mcp-server-test

mcp-server-test

0

The Vector GraphQL MCP Server is designed to interact with the Vector GraphQL API, featuring functions like fetching leaderboard data and detailed trader profiles. It supports querying Solana tokens and their broadcasts, making it valuable for financial data retrieval.

Vector GraphQL MCP Server

This MCP server provides tools for querying the Vector GraphQL API:

  • fetch_leaderboard: Get Vector leaderboard data
  • fetch_profile: Get detailed trader profile data
  • fetch_token_data: Get trending Solana tokens
  • fetch_token_broadcasts: Get broadcasts for a specific token

Setup

# Clone the repository
git clone https://github.com/JussCubs/mcp-server-test.git
cd mcp-server-test

# Install dependencies with uv
uv add "mcp[cli]" httpx

If you don't have uv installed, you can install it following the instructions at https://github.com/astral-sh/uv.

Alternatively, you can use pip:

pip install -r requirements.txt

Usage

# Run in development mode with the MCP Inspector
uv run mcp dev vector_server.py

# OR if you're using pip
mcp dev vector_server.py

# Install in Claude Desktop
uv run mcp install vector_server.py

# OR if you're using pip
mcp install vector_server.py

Troubleshooting

If you see a warning like The package 'mcp==X.X.X' does not have an extra named 'cli', you may need to install the CLI tools separately:

pip install mcp httpx "click>=8.0" "rich>=10.0" "typer>=0.9.0"

Tool Documentation

fetch_leaderboard

Fetches Vector leaderboard data:

  • leaderboard_type: The type of leaderboard (default: 'PNL_WIN')

fetch_profile

Fetches detailed profile data for a Vector trader:

  • username: Vector username to fetch

fetch_token_data

Fetches trending Solana tokens from Vector. This tool has no parameters and returns trending tokens with 5-minute broadcast activity.

fetch_token_broadcasts

Fetches broadcasts for a specific token:

  • token_id: Vector token ID