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Vector GraphQL MCP Server

@JussCubs

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基本情報

カテゴリ

開発者ツール

トランスポート

stdio

作者

JussCubs

Vector GraphQL MCP Server について

概要はまだありません

#mcp-server#graphql#api-tools

Vector GraphQL 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-test-jusscubs": {
      "command": "uv",
      "args": [
        "run",
        "mcp",
        "dev",
        "vector_server.py"
      ]
    }
  }
}

Vector GraphQL 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 Vector GraphQL MCP Server?

Vector GraphQL MCP Server is an MCP server that provides tools for querying the Vector GraphQL API. It is intended for developers who want to retrieve leaderboard data, trader profiles, trending Solana tokens, and token broadcasts from Vector.

How to use Vector GraphQL MCP Server?

Clone the repository, install dependencies with uv or pip, then run in development mode using uv run mcp dev vector_server.py or install in Claude Desktop with uv run mcp install vector_server.py.

Key features of Vector GraphQL MCP Server

  • Query Vector leaderboard data via fetch_leaderboard
  • Retrieve detailed trader profiles via fetch_profile
  • Get trending Solana tokens via fetch_token_data
  • Fetch broadcasts for specific tokens via fetch_token_broadcasts
  • Supports installation with uv or pip
  • Includes MCP Inspector for development testing

Use cases of Vector GraphQL MCP Server

  • Monitor top traders on Vector by fetching leaderboard rankings
  • Analyze individual trader performance by fetching profile details
  • Track trending Solana tokens with recent broadcast activity
  • Retrieve token-specific broadcast history for research or alerts

よくある質問

1

How do I set up the server?

Clone the repository, install dependencies with `uv add "mcp[cli]" httpx` or `pip install -r requirements.txt`, then run `uv run mcp dev vector_server.py` or `mcp dev vector_server.py`.

2

What dependencies are required?

The server requires `mcp[cli]` and `httpx` when using `uv`, or the packages listed in `requirements.txt` when using `pip`. For CLI tools separately, install `mcp`, `httpx`, `click>=8.0`, `rich>=10.0`, and `typer>=0.9.0`.

3

What tools are available?

Four tools: `fetch_leaderboard`, `fetch_profile`, `fetch_token_data`, and `fetch_token_broadcasts`. Each has documented parameters (e.g., leaderboard_type for fetch_leaderboard, username for fetch_profile, token_id for fetch_token_broadcasts; fetch_token_data has no parameters).

4

How can I install the server in Claude Desktop?

Run `uv run mcp install vector_server.py` (with `uv`) or `mcp install vector_server.py` (with `pip`).

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