Which integrations are available for this server?

Provides meta-search capabilities via SearXNG, enabling web searches with academic bias, deduplication, and access to raw JSON results including answers and infoboxes.

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@carbs Deep research on the effects of intermittent fasting on metabolism" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

carbs

by ferre-z

Overview Schema Source Related Servers Score Discussions Admin

Python

Local

Carbs

A research MCP server that bundles SearXNG (meta-search) + Crawl4AI (JS-rendered web scraping) behind one command. Runs 100% local.

Quick start

make up        # generates .env (token) if needed, starts searxng + crawl4ai + carbs

MCP endpoint: http://localhost:8765/mcp (streamable-http).

// ~/.config/opencode/opencode.jsonc
"mcp": {
  "carbs": {
    "type": "http",
    "url": "http://127.0.0.1:8765/mcp",
    "enabled": true
  }
}

For Claude Code / Codex, the same http://127.0.0.1:8765/mcp URL works in their MCP configs.

Related MCP server: searxNcrawl

Tools

Tool	Purpose
`search`	Meta-search with academic bias, deduped
`search_json`	Raw SearXNG JSON (answers, infoboxes)
`scrape`	Single URL → clean markdown (with fallback chain)
`crawl_urls`	Batch crawl, concurrency-capped
`extract_structured`	LLM JSON extraction from a page
`deep_research`	Search → parallel scrape → synthesize
`health`	Backend status

Config

Everything is env-driven — see src/carbs/config.py for the full list (SEARXNG_URL, CRAWL4AI_URL, CRAWL4AI_API_TOKEN, LLM_PROVIDER, cache TTL, crawl concurrency, ports).

Development

uv sync --dev
uv run pytest
uv run python -m carbs --http --host 127.0.0.1 --port 8765   # run MCP locally against running backends

License

MIT

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

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Maintenance

ActivityMaintained

ResponsivenessNo issues

Resources

GitHub Repository

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