
|
|
|
fn research_dir() -> std::path::PathBuf {
|
|
let dir = dirs::home_dir()
|
|
.unwrap_or_else(|| std::path::PathBuf::from("."))
|
|
.join(".webclaw")
|
|
.join("research");
|
|
std::fs::create_dir_all(&dir).ok();
|
|
dir
|
|
}
|
|
|
|
fn slugify(query: &str) -> String {
|
|
let s: String = query
|
|
.chars()
|
|
.map(|c| {
|
|
if c.is_alphanumeric() || c == ' ' {
|
|
c
|
|
} else {
|
|
' '
|
|
}
|
|
})
|
|
.collect::<String>()
|
|
.split_whitespace()
|
|
.collect::<Vec<_>>()
|
|
.join("-")
|
|
.to_lowercase();
|
|
// char-safe truncation: byte slicing panics if char 60 lands
|
|
// mid-codepoint (multibyte queries, e.g. CJK / accented input).
|
|
s.chars().take(60).collect()
|
|
}
|
|
|
|
/// Check for a cached research result. Returns the compact response if found.
|
|
fn load_cached_research(dir: &std::path::Path, slug: &str) -> Option<String> {
|
|
let json_path = dir.join(format!("{slug}.json"));
|
|
let report_path = dir.join(format!("{slug}.md"));
|
|
|
|
if !json_path.exists() || !report_path.exists() {
|
|
return None;
|
|
}
|
|
|
|
let json_str = std::fs::read_to_string(&json_path).ok()?;
|
|
let data: serde_json::Value = serde_json::from_str(&json_str).ok()?;
|
|
|
|
// Build compact response from cache
|
|
let mut response = json!({
|
|
"status": "completed",
|
|
"cached": true,
|
|
"query": data.get("query").cloned().unwrap_or(json!("")),
|
|
"report_file": report_path.to_string_lossy(),
|
|
"json_file": json_path.to_string_lossy(),
|
|
"sources_count": data.get("sources_count").cloned().unwrap_or(json!(0)),
|
|
"findings_count": data.get("findings_count").cloned().unwrap_or(json!(0)),
|
|
});
|
|
|
|
if let Some(findings) = data.get("findings") {
|
|
response["findings"] = findings.clone();
|
|
}
|
|
if let Some(sources) = data.get("sources") {
|
|
response["sources"] = sources.clone();
|
|
}
|
|
|
|
Some(serde_json::to_string_pretty(&response).unwrap_or_default())
|
|
}
|
|
|
|
/// Save research result to disk. Returns (report_path, json_path) as strings.
|
|
fn save_research(dir: &std::path::Path, slug: &str, data: &serde_json::Value) -> (String, String) {
|
|
let json_path = dir.join(format!("{slug}.json"));
|
|
let report_path = dir.join(format!("{slug}.md"));
|
|
|
|
// Save full JSON
|
|
if let Ok(json_str) = serde_json::to_string_pretty(data) {
|
|
std::fs::write(&json_path, json_str).ok();
|
|
}
|
|
|
|
// Save report as markdown
|
|
if let Some(report) = data.get("report").and_then(|v| v.as_str()) {
|
|
std::fs::write(&report_path, report).ok();
|
|
}
|
|
|
|
(
|
|
report_path.to_string_lossy().to_string(),
|
|
json_path.to_string_lossy().to_string(),
|
|
)
|
|
}
|
|
|
|
#[cfg(test)]
|
|
mod tests {
|
|
use super::slugify;
|
|
|
|
#[test]
|
|
fn slugify_multibyte_query_does_not_panic() {
|
|
// Byte-slicing s[..60] would panic mid-codepoint on multibyte
|
|
// alphanumerics; char-safe truncation must not.
|
|
let q = "日本語のクエリ".repeat(20); // long, 3-byte chars
|
|
let s = slugify(&q);
|
|
assert!(
|
|
s.chars().count() <= 60,
|
|
"slug too long: {}",
|
|
s.chars().count()
|
|
);
|
|
}
|
|
|
|
#[test]
|
|
fn slugify_ascii_unchanged_under_limit() {
|
|
assert_eq!(slugify("Hello World Query"), "hello-world-query");
|
|
}
|
|
|
|
#[test]
|
|
fn slugify_caps_long_ascii_at_60_chars() {
|
|
let s = slugify(&"word ".repeat(40));
|
|
assert!(s.len() <= 60);
|
|
}
|
|
}
|