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[Bug]: MCP scrape tools lack wait_until / SPA support that REST API and CLI provide

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#1,963 2 comentarios 0 reacciones 0 asignados Ver en GitHub

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Evaluación

Dificultad
4/5
Tiempo estimado
3-5 días
Aptitud para principiantes
52/100
Tipo de issue
Error
Claridad
Bastante claro
Estado de actividad
Tranquilo
Stack tecnológico
python
Área
api, documentation

Línea de trabajo

Start at the MCP scrape tool schemas and compare their exposed arguments with the existing crawler_config options used by POST /crawl and crwl -c. Verify the MCP tools on a JavaScript-heavy page, then confirm they accept wait_until and delay_before_return_html and that the documentation explains default wait behavior across MCP, REST, and CLI.

Escrito por el modelo de indexación a partir del texto del issue.

Descripción

⚙️ In-progress 🐞 Bug 📌 Root caused
crawl4ai version

0.8.6

Expected Behavior

MCP scrape tools (crawl4ai_md, crawl4ai_html, etc.) should accept the same wait_until, delay_before_return_html, and cache_mode parameters as the REST API (POST /crawl) and CLI (crwl -c). This would allow MCP-based agents to reliably scrape JavaScript-heavy pages by waiting for content to fully load.

Example desired usage:

{
  "url": "https://example.com/dynamic-content",
  "wait_until": "networkidle",
  "delay_before_return_html": 2
}

Environment

Component Version
Crawl4AI 0.8.6
OS Debian GNU/Linux 12 (bookworm)
Python 3.12.13
Image unclecode/crawl4ai:latest

Suggested Fix

  1. Expose crawler_config parameters on MCP tool schemas — map wait_until, delay_before_return_html, cache_mode, etc. to the existing REST/CLI options
  2. Document MCP defaults vs REST/CLI behavior

Acceptance Criteria

  • MCP scrape tools accept wait_until parameter (load, domcontentloaded, networkidle, commit)
  • MCP scrape tools accept delay_before_return_html parameter
  • Documentation clarifies default wait behavior for each interface (MCP vs REST vs CLI)
Current Behavior

MCP tools return immediately after initial DOM load, without waiting for dynamic content. No parameters are exposed to control wait behavior.

  • REST API with crawler_config.wait_until: "networkidle" → ✅ Complete rendered content
  • CLI with -c 'wait_until=networkidle' → ✅ Complete rendered content
  • MCP tools → ❌ Incomplete content (dynamic elements missing)

Current workaround: Bypass MCP entirely and use POST /crawl directly.

Is this reproducible?

Yes

Inputs Causing the Bug
Any JavaScript-heavy / AJAX-driven page where content loads after initial page load.
Steps to Reproduce
1. Start Crawl4AI with MCP enabled at `/mcp/sse`
2. Configure any MCP client (e.g., OpenCode) with the Crawl4AI MCP server
3. Call MCP scrape tool:
   
   crawl4ai_md(url="https://example.com/dynamic-content")
   
4. Observe: Content is incomplete (dynamic elements not rendered)
5. Compare with working REST call:
   
   curl -s http://localhost:11235/crawl \
     -H 'Content-Type: application/json' \
     -d '{
       "urls": ["https://example.com/dynamic-content"],
       "crawler_config": {
         "wait_until": "networkidle",
         "cache_mode": "bypass"
       }
     }'
   
6. Observe: REST returns complete rendered content
Code snippets
OS

Debian GNU/Linux 12 (bookworm)

Python version

3.12.13

Browser

No response

Browser version

No response

Error logs & Screenshots (if applicable)

No response

Lenguaje dominante
Python
Estrellas
84.5k
Forks
8.7k
Merge medio
3 d 9 h
PR fusionados (30 d)
17

Preparar el entorno

Primeros pasos

  1. Lee el issue completo y luego la guía de contribución del proyecto.
  2. Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
  3. Haz un fork del repositorio y trabaja en una rama.
  4. Abre un pull request que haga referencia al número del issue.

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