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free-web-mcp

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free_web_mcp

Free Web MCP – ein kostenloser MCP-Server, der Claude / Cursor / anderen MCP-Clients Websuche (DuckDuckGo, ohne API-Key) sowie Tools zum Web-Scraping und zur Textextraktion bereitstellt.

Detaillierte Anforderungen finden Sie in docs/free_web_mcp.md.

Tools

Tool

Beschreibung

web_search(query, max_results=5)

DuckDuckGo-Suche, gibt eine Liste von {title,url,snippet,source} zurück

web_fetch(url, rendered=False)

Ruft eine Webseite ab, extrahiert den Haupttext und gibt {url,title,content,text_length} zurück; bei rendered=True kommt headless Chromium zum Einsatz (erfordert RENDER_ENABLED=true)

web_search_and_fetch(query, max_results=5, rendered=False)

Sucht und ruft anschließend die Haupttexte der Top-N-Ergebnisse einzeln ab

Related MCP server: qsearch

Schnellstart

uv sync

stdio-Modus (lokale Clients)

uv run free-web-mcp                # 或: uv run python -m free_web_mcp

Konfigurationsbeispiel für Cursor / Claude Desktop:

{
  "mcpServers": {
    "free-web-mcp": {
      "command": "uv",
      "args": ["run", "--directory", "/path/to/free_web_mcp", "free-web-mcp"]
    }
  }
}

HTTP-Modus (Remote-Bereitstellung)

uv run free-web-mcp --transport http   # 监听 .env 中的 HOST/PORT，默认 0.0.0.0:8000
curl http://localhost:8000/health      # -> {"status":"ok","service":"free-web-mcp"}

MCP-streamable-http-Endpunkt: http://<host>:8000/mcp.

Docker

# 默认：仅 HTTP 抓取路径
docker build -f docker/Dockerfile -t free-web-mcp .
docker run --rm -p 8000:8000 free-web-mcp

# 启用 headless 渲染（构建时下载 Chromium ~150MB；首次启动约 1-3s）
docker build -f docker/Dockerfile --build-arg INSTALL_PLAYWRIGHT_BROWSERS=true -t free-web-mcp:render .
docker run --rm -p 8000:8000 -e RENDER_ENABLED=true free-web-mcp:render

Konfiguration (.env)

.env.example nach .env kopieren und nach Bedarf anpassen; .env wird nicht ins Repository aufgenommen.

Variable

Standard

Beschreibung

HOST / PORT

0.0.0.0 / 8000

HTTP-Listenadresse

LOG_LEVEL

INFO

Log-Level

HTTP_TIMEOUT

30

Abruf-Timeout (Sekunden)

MAX_CONTENT_LENGTH

5000000

Obergrenze für die Antwortgröße (Bytes)

SEARCH_MAX_RESULTS

10

Harte Obergrenze für max_results

RENDER_ENABLED

false

Aktiviert den Headless-Browser (Playwright + Chromium)

RENDER_TIMEOUT

30

Render-Timeout (Sekunden)

RENDER_MAX_BYTES

5000000

Obergrenze für die Antwortgröße nach dem Rendern (Bytes)

Entwicklung

uv run pytest                  # 测试
uv run ruff check .            # lint
uv run mypy                    # 类型检查（strict）

Architektur

Strikte Schichtung: MCP-Tool-Ebene → Service-Ebene (SearchService/FetchService) → Provider/HTTP-Ebene. Die Suchquelle ist austauschbar (aktuelle Implementierung: DuckDuckGoProvider); HTTP läuft einheitlich über WebClient. Für die Textextraktion wird bevorzugt trafilatura verwendet, mit BeautifulSoup als Fallback. Details siehe AGENTS.md.

Available Tools

3 tools
web_fetchB

Fetch a webpage and extract its main readable content.

Set rendered=True to drive a headless browser (requires RENDER_ENABLED=true).

