About mcp-servers
A read-only BigQuery MCP server that can be started as an SSE service or with Docker. Its README provides setup and Claude Desktop connection instructions for users who need MCP access to BigQuery.
Key features
- 01Read-only BigQuery access
- 02SSE server startup
- 03Docker-based startup
- 04Claude Desktop connection instructions
Use cases
- 01Expose BigQuery through an MCP server
- 02Connect Claude Desktop to a local SSE endpoint
MCP support
It runs as an MCP server and can be started over SSE. The README shows connecting Claude Desktop through mcp-proxy.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEbigquery-mcp-server
Setup
uv sync
MCP Server
start sse server
uv run main.py
or docker
docker compose up
mcp inspector
npx @modelcontextprotocol/inspector npm run dev
MCP Client
claude desktop
{
"mcpServers": {
"servers": {
"command": "uvx",
"args": ["mcp-proxy", "http://localhost:8001/sse"]
}
}
}
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.