Pulse Backend MCP Server

What is Pulse Backend MCP Server?

A Model Context Protocol (MCP) server that provides BigQuery access and specialized data tools for developers within the company to increase productivity. It implements the MCP protocol to enable LLM-powered applications to access company data and execute specialized data functions in a controlled manner.

How to use Pulse Backend MCP Server?

Clone the repository, create a Python 3.13+ virtual environment, install dependencies, and configure Google Cloud credentials (via GOOGLE_APPLICATION_CREDENTIALS environment variable) and a .env file with GOOGLE_PROJECT_ID and CLICKUP_API_KEY. Start the server with mcp dev src/server.py on the default MCP port (typically 8080). Connect MCP-compatible clients (e.g., Claude Desktop) to discover and use the provided tools.

Key features of Pulse Backend MCP Server

• BigQuery Integration: Execute SQL queries against company BigQuery datasets
• Client Data Access: Retrieve client details and datasets from the data warehouse
• List tables in any BigQuery dataset with metadata
• Retrieve ClickUp task details with subtasks and comments
• Extensible architecture: add new tools by decorating functions in server.py

Use cases of Pulse Backend MCP Server

• A developer queries BigQuery for real-time sales data to inform product decisions
• A support agent retrieves client details and associated datasets quickly
• A data analyst lists and explores tables in a BigQuery dataset
• A project manager fetches ClickUp task details and comments without leaving the AI chat
• A team member extends the server with custom tools for new data sources