ParametersJSON Schema
NameRequiredDescriptionDefault
urlYes
renderedNo

Output Schema

ParametersJSON Schema
NameRequiredDescription

No output parameters

TDQS

B3.4/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full transparency burden. It usefully discloses that rendered=True drives a headless browser and requires RENDER_ENABLED=true, going beyond the schema. However, it does not explain the default non-rendered behavior, failure modes, or other behavioral constraints.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences with the main purpose front-loaded and the optional rendering mode stated compactly. Every sentence earns its place and there is no filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple two-parameter fetch tool with an output schema, the description covers the core behavior and the one non-obvious mode. It is slightly incomplete in that it omits explicit sibling routing and default-mode behavior, but it is sufficient for basic invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It adds real meaning for rendered by explaining the headless-browser behavior and the RENDER_ENABLED requirement, but the url parameter is only implicitly covered by 'Fetch a webpage' and gets no format or constraint detail.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Fetch') and resource ('a webpage') and adds the key value extra ('extract its main readable content'), making the core purpose clear. It does not explicitly differentiate from the sibling web_search_and_fetch, which may also involve fetching pages.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives no guidance about when to use this tool instead of web_search or web_search_and_fetch. The rendered=True note is a configuration instruction, not a usage-selection guideline, and no alternatives or exclusions are mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

web_search_and_fetchA

Search the web, then fetch and extract text from each result URL.

Set rendered=True to drive a headless browser (requires RENDER_ENABLED=true).

ParametersJSON Schema
NameRequiredDescriptionDefault
queryYes
renderedNo
max_resultsNo

Output Schema

ParametersJSON Schema
NameRequiredDescription

No output parameters

TDQS

A3.6/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral disclosure burden. It does disclose that rendered=True drives a headless browser and requires RENDER_ENABLED=true, and that it fetches from each result URL. However, it omits potential issues like rate limits, latency, fetch failures, or how many URLs are actually processed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two concise sentences with the core operation front-loaded and the conditional rendered caveat placed after. Every sentence earns its place and there is no redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The output schema covers return shape, so that omission is acceptable. However, for a compound tool with no annotations, the description leaves meaningful gaps around max_results behavior, fetch error handling, and operational implications of fetching multiple URLs.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description only explains the rendered parameter. The query and max_results parameters receive no semantic explanation beyond their names, and max_results in particular is non-obvious regarding how it limits the fetch stage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific compound action: search the web, then fetch and extract text from each result URL. This clearly distinguishes it from the sibling tools web_search and web_fetch, which each cover only one stage of the workflow.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies this tool is for combined search-and-fetch workflows, but it never explicitly names the sibling tools or states when to prefer a single-stage tool instead. The usage guidance is left mostly to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 3 tool updatesv0.1.0
    • First observedweb_fetch
    • First observedweb_search
    • First observedweb_search_and_fetch
Deploy Server
Give agents eyes on the webHosted screenshot MCP. Send a URL, get a pixel-perfect image. $0.002 per grab. Works with Claude, Cursor, and Codex.grabbit.liveAd

TDQS

A3.7/5.0

Scored across 3 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: web_search returns results, web_fetch retrieves a single page, and web_search_and_fetch explicitly combines both. There is no meaningful overlap between the three.

Naming Consistency5/5

All tool names follow the consistent web_<action> pattern using lowercase snake_case. The names clearly indicate their operation, including the compound web_search_and_fetch.

Tool Count5/5

Three tools is a reasonable, well-scoped size for a simple web retrieval server. Each tool earns its place, and the combined search-and-fetch adds convenience without bloating the surface.

Completeness4/5

The core search-and-fetch workflow is fully covered, with an optional rendered mode for JavaScript-heavy pages. A minor gap is lack of a tool for raw HTML or structured page extraction, but most basic browsing needs are addressed.

Maintenance

ActivityMaintained
ResponsivenessNo issues

Resources

Related MCP Connectors

Related MCP Servers

  • qsearch

    theYahia
    A
    license
    Not graded
    quality
    B
    maintenance
    Enables AI agents to perform web searches with full content retrieval and multi-engine provenance, including trust scoring and local corpus persistence, via MCP integration.
    1 npm
    3
    Apache 2.0

  • jiro

    DevAnimecx
    A
    license
    Not graded
    quality
    A
    maintenance
    Enables AI agents to perform live web searches across 9 engines, scrape web pages into clean formats, and run agentic research with citations via MCP.
    98 PyPI
    3
    MIT

  • CrawlEyes

    waiky-github
    A
    license
    B
    quality
    B
    maintenance
    Enables AI agents to perform web searches and extract full-text content from web pages via standard MCP tools, with fallback search and semantic reranking.
    2
    2
    MIT