広告掲載
MCP.so
ログイン

MCP SERVER

@JeanVittory

リポジトリ

基本情報

カテゴリ

AI とエージェント

トランスポート

stdio

作者

JeanVittory

MCP SERVER について

With this MCP, you can debug your application by querying any issue to an LLM using the latest documentation available on the web. We currently support LangChain, LlamaIndex, and OpenAI docs, but you can add any other sources as needed.

#mcp-server#debugging#documentation-query

MCP SERVER 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": {
      "command": "uv",
      "args": [
        "--directory",
        "/ABSOLUTE/PATH/TO/YOUR/mcp-server-code",
        "run",
        "src/main.py"
      ],
      "env": {
        "SERPER_API_KEY": ""
      }
    }
  }
}

MCP SERVER 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?

MCP SERVER is a Model Context Protocol server that enables queries about any issue using the latest documentation available on the web. It currently supports LangChain, LlamaIndex, and OpenAI documentation, and is designed for developers debugging their applications.

How to use MCP SERVER?

Clone the repository, create a Python 3.12 virtual environment, activate it, and install with uv pip install -e .. Obtain a Serper API key and set it as an environment variable. Configure the MCP client (e.g., Claude Desktop) with the provided JSON snippet pointing to src/main.py. The server is invoked via the MCP client.

Key features of MCP SERVER

  • Query issues using the latest web documentation.
  • Supports LangChain, LlamaIndex, and OpenAI docs.
  • Easily add more documentation sources by editing a constant.
  • Uses Serper API for web search.
  • Built with Python 3.12.9, BeautifulSoup4, and MCP CLI.

Use cases of MCP SERVER

  • Debugging an application by searching for recent solutions.
  • Retrieving the most current answers from official documentation.
  • Extending the knowledge base by adding custom documentation URLs.

よくある質問

1

How do I install MCP SERVER?

Clone the GitHub repository, create a Python 3.12 virtual environment, activate it, and run `uv pip install -e .` inside the project directory.

2

What environment variable is required?

You need a Serper API key. Set it as the environment variable `SERPER_API_KEY` (generated at serper.dev).

3

How can I add more documentation sources?

Open the `docs_urls` variable in the constants folder and add the URLs of the documentation you want to reference to that dictionary.

4

What if I encounter an issue?

Contact the author at vittory.dev@gmail.com or submit an issue on the GitHub repository.

コメント

「AI とエージェント」の他のコンテンツ

q-ring

I4cTime

Quantum-inspired keyring for AI coding agents. Secure secrets with superposition, entanglement, tunneling, and teleportation — CLI + 44 MCP tools.

3

scvd.store

seancrecord

scvd.store is an evidence observatory for agentic commerce. Independent signed observation of what other people's endpoints, artifacts and payments actually did among other things. USDC on Base, Arbitrum One, World Chain

2

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

Krafters

Krafters (Romain Duclos)

Krafters is a French club of specialized AIs for freelancers and small businesses. Its connector opens the member's AI kits for Facebook and Instagram ads, SEO/GEO and short videos directly in Claude, and gives the next

BlazingCDN MCP - Content Delivery for Video, Software & Static Files

BlazingCDN

Official MCP server for BlazingCDN - AI agents (Claude, Cursor, Windsurf) manage CDN resources, purge cache, query metrics, domains, Anycast CDN, Video CDN and Media CDN

1
広告掲載