Vector GraphQL MCP Server

@JussCubs

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基本信息

分类

开发工具

传输方式

stdio

作者

JussCubs

关于 Vector GraphQL MCP Server

暂无概览

#mcp-server #graphql #api-tools

Vector GraphQL MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Vector GraphQL MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

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`.

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`.

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).

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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