Vector GraphQL MCP Server

Name: Vector GraphQL MCP Server
Author: JussCubs

@JussCubs

代码仓库主页

关于 Vector GraphQL MCP Server

暂无概览

#mcp-server #graphql #api-tools

基本信息

分类

开发工具

运行时

python

传输方式

stdio

发布者

JussCubs

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"
      ]
    }
  }
}

工具

未检测到工具

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

FAQ from Vector GraphQL MCP Server

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).