広告掲載
MCP.so
ログイン

MCP Server Requests

@coucya

リポジトリ

基本情報

カテゴリ

AI とエージェント

ライセンス

MIT

トランスポート

stdio

作者

coucya

MCP Server Requests について

Web Content Retrieval (full webpage, filtered content, or Markdown-converted), Custom User-Agent, Multi-HTTP Method Support (GET/POST/PUT/DELETE/PATCH), LLM-Controlled Request Headers, LLM-Accessible Response Headers, and more.

#crawler#web#spider#webpage#mcp#requests#fatch#llm#modelcontextprotocol

MCP Server Requests の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "mcp-server-requests": {
      "command": "python",
      "args": [
        "-m",
        "mcp_server_requests"
      ]
    }
  }
}

MCP Server Requests のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is mcp-server-requests?

An MCP server that provides HTTP request capabilities, enabling LLMs to fetch and process web content. It offers tools for fetching web content, saving it to files, and making generic HTTP requests, with support for content cleaning and markdown conversion.

How to use mcp-server-requests?

Install by cloning the repository and running pip install .. Configure in the MCP client settings by adding the command python -m mcp_server_requests to the mcpServers JSON. The server can also be started directly from the command line with various optional arguments for User‑Agent and root support.

Key features of mcp-server-requests

  • Fetch web content and convert to Markdown.
  • Filter out non‑visual elements (script, style, meta).
  • Save fetched content directly to files (avoids token consumption).
  • Generic HTTP requests with GET, POST, PUT, PATCH, DELETE.
  • Custom or random User‑Agent strings.
  • MCP workspace root support for file operations.

Use cases of mcp-server-requests

  • Fetch a web page and feed its Markdown content into an LLM.
  • Save scraped web content to a file for later analysis.
  • Make API calls with custom headers and body (JSON/text).
  • Retrieve raw HTML for processing outside the LLM context.
  • Use workspace roots to restrict file saving to project directories.

よくある質問

1

How do I install mcp-server-requests?

Clone the repository from GitHub, then run `pip install .` in the project directory. Python is required.

2

How can I customize the User-Agent?

Use the `--user-agent` flag with a custom string, or `--random-user-agent` to generate a random one optionally constrained by browser and OS.

コメント

「AI とエージェント」の他のコンテンツ

Transform MCP

Unstructured

The Unstructured Transform MCP Server connects your ADK agent to Unstructured, a document processing platform that turns raw files into structured, AI-ready data. This integration gives your agent the ability to parse PD

Rumoro

@Rumoro

Social listening for AI agents. Rumoro's remote MCP server lets Claude, Cursor, Codex and other MCP clients search and sort mentions of your product, your competitors and your topics on Reddit, X, Hacker News, GitHub, Yo

OpenZiti / LLM-Gateway

openziti

NetFoundry LLM Gateway is an OpenAI-compatible API proxy that routes requests across multiple LLM providers using zero-trust networking. Zero trust LLM gateway. OpenAI-compatible proxy with semantic routing and load bala

93

Melaya

Melaya Labs

**Melaya gives an AI assistant hands.** It is a remote MCP server, so there is nothing to install and no API key to configure — one URL works in Claude, ChatGPT, Le Chat, Cursor and any MCP client. ### Your Android phon

Lumify Sports Intelligence

Lumify

Agent-ready sports intelligence API: live scores, odds, line movement, public betting splits, and explainable bet confidence — via 16 MCP tools at https://lumify.ai/mcp. Get a free key instantly — no signup, email, or ca

広告掲載