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gaokao-helper-worker-mcp

by stmtc233
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TypeScript
Remote

Gaokao Helper MCP for Cloudflare Workers

A standalone Cloudflare Worker that exposes public Guangdong gaokao data through a read-only MCP endpoint.

Deploy to Cloudflare

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 /health returns a small health payload.

  • POST /mcp is the streamable HTTP MCP endpoint.

  • Static data files are deployed from the committed public/ snapshot, so this repository builds independently.

Related MCP server: NanoSearchMCP

Tools

  • list_data_files lists available data files and resource URIs.

  • read_data_sample reads a bounded sample from a CSV or JSON file.

  • search_schools searches across school, group, major, code, and other CSV text.

  • score_rank_lookup looks up the nearest row in score_rank_2026.csv.

Commands

npm ci
npm run dev

Deploy:

npm run deploy

After deployment, connect MCP clients to:

https://<your-worker-host>/mcp

Updating the data snapshot

When the source gaokao-helper checkout is the parent directory:

npm run sync:data

For a source checkout elsewhere, pass its path explicitly:

GAOKAO_HELPER_ROOT=/path/to/gaokao-helper npm run sync:data

Commit the updated files under public/ so Cloudflare's one-click deployment remains self-contained.

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivitySlowing
ResponsivenessSyncing

Resources

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