gaokao-helper-worker-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@gaokao-helper-worker-mcpFind schools by name '实验中学'"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Gaokao Helper MCP for Cloudflare Workers
A standalone Cloudflare Worker that exposes public Guangdong gaokao data through a read-only MCP endpoint.
The deployment button creates a copy of this repository in your GitHub account, provisions a Worker, and configures Workers Builds for subsequent pushes.
Endpoints
GET /healthreturns a small health payload.POST /mcpis the streamable HTTP MCP endpoint.Static data files are deployed from the committed
public/snapshot, so this repository builds independently.
Related MCP server: luogu-mcp-server
Tools
list_data_fileslists available data files and resource URIs.read_data_samplereads a bounded sample from a CSV or JSON file.search_schoolssearches across school, group, major, code, and other CSV text.score_rank_lookuplooks up the nearest row inscore_rank_2026.csv.
Commands
npm ci
npm run devDeploy:
npm run deployAfter deployment, connect MCP clients to:
https://<your-worker-host>/mcpUpdating the data snapshot
When the source gaokao-helper checkout is the parent directory:
npm run sync:dataFor a source checkout elsewhere, pass its path explicitly:
GAOKAO_HELPER_ROOT=/path/to/gaokao-helper npm run sync:dataCommit the updated files under public/ so Cloudflare's one-click deployment remains self-contained.
This server cannot be installed
Maintenance
Resources
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If you are the server author, to access and configure the admin panel.
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